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Research Article Sugarcane Landraces of Ethiopia: Germplasm Collection and Analysis of Regional Diversity and Distribution Esayas Tena Gashaw , 1 Firew Mekbib, 2 and Amsalu Ayana 3 1 Ethiopian Sugar Corporation, Research and Development, Eastern Shewa Zone, P.O. Box 15, Wonji, Ethiopia 2 Haramaya University, College of Agriculture and Environmental Sciences, School of Plant Sciences, P.O. Box 138, Dire Dawa, Ethiopia 3 Integrated Seed Sector Development Ethiopia Program, Addis Ababa, Ethiopia Correspondence should be addressed to Esayas Tena Gashaw; [email protected] Received 8 May 2018; Revised 6 July 2018; Accepted 19 July 2018; Published 14 August 2018 Academic Editor: Clifford Gold Copyright © 2018 Esayas Tena Gashaw et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Sugarcane has been cultivated by smallholder farmers since 16 th century in Ethiopia and preceded the commercial production. However, as far as this study is concerned, no exploration and collection have been conducted to know the landraces and study the regional diversity of the crop. erefore, the objectives of this study were to collect native sugarcane landraces in Ethiopia and to assess phenotypic diversity and analyze regional distribution among landraces collected from different geographical regions. More than 300 sugarcane genotypes were collected. e landraces were analyzed for 21 quantitative stalk and juice quality characters and 16 qualitative characters. Phenotypic diversity among landraces was high, as expressed by the large range of variation for mean quantitative traits and the high (0.80) Shannon–Weaver diversity index. Our results provided experimental evidence on occurrence of geographical variation and significant within-region variation where it was high in the regions of Amhara, Benshangul-Gumz, and SNNPR. Wide variability of agronomically important characters in sugarcane such as millable stalk count at harvest, single cane weight, and plant height was observed among regions. ese characters also demonstrated high correlation with cane and sugar yield and the altitude of the collection sites. erefore breeders can utilize accessions of regions showing variability for these characters in selection programs and to design breeding strategies to produce varieties with best commercial merits. e present study contributes to updating sugarcane descriptors adopted from USDA-ARS as well as Bioversity passport data for the future collection and evaluation. e paper discussed insinuation of the results with regard to plant breeding, germplasm collection, and conservation as well as the plausible sources for the wide range of variation observed. is is the first study to report landrace sugarcane genetic resources in Ethiopia and information on geographical pattern of variation in Ethiopian local sugarcane germplasm. 1. Introduction Sugarcane plays a significant role in the Ethiopian socioecon- omy. Sugar and its byproduct are used for local consumption and export. e industry created job opportunity for a large number of people. Today in the country sugar consumption outstrips its production. e per capita sugar consumption in Ethiopia is very low (5-6 kg) which is even below the African standard (15 kg) while the world average per capita consumption is 21 kg in 2016. e commercial sugarcane sector in Ethiopia commenced since 1951. Sugar Corporation of Ethiopia currently administers six sugar factories, namely, Wonji-Shoa, Metahara, Finchaa, Tendaho, Arjo-dedessa, and Kessem, and nine sugar development projects at Kuraz, Tana Beles, and Welkayit. Sugarcane plantations are expanding with current area coverage of 98,986 hectares and production of 400,000 tons of sugar and 25,388 m 3 of ethanol per annum. e new sugar factories planned to have ethanol and cogeneration facilities thereby increasing the production of sugar and coproducts. Accordingly, when all projects are completed the annual sugar production will be boosted to 3.9-4.17 million tons, ethanol production will be 181 million litres and the factories contribute 709 Mega Watt electric power to the national grid. is is 11.8% of sugar production Hindawi Advances in Agriculture Volume 2018, Article ID 7920724, 18 pages https://doi.org/10.1155/2018/7920724
19

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Page 1: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Research ArticleSugarcane Landraces of Ethiopia Germplasm Collection andAnalysis of Regional Diversity and Distribution

Esayas Tena Gashaw 1 FirewMekbib2 and Amsalu Ayana3

1Ethiopian Sugar Corporation Research and Development Eastern Shewa Zone PO Box 15 Wonji Ethiopia2HaramayaUniversity College of Agriculture and Environmental Sciences School of Plant Sciences PO Box 138 Dire Dawa Ethiopia3Integrated Seed Sector Development Ethiopia Program Addis Ababa Ethiopia

Correspondence should be addressed to Esayas Tena Gashaw esutena11gmailcom

Received 8 May 2018 Revised 6 July 2018 Accepted 19 July 2018 Published 14 August 2018

Academic Editor Clifford Gold

Copyright copy 2018 Esayas Tena Gashaw et al This is an open access article distributed under the Creative Commons AttributionLicense which permits unrestricted use distribution and reproduction in any medium provided the original work is properlycited

Sugarcane has been cultivated by smallholder farmers since 16th century in Ethiopia and preceded the commercial productionHowever as far as this study is concerned no exploration and collection have been conducted to know the landraces and study theregional diversity of the crop Therefore the objectives of this study were to collect native sugarcane landraces in Ethiopia and toassess phenotypic diversity and analyze regional distribution among landraces collected from different geographical regions Morethan 300 sugarcane genotypes were collected The landraces were analyzed for 21 quantitative stalk and juice quality charactersand 16 qualitative characters Phenotypic diversity among landraces was high as expressed by the large range of variation for meanquantitative traits and the high (080) ShannonndashWeaver diversity index Our results provided experimental evidence on occurrenceof geographical variation and significant within-region variation where it was high in the regions of Amhara Benshangul-Gumzand SNNPR Wide variability of agronomically important characters in sugarcane such as millable stalk count at harvest singlecane weight and plant height was observed among regions These characters also demonstrated high correlation with cane andsugar yield and the altitude of the collection sites Therefore breeders can utilize accessions of regions showing variability forthese characters in selection programs and to design breeding strategies to produce varieties with best commercial merits Thepresent study contributes to updating sugarcane descriptors adopted from USDA-ARS as well as Bioversity passport data forthe future collection and evaluation The paper discussed insinuation of the results with regard to plant breeding germplasmcollection and conservation as well as the plausible sources for the wide range of variation observed This is the first study toreport landrace sugarcane genetic resources in Ethiopia and information on geographical pattern of variation in Ethiopian localsugarcane germplasm

1 Introduction

Sugarcane plays a significant role in the Ethiopian socioecon-omy Sugar and its byproduct are used for local consumptionand export The industry created job opportunity for a largenumber of people Today in the country sugar consumptionoutstrips its production The per capita sugar consumptionin Ethiopia is very low (5-6 kg) which is even below theAfrican standard (15 kg) while the world average per capitaconsumption is 21 kg in 2016 The commercial sugarcanesector in Ethiopia commenced since 1951 Sugar Corporationof Ethiopia currently administers six sugar factories namely

Wonji-Shoa Metahara Finchaa Tendaho Arjo-dedessa andKessem and nine sugar development projects at Kuraz TanaBeles and Welkayit Sugarcane plantations are expandingwith current area coverage of 98986 hectares and productionof 400000 tons of sugar and 25388m3 of ethanol perannum The new sugar factories planned to have ethanoland cogeneration facilities thereby increasing the productionof sugar and coproducts Accordingly when all projects arecompleted the annual sugar production will be boosted to39-417 million tons ethanol production will be 181 millionlitres and the factories contribute 709 Mega Watt electricpower to the national grid This is 118 of sugar production

HindawiAdvances in AgricultureVolume 2018 Article ID 7920724 18 pageshttpsdoiorg10115520187920724

2 Advances in Agriculture

by the leading sugar producer Brazil with a total amount of353 million tons produced in 201617 [1] Similarly Brazilianethanol production reached 3023 billion litres in 201516

Though commercial sugarcane production has a historyof six decades sugarcane had been cultivated in Ethiopiasince 16th century According to the report by central statisticsagency (CSA) currently sugarcane is produced in about3123681ha with 156506000 holdings in different parts ofthe country [2] But the production is not usually usedfor industrial purposes It is noticeably used for makingconfectioneries household consumption (chewing) sellingfor immediate cash and feeding livestock In some areassugarcane is used to prepare local beverage called ldquoKaribordquomainly preferred byMuslim communities while in others theleaves are used for thatching and as firewood [3] Howeverthe potential of this sector is not well explored and has notbeen given due consideration Furthermore no explorationand germplasm collection have been done to represent andpreserve local landraces

The sugar industry of Ethiopia is so far dependent onintroduction of exotic varietieswhich are not suitably adaptedto various agroecologies and local growing conditions Inlight of the rapidly increasing commercial sugarcane planta-tion areas in the country the demand for improved varietiesthat suit various agroecologies is increasing Under suchsituations there will be a continuous demand for broadgenetic base sugarcane varieties that are high yielding andstable under abiotic and biotic stressesTherefore the industryis currently launching breeding program which is long over-due to produce its own improved varieties The developmentof high yielding and stable varieties requires a continuoussupply of new germplasm as a source of desirable genesandor gene complexes The primary sources of such genesare landraces introductions weedy and wild relatives of cropplants [4 5] The availability of such germplasm requiresthe identification of areas of diversity of various charactersof agronomic importance especially in the local landracesgrowing within the variable agroecologies of Ethiopia There-fore germplasm collection and conservation and the studyof genetic diversity of Ethiopian sugarcane landraces areworthwhile since this can broaden the genetic base andprovide locally adapted genes for improvement of the crop

In spite of the great importance of Ethiopian sugarcanelandraces for the germplasm genetic base improvement andutilization in the breeding program no effort has beenmade so far to collect and preserve this genetic wealthFurthermore study of the variation and assessment of extentand geographical pattern of distribution of this landracesis lacking For effective utilization of germplasm in plantbreeding programmes the information on the extent andpatterns of distribution of genetic variation of a crop species isvery essential [6ndash8]This also canhelp in devising appropriatesampling procedures for germplasm collection and conser-vation and obtaining core collection for efficient germplasmmanagement [9 10]

The objectives of this study were to collect sugarcanelandraces in Ethiopia and to assess phenotypic diversity andanalyze regional distribution among landraces collected fromdifferent geographical areas

2 Materials and Methods

21 Germplasm Collection

211 Sampling Technique Sugarcane germplasm were col-lected during 201011 all across Ethiopia in the regionalstates of Amhara (07102010-09052011) Oromia (26082010-08072011) Southern Nations Nationalities andPeoples Region (SNNPR) (10082010-09122010) Tigray(21042011-09052011) Benshangul-Gumz (20122010-15022011) Gambella (04112010-28112010) Somali (29062011-26072011) and Harari (02062011-23062011)(Figure 1 Supplemental Table 1) Collection was made fromhomesteads farmersrsquo fields and local markets Germplasmwas collected using stratified random sampling techniquesampling areas are shown in Figure 1 In each region all zoneswere sampled Two to four districts (locally referred to asldquoWeredasrdquo) were selected from each zone From each district(depending on size a district contains several localities orsubdistricts) 2-5 subdistricts (locally referred as ldquoKebelesrdquo)or peasant associations (PAs) were selected The districts andsubdistricts were selected based on long agricultural historyand relatively wide areas allocated to sugarcane productionMoreover purposive sampling was also employed based oninformation supplied by key informants on the unique andquality sugarcane types grown in these areas In the selectedsubdistricts sugarcane clones were collected following themethods proposed in [11] Each distinct morphotype in avillage was randomly sampled Information on the sampledsugarcane germplasm was recorded and passport data wascollected following the method of Bioversity International[12] Moreover juice sample was taken from the bottommiddle and top part of the stalk of each clone and meanpercent brix reading was recorded using hand refrac-tometer

212Determination of the Physical andChemical Properties ofSoils in SugarcaneGermplasmCollectionAreas Todeterminethe predominant physical and chemical properties and thefertility status of soils under sugarcane production sampleswere collected and analyzed across germplasm collectionareas Georeferencing (latitude and longitude) of the studysites were made with a Garmin GPS In every germplasmsampling area a composite soil sample was taken between0ndash30 and 30ndash60 cm depths Soil samples were analyzed fororganic carbon total nitrogen (N) soil pH soil electricalconductivity (EC) available phosphorus (P) and availablepotassium (K) contents using standard procedures [13] SoilpH was measured potentiometrically using a digital pHmeter (Jenway Model-3320 GransmoreGeeen) Soil EC wasmeasured using digital conductivity meter (Jenway Model-4310 GransmoreGeeen) Organic carbon was determinedfollowing the wet digestion method described in [14] Total Nwas determined using the Kjeldahal procedure [13] Availablephosphorus was determined using the Olsen method [15]and Bray II method [16] for acidic soils Available K wasmeasured by flame photometry using the sodium acetateextractant method at pH 48 [17] Soil texture was determinedby hydrometer method [17]

Advances in Agriculture 3

1700000

1500000

1300000

1100000

900000

700000

500000

300000

1700000

1500000

1300000

1100000

900000

700000

500000

300000

minus300000 100000 500000 900000 1300000 1700000

minus300000 100000 500000 900000 1300000 1700000

Sampling Site Location Map

Figure 1 A map of Ethiopia showing sugarcane germplasm collection sites (black circles)

Table 1 Location information of the test sites

Location Latitude Longitude Altitude (masl)119886 Rainfall (mm) Temperature (∘C)Minimum Maximum

Wonji 8∘311015840 N 39∘121015840 E 1550 800 153∘C 269∘CMetehara 8∘511015840 N 39∘ 521015840 E 950 554 175∘C 326∘C119886masl = meters above sea levelSource meteorological Stations of respective locations

22 Diversity Study

221 Plant Materials A total of 211 sugarcane (Saccharumspp) accessions consisting of 196 landraces (SupplementalTable 3) and 15 introduced commercial varieties including2 standard varieties (Supplemental Table 4) were used forthis study The landraces represent collections from allgeographical regions across Ethiopia maintained at fieldconservation garden at Wonji and Metehara Sugar EstatesSugar Corporation of Ethiopia Sampling of the landraces wasmade on representation basis stratified systematic samplingmethod to a given range of geographic area altitudinalranges and a range of morphological traits The introducedmaterials were commercial varieties under production indifferent estates where the two were standard varieties

The 196 landraces were collections from the followingregions of Ethiopia Amhara (47) Benshangul-Gumz (10)Gambella (3) Harari (2) Oromiya (65) SNNPR (59) Somali(3) and Tigray (7) (Figure 1) The altitude of the collectionsites for the landraces used in this study ranged from 454to 2687 meters above sea level representing the distributionof the crop in Ethiopia The introduced materials were fromBarbados (6) Cuba (1) India (5) Mexico (1) and SouthAfrica (2)

222Methods The plant materials were grown at Wonji andMetehara Sugar Estates of Sugar Corporation of Ethiopiaduring the 201213 growing season Details of the plantinglocations are shown in Table 1 Each accession was grown ina single row plot of 5m long and 145m between rows and20 cm between plants within a row with two replications inrandomized complete block design

Uniform crop management practices were applied asrecommended for the areas Urea was applied 25 monthsafter planting at a rate of 200 kgsdothaminus1 atWonji and 400 kgsdothaminus1at Metehara

Accessions from regions with sample size less than 12were included in adjacent regions to reduce experimentalerror due to small sample size Hence the two Harari andthree Somali accessions were included in Tigray and thethree Gambella accessions were included in Benshangul-GumzThis reduced the 8 regions of Ethiopia fromwhich thelandraces were originally drawn to five With the introducedmaterials included 6 regions of origin were used in thestatistical analyses

Data on 17 quantitative stalk characters was recordednamely sprout count 1 and 2 months after planting(SPC1MAP and SPC2MAP) tiller counts 4 and 5month afterplanting (TC4MAP and TC5MAP) stalk count 10 months

4 Advances in Agriculture

after planting (STC10MAP) hand refractometer brix reading10 months after planting (HRBrix10MAP) millable stalkcount per hectare (MSCHA) single cane weight (SCW)number of internode (NOI) internode length (IL) stalkheight (SH) stalk diameter (SD) leaf length (LL) leaf width(LW) leaf area (LA) cane yield quintal per hectare (CYHA)and sugar yield quintal per hectare (SY) Data on 4 juicequality parameters ie brix percent (Brix) pol percent(pol ) purity percent (purity ) and sugar percent (SR) was also recorded For every accession ten plants wereused for recording data for quantitative characters whichwere recorded on plot basis Count data and cane yield wererecorded considering all cane stalks from the whole plot Forquantitative leaf characteristics measurement a proceduredeveloped in [18] was used

To categorize each accession morphologically sugarcanedescriptors adopted fromUSDA-ARSwere employed (GRIN2004) Data on 16 qualitative traits was recorded namelypresence or absence of bud cushion (BUDCUSHION) rel-ative degree of bud extension (BUDEXTEND) relative budshape (BUDSHAPE) relative shape of dewlap (DEWLAP-SHAP) type of outer auricle (AURICLEOUT) presence orabsence of stalk corky cracks (STALKCORKC) presenceor absence of stalk corky patches (STALKCORKP) relativeshape of ligule (LIGSHAPE) presence or absence of stalkgrowth cracks (STALKCRACK) presence or absence of budgroove (BUDGROOVE) relative plant erectness (ERECT)relative degree of internode alignment (INALIGN) relativeinternode shape (INSHAPE) colour of the leaves (LEAF-COLOR) colour of the exposed rind (RINDCOLE) andcanopy structure (CANOPY) Each accession was scored forthe most frequent character-state Leaf colour and colourof the exposed rind were examined and scored using theMunsell colour chart [19]

223 Statistical Analyses First analysis of variance wasmadefor the 21 characters for each location Homogeneity ofthe error variances among the locations was assessed in[20] F-max method for each of the 21 characters The testestablished the homogeneity of the error variances for allcharacters except TC4MAP For TC4MAP logarithmic datatransformation which is recommendable for continuousdata was used to homogenize the error variance Thendata of all the characters were subjected to test location-accession-related analysis of variance to determine effects oftest sites and genotype X environment (G X E) interactionThe results showed the nonsignificance of effects of testsites for SPC1MAP IL LW Pol sugar percent (SR) andthe nonsignificance of G X E interactions for SPC2MAPSCW Brix Pol and Brix10MAP For the other charactersboth test site effects and G X E interactions were significant(Plt005)

Analysis of variance was made for 21 quantitative char-acters following the procedure used in [21 22] The meansquares of the regions were tested against pooled meansquares of accessions within regions The pooled meanssquares for accessions within regions of origin and the meansquares of accessions within each region were tested against

the pooled within-region error mean squares Means rangesfor means and percent coefficients of variation for all thecharacters were computed for each region of origin and forthe entire data The regional means were compared usingDuncanrsquos multiple range testing Correlations between thecharacters were computed at three levels First correlationsof the characters were assessed based on the 211 accessionmeans Then interregion correlation was computed usingthe means of characters for each region Finally a series ofintraregion correlation coefficient matrices were obtained foreach region using the accession means from that region forthe characters

For qualitative characters phenotypic frequency distri-butions were worked out for all the sample germplasm andlocations The ShannonndashWeaver diversity index (H1015840) wascomputed using the phenotypic frequencies to assess thephenotypic diversity for each character for all accessions TheShannonndashWeaver diversity index as described in [23] is givenas

1198671015840 = minus119899

sum119894=1

119901119894log119890(119901119894) (1)

where pi is the proportion of accessions in the 119894th class of ann-class character and n is the number of phenotypic classesof traits Each 1198671015840 value was divided by its maximum value(logen) and normalized in order to keep the values between0 and 1 By pooling various characters across the regions theadditive properties of 1198671015840 were used to evaluate diversity ofregions and characters within the population The averagediversity index (H1015840) over n traits was estimated as H1015840 =sumH1015840n

3 Results and Discussion

31 Collection of Sugarcane Germplasm In Ethiopia thehistory of sugarcane cultivation by smallholder farmers pre-ceded that of commercial cultivation As documented in thehistory of a monastery in Northern Ethiopia sugarcane hasbeen grown in the country since the 16th century [2] In thisstudy local sugarcane germplasm exploration and collectionwere conducted all across Ethiopia in the regional statesMore than 300 local sugarcane genotypes were collectedduring 20102011 and passport data of the genotypes ispresented in Supplemental Table 1 The collected germplasmwere planted at five locations across the country with respectto their collection area These are Wondogenet AgriculturalResearchCenter JimmaAgricultural ResearchCenterMechaWereda Agricultural Bureau nursery field at Picolo AbaySirinka Agricultural Research Center (at Kobo Subcenter)and research field of Haramaya University at Diredawa(Tonny Farm) The clones have been monitored during the201112 season for symptoms of major diseases and insectsThese clones were transferred to commercial sugarcane plan-tation estates at Wonji and Metehara for further selectionand maintenance No major diseases and insect pests weredetected in all the germplasm collected except sometimestermites and borer were observed (Supplemental Table 2)

Advances in Agriculture 5

Table 2 Mean soil physical and chemical properties of sugarcane fields in the surveyed regions

Regions Soil chemical properties Texture ()PH EC(dsm) OC N P (ppm) K(ppm) Sand Silt Clay

Amhara 719 0176 151 0130 1890 15982 21 25 54Benshangul-Gumz 673 0139 285 0178 345 9774 23 22 55Gambella 743 0168 192 0170 3149 45715 54 18 29Harari 791 0831 230 0207 1037 4450 6 36 58Oromia 716 0302 259 0236 1119 23770 27 22 51SNNPR 696 0115 185 0180 2919 47272 24 28 48Somali 836 0293 121 0070 322 11490 10 35 55Tigray 818 0209 149 0113 740 4545 32 33 35

Most of the sampled germplasm had acceptable levels of juicerefractometer readings (expressed in degree brix) relative tothe history of the ages of the samples (Supplemental Table 1)The number of harvestablesaleable cane stalks obtained inplant cane and ratoon crops and the number of harvestableratoon crops showed variation region to region and zone tozone and sometimes district (ldquoweredardquo)-wise There is alsovariation in maturity time of the clones both in plant caneand in ratoon crops (Supplemental Table 2)These are mainlydepending on the variety soil condition cultural practicesand climatic conditions

The genotypes collected from the respective zones inthe study regions were recorded by their local namesSometimes similar varieties bear different names at differentlocalities and vice versa Farmers mentioned a broad rangeof sugarcane landraces that had been grown in the areasand maintained for generations Some of the landraces werecommonly recognized by most farmers within and acrosszones of the respective regions whereas some were rarevarieties known only by few farmers The large number oflandraces observed during the current study demonstratesthe existence of diverse genetic resources of sugarcane inEthiopia The diversity could have evolved presumably due todiverse climatic conditions low input management systemshigh pests and disease pressure and continuous selectionby farmers Smallholder farmers face diverse environmentstresses and have multiple production objectives that affectselection of genotypes [24] There were no formally releasedimproved sugarcane varieties grown by farmers in the studyregions except in few places This was mainly observedin SNNPR at Wolayta and Kembata-Tembaro zones Thesevarieties have been informally introduced to these areas byseasonal workers employed at the sugar estates especially atWonji and Metehara

The collected landraces would serve to broaden thegenetic base of the available sugarcane germplasm Thesugar industry in Ethiopia is currently establishing sugarcanebreeding programTherefore collection and efficient charac-terization of germplasm are vital to strengthen the breedingprogram

311 Physical and Chemical Properties of Soils of Sugar-cane Germplasm Collection Areas Table 2 summarizes thephysical and chemical properties of soils in the sugarcane

production fields of surveyed areas Sugarcane productionby smallholder farmers in the surveyed areas is conductedacross the seasons where harvesting and planting are done aslong as there is available moisture Therefore the soil samplesrepresent the sugarcane production season and the altitudinalranges of the respective areas

Generally the organic carbon content of soils in sugarcaneproducing areas across the country is low to very low (2-4lt2) Amhara Gambella SNNP Somali and Tigray Regionsare in a very low category (lt2) Similarly across regions thetotal N content is low except Harari and Oromia regionswhere the average total N is medium This problem shouldbe addressed either with augmenting the soil with inorganicfertilizers or through appropriate management practices likecrop residue management Available phosphorus is high inAmhara Gambella and SNNP Regions whereas moderatevalues were observed in Harari Oromia and Tigray RegionsGenerally the level of phosphorus in soils of sugarcaneproducing areas in these regions is adequate In Benshangul-Gumz and Somali Regions low level of phosphorus wasrecorded which should be addressed with due attentionAvailable K is sufficient for normal sugarcane growth in soilsof all regions Relatively lower values of K were recorded insoils of Harari and Tigray Regions It should be noted thatorganic carbon EC PH and variability of P andK are affectedby rainfall and temperature that are seasonal and the valuesrecorded refer to the seasonwhen the soil samples were takenGenerally Ethiopian soils are deficient in various essentialnutrients like boron nitrogen phosphorus potassium sulfurzinc and copper although severity differs from region toregion [25] Particularly the loss of P and N resulting fromthe use of dung and crop residues for fuel is demonstrated tobe equivalent to the total amount of commercial fertilizer use

Across regions in Ethiopia generally clay type of soildominates followed by silt except in Gambella Region wherethe dominant soil texture was sand Soil management optionsrelated to clay soil may address soil related problems insmallholder sugarcane growing areas across Ethiopia

32 Diversity of Sugarcane Landraces

321 Quantitative Characters

Univariate Statistics Analysis of variance depicted highlysignificant differences (p lt 001) between accessions pooled

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 2: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

2 Advances in Agriculture

by the leading sugar producer Brazil with a total amount of353 million tons produced in 201617 [1] Similarly Brazilianethanol production reached 3023 billion litres in 201516

Though commercial sugarcane production has a historyof six decades sugarcane had been cultivated in Ethiopiasince 16th century According to the report by central statisticsagency (CSA) currently sugarcane is produced in about3123681ha with 156506000 holdings in different parts ofthe country [2] But the production is not usually usedfor industrial purposes It is noticeably used for makingconfectioneries household consumption (chewing) sellingfor immediate cash and feeding livestock In some areassugarcane is used to prepare local beverage called ldquoKaribordquomainly preferred byMuslim communities while in others theleaves are used for thatching and as firewood [3] Howeverthe potential of this sector is not well explored and has notbeen given due consideration Furthermore no explorationand germplasm collection have been done to represent andpreserve local landraces

The sugar industry of Ethiopia is so far dependent onintroduction of exotic varietieswhich are not suitably adaptedto various agroecologies and local growing conditions Inlight of the rapidly increasing commercial sugarcane planta-tion areas in the country the demand for improved varietiesthat suit various agroecologies is increasing Under suchsituations there will be a continuous demand for broadgenetic base sugarcane varieties that are high yielding andstable under abiotic and biotic stressesTherefore the industryis currently launching breeding program which is long over-due to produce its own improved varieties The developmentof high yielding and stable varieties requires a continuoussupply of new germplasm as a source of desirable genesandor gene complexes The primary sources of such genesare landraces introductions weedy and wild relatives of cropplants [4 5] The availability of such germplasm requiresthe identification of areas of diversity of various charactersof agronomic importance especially in the local landracesgrowing within the variable agroecologies of Ethiopia There-fore germplasm collection and conservation and the studyof genetic diversity of Ethiopian sugarcane landraces areworthwhile since this can broaden the genetic base andprovide locally adapted genes for improvement of the crop

In spite of the great importance of Ethiopian sugarcanelandraces for the germplasm genetic base improvement andutilization in the breeding program no effort has beenmade so far to collect and preserve this genetic wealthFurthermore study of the variation and assessment of extentand geographical pattern of distribution of this landracesis lacking For effective utilization of germplasm in plantbreeding programmes the information on the extent andpatterns of distribution of genetic variation of a crop species isvery essential [6ndash8]This also canhelp in devising appropriatesampling procedures for germplasm collection and conser-vation and obtaining core collection for efficient germplasmmanagement [9 10]

The objectives of this study were to collect sugarcanelandraces in Ethiopia and to assess phenotypic diversity andanalyze regional distribution among landraces collected fromdifferent geographical areas

2 Materials and Methods

21 Germplasm Collection

211 Sampling Technique Sugarcane germplasm were col-lected during 201011 all across Ethiopia in the regionalstates of Amhara (07102010-09052011) Oromia (26082010-08072011) Southern Nations Nationalities andPeoples Region (SNNPR) (10082010-09122010) Tigray(21042011-09052011) Benshangul-Gumz (20122010-15022011) Gambella (04112010-28112010) Somali (29062011-26072011) and Harari (02062011-23062011)(Figure 1 Supplemental Table 1) Collection was made fromhomesteads farmersrsquo fields and local markets Germplasmwas collected using stratified random sampling techniquesampling areas are shown in Figure 1 In each region all zoneswere sampled Two to four districts (locally referred to asldquoWeredasrdquo) were selected from each zone From each district(depending on size a district contains several localities orsubdistricts) 2-5 subdistricts (locally referred as ldquoKebelesrdquo)or peasant associations (PAs) were selected The districts andsubdistricts were selected based on long agricultural historyand relatively wide areas allocated to sugarcane productionMoreover purposive sampling was also employed based oninformation supplied by key informants on the unique andquality sugarcane types grown in these areas In the selectedsubdistricts sugarcane clones were collected following themethods proposed in [11] Each distinct morphotype in avillage was randomly sampled Information on the sampledsugarcane germplasm was recorded and passport data wascollected following the method of Bioversity International[12] Moreover juice sample was taken from the bottommiddle and top part of the stalk of each clone and meanpercent brix reading was recorded using hand refrac-tometer

212Determination of the Physical andChemical Properties ofSoils in SugarcaneGermplasmCollectionAreas Todeterminethe predominant physical and chemical properties and thefertility status of soils under sugarcane production sampleswere collected and analyzed across germplasm collectionareas Georeferencing (latitude and longitude) of the studysites were made with a Garmin GPS In every germplasmsampling area a composite soil sample was taken between0ndash30 and 30ndash60 cm depths Soil samples were analyzed fororganic carbon total nitrogen (N) soil pH soil electricalconductivity (EC) available phosphorus (P) and availablepotassium (K) contents using standard procedures [13] SoilpH was measured potentiometrically using a digital pHmeter (Jenway Model-3320 GransmoreGeeen) Soil EC wasmeasured using digital conductivity meter (Jenway Model-4310 GransmoreGeeen) Organic carbon was determinedfollowing the wet digestion method described in [14] Total Nwas determined using the Kjeldahal procedure [13] Availablephosphorus was determined using the Olsen method [15]and Bray II method [16] for acidic soils Available K wasmeasured by flame photometry using the sodium acetateextractant method at pH 48 [17] Soil texture was determinedby hydrometer method [17]

Advances in Agriculture 3

1700000

1500000

1300000

1100000

900000

700000

500000

300000

1700000

1500000

1300000

1100000

900000

700000

500000

300000

minus300000 100000 500000 900000 1300000 1700000

minus300000 100000 500000 900000 1300000 1700000

Sampling Site Location Map

Figure 1 A map of Ethiopia showing sugarcane germplasm collection sites (black circles)

Table 1 Location information of the test sites

Location Latitude Longitude Altitude (masl)119886 Rainfall (mm) Temperature (∘C)Minimum Maximum

Wonji 8∘311015840 N 39∘121015840 E 1550 800 153∘C 269∘CMetehara 8∘511015840 N 39∘ 521015840 E 950 554 175∘C 326∘C119886masl = meters above sea levelSource meteorological Stations of respective locations

22 Diversity Study

221 Plant Materials A total of 211 sugarcane (Saccharumspp) accessions consisting of 196 landraces (SupplementalTable 3) and 15 introduced commercial varieties including2 standard varieties (Supplemental Table 4) were used forthis study The landraces represent collections from allgeographical regions across Ethiopia maintained at fieldconservation garden at Wonji and Metehara Sugar EstatesSugar Corporation of Ethiopia Sampling of the landraces wasmade on representation basis stratified systematic samplingmethod to a given range of geographic area altitudinalranges and a range of morphological traits The introducedmaterials were commercial varieties under production indifferent estates where the two were standard varieties

The 196 landraces were collections from the followingregions of Ethiopia Amhara (47) Benshangul-Gumz (10)Gambella (3) Harari (2) Oromiya (65) SNNPR (59) Somali(3) and Tigray (7) (Figure 1) The altitude of the collectionsites for the landraces used in this study ranged from 454to 2687 meters above sea level representing the distributionof the crop in Ethiopia The introduced materials were fromBarbados (6) Cuba (1) India (5) Mexico (1) and SouthAfrica (2)

222Methods The plant materials were grown at Wonji andMetehara Sugar Estates of Sugar Corporation of Ethiopiaduring the 201213 growing season Details of the plantinglocations are shown in Table 1 Each accession was grown ina single row plot of 5m long and 145m between rows and20 cm between plants within a row with two replications inrandomized complete block design

Uniform crop management practices were applied asrecommended for the areas Urea was applied 25 monthsafter planting at a rate of 200 kgsdothaminus1 atWonji and 400 kgsdothaminus1at Metehara

Accessions from regions with sample size less than 12were included in adjacent regions to reduce experimentalerror due to small sample size Hence the two Harari andthree Somali accessions were included in Tigray and thethree Gambella accessions were included in Benshangul-GumzThis reduced the 8 regions of Ethiopia fromwhich thelandraces were originally drawn to five With the introducedmaterials included 6 regions of origin were used in thestatistical analyses

Data on 17 quantitative stalk characters was recordednamely sprout count 1 and 2 months after planting(SPC1MAP and SPC2MAP) tiller counts 4 and 5month afterplanting (TC4MAP and TC5MAP) stalk count 10 months

4 Advances in Agriculture

after planting (STC10MAP) hand refractometer brix reading10 months after planting (HRBrix10MAP) millable stalkcount per hectare (MSCHA) single cane weight (SCW)number of internode (NOI) internode length (IL) stalkheight (SH) stalk diameter (SD) leaf length (LL) leaf width(LW) leaf area (LA) cane yield quintal per hectare (CYHA)and sugar yield quintal per hectare (SY) Data on 4 juicequality parameters ie brix percent (Brix) pol percent(pol ) purity percent (purity ) and sugar percent (SR) was also recorded For every accession ten plants wereused for recording data for quantitative characters whichwere recorded on plot basis Count data and cane yield wererecorded considering all cane stalks from the whole plot Forquantitative leaf characteristics measurement a proceduredeveloped in [18] was used

To categorize each accession morphologically sugarcanedescriptors adopted fromUSDA-ARSwere employed (GRIN2004) Data on 16 qualitative traits was recorded namelypresence or absence of bud cushion (BUDCUSHION) rel-ative degree of bud extension (BUDEXTEND) relative budshape (BUDSHAPE) relative shape of dewlap (DEWLAP-SHAP) type of outer auricle (AURICLEOUT) presence orabsence of stalk corky cracks (STALKCORKC) presenceor absence of stalk corky patches (STALKCORKP) relativeshape of ligule (LIGSHAPE) presence or absence of stalkgrowth cracks (STALKCRACK) presence or absence of budgroove (BUDGROOVE) relative plant erectness (ERECT)relative degree of internode alignment (INALIGN) relativeinternode shape (INSHAPE) colour of the leaves (LEAF-COLOR) colour of the exposed rind (RINDCOLE) andcanopy structure (CANOPY) Each accession was scored forthe most frequent character-state Leaf colour and colourof the exposed rind were examined and scored using theMunsell colour chart [19]

223 Statistical Analyses First analysis of variance wasmadefor the 21 characters for each location Homogeneity ofthe error variances among the locations was assessed in[20] F-max method for each of the 21 characters The testestablished the homogeneity of the error variances for allcharacters except TC4MAP For TC4MAP logarithmic datatransformation which is recommendable for continuousdata was used to homogenize the error variance Thendata of all the characters were subjected to test location-accession-related analysis of variance to determine effects oftest sites and genotype X environment (G X E) interactionThe results showed the nonsignificance of effects of testsites for SPC1MAP IL LW Pol sugar percent (SR) andthe nonsignificance of G X E interactions for SPC2MAPSCW Brix Pol and Brix10MAP For the other charactersboth test site effects and G X E interactions were significant(Plt005)

Analysis of variance was made for 21 quantitative char-acters following the procedure used in [21 22] The meansquares of the regions were tested against pooled meansquares of accessions within regions The pooled meanssquares for accessions within regions of origin and the meansquares of accessions within each region were tested against

the pooled within-region error mean squares Means rangesfor means and percent coefficients of variation for all thecharacters were computed for each region of origin and forthe entire data The regional means were compared usingDuncanrsquos multiple range testing Correlations between thecharacters were computed at three levels First correlationsof the characters were assessed based on the 211 accessionmeans Then interregion correlation was computed usingthe means of characters for each region Finally a series ofintraregion correlation coefficient matrices were obtained foreach region using the accession means from that region forthe characters

For qualitative characters phenotypic frequency distri-butions were worked out for all the sample germplasm andlocations The ShannonndashWeaver diversity index (H1015840) wascomputed using the phenotypic frequencies to assess thephenotypic diversity for each character for all accessions TheShannonndashWeaver diversity index as described in [23] is givenas

1198671015840 = minus119899

sum119894=1

119901119894log119890(119901119894) (1)

where pi is the proportion of accessions in the 119894th class of ann-class character and n is the number of phenotypic classesof traits Each 1198671015840 value was divided by its maximum value(logen) and normalized in order to keep the values between0 and 1 By pooling various characters across the regions theadditive properties of 1198671015840 were used to evaluate diversity ofregions and characters within the population The averagediversity index (H1015840) over n traits was estimated as H1015840 =sumH1015840n

3 Results and Discussion

31 Collection of Sugarcane Germplasm In Ethiopia thehistory of sugarcane cultivation by smallholder farmers pre-ceded that of commercial cultivation As documented in thehistory of a monastery in Northern Ethiopia sugarcane hasbeen grown in the country since the 16th century [2] In thisstudy local sugarcane germplasm exploration and collectionwere conducted all across Ethiopia in the regional statesMore than 300 local sugarcane genotypes were collectedduring 20102011 and passport data of the genotypes ispresented in Supplemental Table 1 The collected germplasmwere planted at five locations across the country with respectto their collection area These are Wondogenet AgriculturalResearchCenter JimmaAgricultural ResearchCenterMechaWereda Agricultural Bureau nursery field at Picolo AbaySirinka Agricultural Research Center (at Kobo Subcenter)and research field of Haramaya University at Diredawa(Tonny Farm) The clones have been monitored during the201112 season for symptoms of major diseases and insectsThese clones were transferred to commercial sugarcane plan-tation estates at Wonji and Metehara for further selectionand maintenance No major diseases and insect pests weredetected in all the germplasm collected except sometimestermites and borer were observed (Supplemental Table 2)

Advances in Agriculture 5

Table 2 Mean soil physical and chemical properties of sugarcane fields in the surveyed regions

Regions Soil chemical properties Texture ()PH EC(dsm) OC N P (ppm) K(ppm) Sand Silt Clay

Amhara 719 0176 151 0130 1890 15982 21 25 54Benshangul-Gumz 673 0139 285 0178 345 9774 23 22 55Gambella 743 0168 192 0170 3149 45715 54 18 29Harari 791 0831 230 0207 1037 4450 6 36 58Oromia 716 0302 259 0236 1119 23770 27 22 51SNNPR 696 0115 185 0180 2919 47272 24 28 48Somali 836 0293 121 0070 322 11490 10 35 55Tigray 818 0209 149 0113 740 4545 32 33 35

Most of the sampled germplasm had acceptable levels of juicerefractometer readings (expressed in degree brix) relative tothe history of the ages of the samples (Supplemental Table 1)The number of harvestablesaleable cane stalks obtained inplant cane and ratoon crops and the number of harvestableratoon crops showed variation region to region and zone tozone and sometimes district (ldquoweredardquo)-wise There is alsovariation in maturity time of the clones both in plant caneand in ratoon crops (Supplemental Table 2)These are mainlydepending on the variety soil condition cultural practicesand climatic conditions

The genotypes collected from the respective zones inthe study regions were recorded by their local namesSometimes similar varieties bear different names at differentlocalities and vice versa Farmers mentioned a broad rangeof sugarcane landraces that had been grown in the areasand maintained for generations Some of the landraces werecommonly recognized by most farmers within and acrosszones of the respective regions whereas some were rarevarieties known only by few farmers The large number oflandraces observed during the current study demonstratesthe existence of diverse genetic resources of sugarcane inEthiopia The diversity could have evolved presumably due todiverse climatic conditions low input management systemshigh pests and disease pressure and continuous selectionby farmers Smallholder farmers face diverse environmentstresses and have multiple production objectives that affectselection of genotypes [24] There were no formally releasedimproved sugarcane varieties grown by farmers in the studyregions except in few places This was mainly observedin SNNPR at Wolayta and Kembata-Tembaro zones Thesevarieties have been informally introduced to these areas byseasonal workers employed at the sugar estates especially atWonji and Metehara

The collected landraces would serve to broaden thegenetic base of the available sugarcane germplasm Thesugar industry in Ethiopia is currently establishing sugarcanebreeding programTherefore collection and efficient charac-terization of germplasm are vital to strengthen the breedingprogram

311 Physical and Chemical Properties of Soils of Sugar-cane Germplasm Collection Areas Table 2 summarizes thephysical and chemical properties of soils in the sugarcane

production fields of surveyed areas Sugarcane productionby smallholder farmers in the surveyed areas is conductedacross the seasons where harvesting and planting are done aslong as there is available moisture Therefore the soil samplesrepresent the sugarcane production season and the altitudinalranges of the respective areas

Generally the organic carbon content of soils in sugarcaneproducing areas across the country is low to very low (2-4lt2) Amhara Gambella SNNP Somali and Tigray Regionsare in a very low category (lt2) Similarly across regions thetotal N content is low except Harari and Oromia regionswhere the average total N is medium This problem shouldbe addressed either with augmenting the soil with inorganicfertilizers or through appropriate management practices likecrop residue management Available phosphorus is high inAmhara Gambella and SNNP Regions whereas moderatevalues were observed in Harari Oromia and Tigray RegionsGenerally the level of phosphorus in soils of sugarcaneproducing areas in these regions is adequate In Benshangul-Gumz and Somali Regions low level of phosphorus wasrecorded which should be addressed with due attentionAvailable K is sufficient for normal sugarcane growth in soilsof all regions Relatively lower values of K were recorded insoils of Harari and Tigray Regions It should be noted thatorganic carbon EC PH and variability of P andK are affectedby rainfall and temperature that are seasonal and the valuesrecorded refer to the seasonwhen the soil samples were takenGenerally Ethiopian soils are deficient in various essentialnutrients like boron nitrogen phosphorus potassium sulfurzinc and copper although severity differs from region toregion [25] Particularly the loss of P and N resulting fromthe use of dung and crop residues for fuel is demonstrated tobe equivalent to the total amount of commercial fertilizer use

Across regions in Ethiopia generally clay type of soildominates followed by silt except in Gambella Region wherethe dominant soil texture was sand Soil management optionsrelated to clay soil may address soil related problems insmallholder sugarcane growing areas across Ethiopia

32 Diversity of Sugarcane Landraces

321 Quantitative Characters

Univariate Statistics Analysis of variance depicted highlysignificant differences (p lt 001) between accessions pooled

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Submit your manuscripts atwwwhindawicom

Page 3: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 3

1700000

1500000

1300000

1100000

900000

700000

500000

300000

1700000

1500000

1300000

1100000

900000

700000

500000

300000

minus300000 100000 500000 900000 1300000 1700000

minus300000 100000 500000 900000 1300000 1700000

Sampling Site Location Map

Figure 1 A map of Ethiopia showing sugarcane germplasm collection sites (black circles)

Table 1 Location information of the test sites

Location Latitude Longitude Altitude (masl)119886 Rainfall (mm) Temperature (∘C)Minimum Maximum

Wonji 8∘311015840 N 39∘121015840 E 1550 800 153∘C 269∘CMetehara 8∘511015840 N 39∘ 521015840 E 950 554 175∘C 326∘C119886masl = meters above sea levelSource meteorological Stations of respective locations

22 Diversity Study

221 Plant Materials A total of 211 sugarcane (Saccharumspp) accessions consisting of 196 landraces (SupplementalTable 3) and 15 introduced commercial varieties including2 standard varieties (Supplemental Table 4) were used forthis study The landraces represent collections from allgeographical regions across Ethiopia maintained at fieldconservation garden at Wonji and Metehara Sugar EstatesSugar Corporation of Ethiopia Sampling of the landraces wasmade on representation basis stratified systematic samplingmethod to a given range of geographic area altitudinalranges and a range of morphological traits The introducedmaterials were commercial varieties under production indifferent estates where the two were standard varieties

The 196 landraces were collections from the followingregions of Ethiopia Amhara (47) Benshangul-Gumz (10)Gambella (3) Harari (2) Oromiya (65) SNNPR (59) Somali(3) and Tigray (7) (Figure 1) The altitude of the collectionsites for the landraces used in this study ranged from 454to 2687 meters above sea level representing the distributionof the crop in Ethiopia The introduced materials were fromBarbados (6) Cuba (1) India (5) Mexico (1) and SouthAfrica (2)

222Methods The plant materials were grown at Wonji andMetehara Sugar Estates of Sugar Corporation of Ethiopiaduring the 201213 growing season Details of the plantinglocations are shown in Table 1 Each accession was grown ina single row plot of 5m long and 145m between rows and20 cm between plants within a row with two replications inrandomized complete block design

Uniform crop management practices were applied asrecommended for the areas Urea was applied 25 monthsafter planting at a rate of 200 kgsdothaminus1 atWonji and 400 kgsdothaminus1at Metehara

Accessions from regions with sample size less than 12were included in adjacent regions to reduce experimentalerror due to small sample size Hence the two Harari andthree Somali accessions were included in Tigray and thethree Gambella accessions were included in Benshangul-GumzThis reduced the 8 regions of Ethiopia fromwhich thelandraces were originally drawn to five With the introducedmaterials included 6 regions of origin were used in thestatistical analyses

Data on 17 quantitative stalk characters was recordednamely sprout count 1 and 2 months after planting(SPC1MAP and SPC2MAP) tiller counts 4 and 5month afterplanting (TC4MAP and TC5MAP) stalk count 10 months

4 Advances in Agriculture

after planting (STC10MAP) hand refractometer brix reading10 months after planting (HRBrix10MAP) millable stalkcount per hectare (MSCHA) single cane weight (SCW)number of internode (NOI) internode length (IL) stalkheight (SH) stalk diameter (SD) leaf length (LL) leaf width(LW) leaf area (LA) cane yield quintal per hectare (CYHA)and sugar yield quintal per hectare (SY) Data on 4 juicequality parameters ie brix percent (Brix) pol percent(pol ) purity percent (purity ) and sugar percent (SR) was also recorded For every accession ten plants wereused for recording data for quantitative characters whichwere recorded on plot basis Count data and cane yield wererecorded considering all cane stalks from the whole plot Forquantitative leaf characteristics measurement a proceduredeveloped in [18] was used

To categorize each accession morphologically sugarcanedescriptors adopted fromUSDA-ARSwere employed (GRIN2004) Data on 16 qualitative traits was recorded namelypresence or absence of bud cushion (BUDCUSHION) rel-ative degree of bud extension (BUDEXTEND) relative budshape (BUDSHAPE) relative shape of dewlap (DEWLAP-SHAP) type of outer auricle (AURICLEOUT) presence orabsence of stalk corky cracks (STALKCORKC) presenceor absence of stalk corky patches (STALKCORKP) relativeshape of ligule (LIGSHAPE) presence or absence of stalkgrowth cracks (STALKCRACK) presence or absence of budgroove (BUDGROOVE) relative plant erectness (ERECT)relative degree of internode alignment (INALIGN) relativeinternode shape (INSHAPE) colour of the leaves (LEAF-COLOR) colour of the exposed rind (RINDCOLE) andcanopy structure (CANOPY) Each accession was scored forthe most frequent character-state Leaf colour and colourof the exposed rind were examined and scored using theMunsell colour chart [19]

223 Statistical Analyses First analysis of variance wasmadefor the 21 characters for each location Homogeneity ofthe error variances among the locations was assessed in[20] F-max method for each of the 21 characters The testestablished the homogeneity of the error variances for allcharacters except TC4MAP For TC4MAP logarithmic datatransformation which is recommendable for continuousdata was used to homogenize the error variance Thendata of all the characters were subjected to test location-accession-related analysis of variance to determine effects oftest sites and genotype X environment (G X E) interactionThe results showed the nonsignificance of effects of testsites for SPC1MAP IL LW Pol sugar percent (SR) andthe nonsignificance of G X E interactions for SPC2MAPSCW Brix Pol and Brix10MAP For the other charactersboth test site effects and G X E interactions were significant(Plt005)

Analysis of variance was made for 21 quantitative char-acters following the procedure used in [21 22] The meansquares of the regions were tested against pooled meansquares of accessions within regions The pooled meanssquares for accessions within regions of origin and the meansquares of accessions within each region were tested against

the pooled within-region error mean squares Means rangesfor means and percent coefficients of variation for all thecharacters were computed for each region of origin and forthe entire data The regional means were compared usingDuncanrsquos multiple range testing Correlations between thecharacters were computed at three levels First correlationsof the characters were assessed based on the 211 accessionmeans Then interregion correlation was computed usingthe means of characters for each region Finally a series ofintraregion correlation coefficient matrices were obtained foreach region using the accession means from that region forthe characters

For qualitative characters phenotypic frequency distri-butions were worked out for all the sample germplasm andlocations The ShannonndashWeaver diversity index (H1015840) wascomputed using the phenotypic frequencies to assess thephenotypic diversity for each character for all accessions TheShannonndashWeaver diversity index as described in [23] is givenas

1198671015840 = minus119899

sum119894=1

119901119894log119890(119901119894) (1)

where pi is the proportion of accessions in the 119894th class of ann-class character and n is the number of phenotypic classesof traits Each 1198671015840 value was divided by its maximum value(logen) and normalized in order to keep the values between0 and 1 By pooling various characters across the regions theadditive properties of 1198671015840 were used to evaluate diversity ofregions and characters within the population The averagediversity index (H1015840) over n traits was estimated as H1015840 =sumH1015840n

3 Results and Discussion

31 Collection of Sugarcane Germplasm In Ethiopia thehistory of sugarcane cultivation by smallholder farmers pre-ceded that of commercial cultivation As documented in thehistory of a monastery in Northern Ethiopia sugarcane hasbeen grown in the country since the 16th century [2] In thisstudy local sugarcane germplasm exploration and collectionwere conducted all across Ethiopia in the regional statesMore than 300 local sugarcane genotypes were collectedduring 20102011 and passport data of the genotypes ispresented in Supplemental Table 1 The collected germplasmwere planted at five locations across the country with respectto their collection area These are Wondogenet AgriculturalResearchCenter JimmaAgricultural ResearchCenterMechaWereda Agricultural Bureau nursery field at Picolo AbaySirinka Agricultural Research Center (at Kobo Subcenter)and research field of Haramaya University at Diredawa(Tonny Farm) The clones have been monitored during the201112 season for symptoms of major diseases and insectsThese clones were transferred to commercial sugarcane plan-tation estates at Wonji and Metehara for further selectionand maintenance No major diseases and insect pests weredetected in all the germplasm collected except sometimestermites and borer were observed (Supplemental Table 2)

Advances in Agriculture 5

Table 2 Mean soil physical and chemical properties of sugarcane fields in the surveyed regions

Regions Soil chemical properties Texture ()PH EC(dsm) OC N P (ppm) K(ppm) Sand Silt Clay

Amhara 719 0176 151 0130 1890 15982 21 25 54Benshangul-Gumz 673 0139 285 0178 345 9774 23 22 55Gambella 743 0168 192 0170 3149 45715 54 18 29Harari 791 0831 230 0207 1037 4450 6 36 58Oromia 716 0302 259 0236 1119 23770 27 22 51SNNPR 696 0115 185 0180 2919 47272 24 28 48Somali 836 0293 121 0070 322 11490 10 35 55Tigray 818 0209 149 0113 740 4545 32 33 35

Most of the sampled germplasm had acceptable levels of juicerefractometer readings (expressed in degree brix) relative tothe history of the ages of the samples (Supplemental Table 1)The number of harvestablesaleable cane stalks obtained inplant cane and ratoon crops and the number of harvestableratoon crops showed variation region to region and zone tozone and sometimes district (ldquoweredardquo)-wise There is alsovariation in maturity time of the clones both in plant caneand in ratoon crops (Supplemental Table 2)These are mainlydepending on the variety soil condition cultural practicesand climatic conditions

The genotypes collected from the respective zones inthe study regions were recorded by their local namesSometimes similar varieties bear different names at differentlocalities and vice versa Farmers mentioned a broad rangeof sugarcane landraces that had been grown in the areasand maintained for generations Some of the landraces werecommonly recognized by most farmers within and acrosszones of the respective regions whereas some were rarevarieties known only by few farmers The large number oflandraces observed during the current study demonstratesthe existence of diverse genetic resources of sugarcane inEthiopia The diversity could have evolved presumably due todiverse climatic conditions low input management systemshigh pests and disease pressure and continuous selectionby farmers Smallholder farmers face diverse environmentstresses and have multiple production objectives that affectselection of genotypes [24] There were no formally releasedimproved sugarcane varieties grown by farmers in the studyregions except in few places This was mainly observedin SNNPR at Wolayta and Kembata-Tembaro zones Thesevarieties have been informally introduced to these areas byseasonal workers employed at the sugar estates especially atWonji and Metehara

The collected landraces would serve to broaden thegenetic base of the available sugarcane germplasm Thesugar industry in Ethiopia is currently establishing sugarcanebreeding programTherefore collection and efficient charac-terization of germplasm are vital to strengthen the breedingprogram

311 Physical and Chemical Properties of Soils of Sugar-cane Germplasm Collection Areas Table 2 summarizes thephysical and chemical properties of soils in the sugarcane

production fields of surveyed areas Sugarcane productionby smallholder farmers in the surveyed areas is conductedacross the seasons where harvesting and planting are done aslong as there is available moisture Therefore the soil samplesrepresent the sugarcane production season and the altitudinalranges of the respective areas

Generally the organic carbon content of soils in sugarcaneproducing areas across the country is low to very low (2-4lt2) Amhara Gambella SNNP Somali and Tigray Regionsare in a very low category (lt2) Similarly across regions thetotal N content is low except Harari and Oromia regionswhere the average total N is medium This problem shouldbe addressed either with augmenting the soil with inorganicfertilizers or through appropriate management practices likecrop residue management Available phosphorus is high inAmhara Gambella and SNNP Regions whereas moderatevalues were observed in Harari Oromia and Tigray RegionsGenerally the level of phosphorus in soils of sugarcaneproducing areas in these regions is adequate In Benshangul-Gumz and Somali Regions low level of phosphorus wasrecorded which should be addressed with due attentionAvailable K is sufficient for normal sugarcane growth in soilsof all regions Relatively lower values of K were recorded insoils of Harari and Tigray Regions It should be noted thatorganic carbon EC PH and variability of P andK are affectedby rainfall and temperature that are seasonal and the valuesrecorded refer to the seasonwhen the soil samples were takenGenerally Ethiopian soils are deficient in various essentialnutrients like boron nitrogen phosphorus potassium sulfurzinc and copper although severity differs from region toregion [25] Particularly the loss of P and N resulting fromthe use of dung and crop residues for fuel is demonstrated tobe equivalent to the total amount of commercial fertilizer use

Across regions in Ethiopia generally clay type of soildominates followed by silt except in Gambella Region wherethe dominant soil texture was sand Soil management optionsrelated to clay soil may address soil related problems insmallholder sugarcane growing areas across Ethiopia

32 Diversity of Sugarcane Landraces

321 Quantitative Characters

Univariate Statistics Analysis of variance depicted highlysignificant differences (p lt 001) between accessions pooled

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 4: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

4 Advances in Agriculture

after planting (STC10MAP) hand refractometer brix reading10 months after planting (HRBrix10MAP) millable stalkcount per hectare (MSCHA) single cane weight (SCW)number of internode (NOI) internode length (IL) stalkheight (SH) stalk diameter (SD) leaf length (LL) leaf width(LW) leaf area (LA) cane yield quintal per hectare (CYHA)and sugar yield quintal per hectare (SY) Data on 4 juicequality parameters ie brix percent (Brix) pol percent(pol ) purity percent (purity ) and sugar percent (SR) was also recorded For every accession ten plants wereused for recording data for quantitative characters whichwere recorded on plot basis Count data and cane yield wererecorded considering all cane stalks from the whole plot Forquantitative leaf characteristics measurement a proceduredeveloped in [18] was used

To categorize each accession morphologically sugarcanedescriptors adopted fromUSDA-ARSwere employed (GRIN2004) Data on 16 qualitative traits was recorded namelypresence or absence of bud cushion (BUDCUSHION) rel-ative degree of bud extension (BUDEXTEND) relative budshape (BUDSHAPE) relative shape of dewlap (DEWLAP-SHAP) type of outer auricle (AURICLEOUT) presence orabsence of stalk corky cracks (STALKCORKC) presenceor absence of stalk corky patches (STALKCORKP) relativeshape of ligule (LIGSHAPE) presence or absence of stalkgrowth cracks (STALKCRACK) presence or absence of budgroove (BUDGROOVE) relative plant erectness (ERECT)relative degree of internode alignment (INALIGN) relativeinternode shape (INSHAPE) colour of the leaves (LEAF-COLOR) colour of the exposed rind (RINDCOLE) andcanopy structure (CANOPY) Each accession was scored forthe most frequent character-state Leaf colour and colourof the exposed rind were examined and scored using theMunsell colour chart [19]

223 Statistical Analyses First analysis of variance wasmadefor the 21 characters for each location Homogeneity ofthe error variances among the locations was assessed in[20] F-max method for each of the 21 characters The testestablished the homogeneity of the error variances for allcharacters except TC4MAP For TC4MAP logarithmic datatransformation which is recommendable for continuousdata was used to homogenize the error variance Thendata of all the characters were subjected to test location-accession-related analysis of variance to determine effects oftest sites and genotype X environment (G X E) interactionThe results showed the nonsignificance of effects of testsites for SPC1MAP IL LW Pol sugar percent (SR) andthe nonsignificance of G X E interactions for SPC2MAPSCW Brix Pol and Brix10MAP For the other charactersboth test site effects and G X E interactions were significant(Plt005)

Analysis of variance was made for 21 quantitative char-acters following the procedure used in [21 22] The meansquares of the regions were tested against pooled meansquares of accessions within regions The pooled meanssquares for accessions within regions of origin and the meansquares of accessions within each region were tested against

the pooled within-region error mean squares Means rangesfor means and percent coefficients of variation for all thecharacters were computed for each region of origin and forthe entire data The regional means were compared usingDuncanrsquos multiple range testing Correlations between thecharacters were computed at three levels First correlationsof the characters were assessed based on the 211 accessionmeans Then interregion correlation was computed usingthe means of characters for each region Finally a series ofintraregion correlation coefficient matrices were obtained foreach region using the accession means from that region forthe characters

For qualitative characters phenotypic frequency distri-butions were worked out for all the sample germplasm andlocations The ShannonndashWeaver diversity index (H1015840) wascomputed using the phenotypic frequencies to assess thephenotypic diversity for each character for all accessions TheShannonndashWeaver diversity index as described in [23] is givenas

1198671015840 = minus119899

sum119894=1

119901119894log119890(119901119894) (1)

where pi is the proportion of accessions in the 119894th class of ann-class character and n is the number of phenotypic classesof traits Each 1198671015840 value was divided by its maximum value(logen) and normalized in order to keep the values between0 and 1 By pooling various characters across the regions theadditive properties of 1198671015840 were used to evaluate diversity ofregions and characters within the population The averagediversity index (H1015840) over n traits was estimated as H1015840 =sumH1015840n

3 Results and Discussion

31 Collection of Sugarcane Germplasm In Ethiopia thehistory of sugarcane cultivation by smallholder farmers pre-ceded that of commercial cultivation As documented in thehistory of a monastery in Northern Ethiopia sugarcane hasbeen grown in the country since the 16th century [2] In thisstudy local sugarcane germplasm exploration and collectionwere conducted all across Ethiopia in the regional statesMore than 300 local sugarcane genotypes were collectedduring 20102011 and passport data of the genotypes ispresented in Supplemental Table 1 The collected germplasmwere planted at five locations across the country with respectto their collection area These are Wondogenet AgriculturalResearchCenter JimmaAgricultural ResearchCenterMechaWereda Agricultural Bureau nursery field at Picolo AbaySirinka Agricultural Research Center (at Kobo Subcenter)and research field of Haramaya University at Diredawa(Tonny Farm) The clones have been monitored during the201112 season for symptoms of major diseases and insectsThese clones were transferred to commercial sugarcane plan-tation estates at Wonji and Metehara for further selectionand maintenance No major diseases and insect pests weredetected in all the germplasm collected except sometimestermites and borer were observed (Supplemental Table 2)

Advances in Agriculture 5

Table 2 Mean soil physical and chemical properties of sugarcane fields in the surveyed regions

Regions Soil chemical properties Texture ()PH EC(dsm) OC N P (ppm) K(ppm) Sand Silt Clay

Amhara 719 0176 151 0130 1890 15982 21 25 54Benshangul-Gumz 673 0139 285 0178 345 9774 23 22 55Gambella 743 0168 192 0170 3149 45715 54 18 29Harari 791 0831 230 0207 1037 4450 6 36 58Oromia 716 0302 259 0236 1119 23770 27 22 51SNNPR 696 0115 185 0180 2919 47272 24 28 48Somali 836 0293 121 0070 322 11490 10 35 55Tigray 818 0209 149 0113 740 4545 32 33 35

Most of the sampled germplasm had acceptable levels of juicerefractometer readings (expressed in degree brix) relative tothe history of the ages of the samples (Supplemental Table 1)The number of harvestablesaleable cane stalks obtained inplant cane and ratoon crops and the number of harvestableratoon crops showed variation region to region and zone tozone and sometimes district (ldquoweredardquo)-wise There is alsovariation in maturity time of the clones both in plant caneand in ratoon crops (Supplemental Table 2)These are mainlydepending on the variety soil condition cultural practicesand climatic conditions

The genotypes collected from the respective zones inthe study regions were recorded by their local namesSometimes similar varieties bear different names at differentlocalities and vice versa Farmers mentioned a broad rangeof sugarcane landraces that had been grown in the areasand maintained for generations Some of the landraces werecommonly recognized by most farmers within and acrosszones of the respective regions whereas some were rarevarieties known only by few farmers The large number oflandraces observed during the current study demonstratesthe existence of diverse genetic resources of sugarcane inEthiopia The diversity could have evolved presumably due todiverse climatic conditions low input management systemshigh pests and disease pressure and continuous selectionby farmers Smallholder farmers face diverse environmentstresses and have multiple production objectives that affectselection of genotypes [24] There were no formally releasedimproved sugarcane varieties grown by farmers in the studyregions except in few places This was mainly observedin SNNPR at Wolayta and Kembata-Tembaro zones Thesevarieties have been informally introduced to these areas byseasonal workers employed at the sugar estates especially atWonji and Metehara

The collected landraces would serve to broaden thegenetic base of the available sugarcane germplasm Thesugar industry in Ethiopia is currently establishing sugarcanebreeding programTherefore collection and efficient charac-terization of germplasm are vital to strengthen the breedingprogram

311 Physical and Chemical Properties of Soils of Sugar-cane Germplasm Collection Areas Table 2 summarizes thephysical and chemical properties of soils in the sugarcane

production fields of surveyed areas Sugarcane productionby smallholder farmers in the surveyed areas is conductedacross the seasons where harvesting and planting are done aslong as there is available moisture Therefore the soil samplesrepresent the sugarcane production season and the altitudinalranges of the respective areas

Generally the organic carbon content of soils in sugarcaneproducing areas across the country is low to very low (2-4lt2) Amhara Gambella SNNP Somali and Tigray Regionsare in a very low category (lt2) Similarly across regions thetotal N content is low except Harari and Oromia regionswhere the average total N is medium This problem shouldbe addressed either with augmenting the soil with inorganicfertilizers or through appropriate management practices likecrop residue management Available phosphorus is high inAmhara Gambella and SNNP Regions whereas moderatevalues were observed in Harari Oromia and Tigray RegionsGenerally the level of phosphorus in soils of sugarcaneproducing areas in these regions is adequate In Benshangul-Gumz and Somali Regions low level of phosphorus wasrecorded which should be addressed with due attentionAvailable K is sufficient for normal sugarcane growth in soilsof all regions Relatively lower values of K were recorded insoils of Harari and Tigray Regions It should be noted thatorganic carbon EC PH and variability of P andK are affectedby rainfall and temperature that are seasonal and the valuesrecorded refer to the seasonwhen the soil samples were takenGenerally Ethiopian soils are deficient in various essentialnutrients like boron nitrogen phosphorus potassium sulfurzinc and copper although severity differs from region toregion [25] Particularly the loss of P and N resulting fromthe use of dung and crop residues for fuel is demonstrated tobe equivalent to the total amount of commercial fertilizer use

Across regions in Ethiopia generally clay type of soildominates followed by silt except in Gambella Region wherethe dominant soil texture was sand Soil management optionsrelated to clay soil may address soil related problems insmallholder sugarcane growing areas across Ethiopia

32 Diversity of Sugarcane Landraces

321 Quantitative Characters

Univariate Statistics Analysis of variance depicted highlysignificant differences (p lt 001) between accessions pooled

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 5: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 5

Table 2 Mean soil physical and chemical properties of sugarcane fields in the surveyed regions

Regions Soil chemical properties Texture ()PH EC(dsm) OC N P (ppm) K(ppm) Sand Silt Clay

Amhara 719 0176 151 0130 1890 15982 21 25 54Benshangul-Gumz 673 0139 285 0178 345 9774 23 22 55Gambella 743 0168 192 0170 3149 45715 54 18 29Harari 791 0831 230 0207 1037 4450 6 36 58Oromia 716 0302 259 0236 1119 23770 27 22 51SNNPR 696 0115 185 0180 2919 47272 24 28 48Somali 836 0293 121 0070 322 11490 10 35 55Tigray 818 0209 149 0113 740 4545 32 33 35

Most of the sampled germplasm had acceptable levels of juicerefractometer readings (expressed in degree brix) relative tothe history of the ages of the samples (Supplemental Table 1)The number of harvestablesaleable cane stalks obtained inplant cane and ratoon crops and the number of harvestableratoon crops showed variation region to region and zone tozone and sometimes district (ldquoweredardquo)-wise There is alsovariation in maturity time of the clones both in plant caneand in ratoon crops (Supplemental Table 2)These are mainlydepending on the variety soil condition cultural practicesand climatic conditions

The genotypes collected from the respective zones inthe study regions were recorded by their local namesSometimes similar varieties bear different names at differentlocalities and vice versa Farmers mentioned a broad rangeof sugarcane landraces that had been grown in the areasand maintained for generations Some of the landraces werecommonly recognized by most farmers within and acrosszones of the respective regions whereas some were rarevarieties known only by few farmers The large number oflandraces observed during the current study demonstratesthe existence of diverse genetic resources of sugarcane inEthiopia The diversity could have evolved presumably due todiverse climatic conditions low input management systemshigh pests and disease pressure and continuous selectionby farmers Smallholder farmers face diverse environmentstresses and have multiple production objectives that affectselection of genotypes [24] There were no formally releasedimproved sugarcane varieties grown by farmers in the studyregions except in few places This was mainly observedin SNNPR at Wolayta and Kembata-Tembaro zones Thesevarieties have been informally introduced to these areas byseasonal workers employed at the sugar estates especially atWonji and Metehara

The collected landraces would serve to broaden thegenetic base of the available sugarcane germplasm Thesugar industry in Ethiopia is currently establishing sugarcanebreeding programTherefore collection and efficient charac-terization of germplasm are vital to strengthen the breedingprogram

311 Physical and Chemical Properties of Soils of Sugar-cane Germplasm Collection Areas Table 2 summarizes thephysical and chemical properties of soils in the sugarcane

production fields of surveyed areas Sugarcane productionby smallholder farmers in the surveyed areas is conductedacross the seasons where harvesting and planting are done aslong as there is available moisture Therefore the soil samplesrepresent the sugarcane production season and the altitudinalranges of the respective areas

Generally the organic carbon content of soils in sugarcaneproducing areas across the country is low to very low (2-4lt2) Amhara Gambella SNNP Somali and Tigray Regionsare in a very low category (lt2) Similarly across regions thetotal N content is low except Harari and Oromia regionswhere the average total N is medium This problem shouldbe addressed either with augmenting the soil with inorganicfertilizers or through appropriate management practices likecrop residue management Available phosphorus is high inAmhara Gambella and SNNP Regions whereas moderatevalues were observed in Harari Oromia and Tigray RegionsGenerally the level of phosphorus in soils of sugarcaneproducing areas in these regions is adequate In Benshangul-Gumz and Somali Regions low level of phosphorus wasrecorded which should be addressed with due attentionAvailable K is sufficient for normal sugarcane growth in soilsof all regions Relatively lower values of K were recorded insoils of Harari and Tigray Regions It should be noted thatorganic carbon EC PH and variability of P andK are affectedby rainfall and temperature that are seasonal and the valuesrecorded refer to the seasonwhen the soil samples were takenGenerally Ethiopian soils are deficient in various essentialnutrients like boron nitrogen phosphorus potassium sulfurzinc and copper although severity differs from region toregion [25] Particularly the loss of P and N resulting fromthe use of dung and crop residues for fuel is demonstrated tobe equivalent to the total amount of commercial fertilizer use

Across regions in Ethiopia generally clay type of soildominates followed by silt except in Gambella Region wherethe dominant soil texture was sand Soil management optionsrelated to clay soil may address soil related problems insmallholder sugarcane growing areas across Ethiopia

32 Diversity of Sugarcane Landraces

321 Quantitative Characters

Univariate Statistics Analysis of variance depicted highlysignificant differences (p lt 001) between accessions pooled

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 6: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

6 Advances in Agriculture

over the regions for the 21 characters of the 211 sugarcaneaccessions studied and significant difference for the 6 regionsof origin for 6 characters (Table 3) The results suggestedthe occurrence of significant phenotypic variation betweenthe accessions as a whole Significant variations of differentsugarcane stalk and juice quality characters was also reportedin similar studies conducted elsewhere [26 27] Region-wise partitioning of the variance indicated significant within-region differences (p lt 005) among the populations withinalmost all regions for the characters NOI IL SH SD LLLW LA Brix Pol Purity SR MSCHA SCW CYHAand SY for 8 characters within Tigray for TC4MAP andTC5MAP within Oromiya and SNNPR Brix10MAP showedno significant difference within all regions

In general within-region variation was greater for stalkdiameter single cane weight millable stalk count and caneand sugar yield than for other characters for all the regionsAssuming that a significant portion of the phenotypic vari-ation is genetic it would be possible to make selection forany of this group of characters within a particular regionIt was apparent that the variance between accessions pooledover regions was greater than between regions Therefore inorder to sample the variation effectively it would be necessaryto sample the variable populations from different localitiesin a region The study in [28] on genetic diversity amongmain land USA sugarcane cultivars showed high geneticdiversitywithin populations of different regions than betweenpopulations

Duncanrsquos multiple range testing for regional means for allthe characters is shown in Table 4 Relatively much differenti-ationwas observed for stemdiameter and juice purity percentcompared to other parameters Important yield componentslike MSCHA SCW SH and SD have shown higher valuesin Tigray SNNPR and Oromiya regions High cane andsugar yield were recorded for accessions in Tigray regionfollowed by SNNPR Oromiya and introduction which werestatistically at par Statistically similar lower values of caneand sugar yield were recorded in Amhara and Benshangulcollections

Higher value of sucrose percent in cane was also observedfor accessions from Tigray and the lowest value was inAmhara accessions while other regions were statisticallysimilar Generally for most of the characters high valuewas obtained from accessions in Tigray region followed bySNNPROromiya and introduction Therefore the materialsfrom these regions can be used for selection of cane and sugaryield per se and in breeding program The local accessions inmany of the regions showed superiority over the introducedcommercial varieties currently in production for most of thecharacters including cane and sugar yield (Table 4)This maybe due to the adaptation and coevolution of the materialswith different stresses for long period of time in the countryrsquosagroecology These locally adapted genes conferring yieldadvantage could be harnessed through strategic crossing andselection for improvement of the crop Superiority of locallandraces over introduced varieties was reported [29 30]

The range of variation of the accession means establishedwide variation between the regions and the accessions withinthe regions for the characters studied (Table 5) Accordingly

the maximum score was 41 times the minimum for sproutcount one month after planting 32 for sprout count twomonths after planting 25 for tiller count four months afterplanting 22 for sugar yield 20 for cane yield 12 for millablestalk count 8 for stalk count 10 months after planting 7for single cane weight 6 for tiller count five months afterplanting and 2 for other yield components and sugar qual-ity parameters except hand refractometer brix reading tenmonths after planting and juice purity percent which scored1 The same trend was observed between accessions withina particular region However accessions within AmharaBenshangul-Gumz and introduction showed wider ranges ofvariation than those accessions within other regions for themajority of the characters The wide range of geographic andclimatic features of the regions in Ethiopia and the originaldifferentiation and further farmers selection for productionniches and uses for hundreds of years may have resultedin the accessions to possess a tremendously high degree ofmorphological variation The reason for introduced varietiesshowing high variation also could be due to broader geo-graphic spectrum fromwhere theywere initially acquired anddifference in their parental source and genealogical historyIt was demonstrated even with these limited numbers ofsamples (15 genotypes) that introduction of genetic materialshas practically broadened the genetic base of the sugarcanegermplasm for the breeding program

Coefficient of variation measured as the ratio of standarddeviation to the corresponding overall mean and expressedas percentage is useful to compare different charactersmeasured in different units It is also useful to compare samecharacter in different groups of populations with differentsample size mean and variance or different characters indifferent populations In the current study high coefficientsof variation were observed between regions and within eachregion for sprout as well as tiller counts in the monthsthe data was recorded stalk count 10 months after plant-ing and millable stalk count at harvest cane and sugaryield single cane weight and leaf area (Table 6) Thoughaccessions from a particular region were more variable fora specific character compared to other regions accessionsfromAmhara Benshangul-Gumz introduction and SNNPRwere more variable than accessions from other regions Thisresult demonstrated the tremendous variability of sugar-cane germplasm from these regions The accessions fromTigray and Oromiya had low coefficients of variation formany characters indicating relatively high within-regionuniformity The high coefficients of variation observed formost of the characters agreed well with those reportedin [31] for indigenous sugarcane of Brazil Similar resultswere also reported in sorghum [32] The different levels ofregional variability of a particular character could be due todifferences in forces of selection andor differences in theintensity of a particular selecting force It could also be dueto random effect and reduced sample parents of parentalmaterials moved differently by various human populationmigration and the interaction of these with Darwinianforces

Results of this study suggested the presence of wide rangeof variations of characters determined by univariate statistics

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

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Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

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Plant GenomicsInternational Journal of

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Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

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Submit your manuscripts atwwwhindawicom

Page 7: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 7

Table3Analysis

ofvar8iancefor

21qu

antitativec

haractersinsugarcaneg

ermplasm

(a)

Source

Df

SPC1

MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

MSC

HA

SCW

NOI

ILSH

Region

s5

27895

104387

227356

4218

52473

440

604034483

011

3186lowast

217

33341

Pooled

accessions

with

inregion

20525112lowastlowast74225lowastlowast450722lowastlowast222215lowastlowast209451lowastlowast546952687470lowastlowast058lowastlowast5989lowastlowast907lowastlowast379179lowastlowast

Accessions

with

in

Amhara

4628401lowast

3976

340

4572260899lowast231614lowastlowast524725432500lowastlowast053lowastlowast7931lowastlowast1074lowastlowast424116lowastlowast

Benshang

ul-G

umz

1210731

48430

299362

148323

64299

346096308000lowast074lowastlowast5261lowast497lowast

170761

Intro

duced

142393

7345797lowastlowast

368382

111860

214559lowastlowast532930369800lowastlowast047lowastlowast3937lowastlowast

328

128088

Oromiya

6427241

41389

595995lowastlowast595995lowastlowast186941lowastlowast560786439730lowastlowast048lowastlowast5856lowastlowast944lowastlowast365229lowastlowast

SNNPR

5821699lowast

56563

389904lowast233909lowastlowast241129lowastlowast542934225500lowastlowast073lowastlowast5543lowastlowast916lowastlowast476074lowastlowast

Tigray

113415

7185022

389079

113388

232557lowastlowast817566630900lowastlowast059lowastlowast44061120lowastlowast308455lowastlowast

Pooled

errorw

ithin

region

205

14427

4710

5199979

99206

3018

17406

765678

5014

1394

162

98672

a See

theM

aterialsandMetho

dsforthe

abbreviatio

nsof

thecharacters

lowastlowastSign

ificant

atplt5

and1lowastlevels

respectiv

ely

(b)

Source

SDLL

LWLA

CYHA

Brix

Pol

Purity

SR

SYBrix10MAP

Region

s028lowast4108lowast

223lowastlowast4417866lowastlowast

1516024

515lowast

414

594

21

2944

5215

Pooled

accessions

with

inregion033lowastlowast42546lowastlowast166lowastlowast2203424lowastlowast2341159lowastlowast541lowastlowast63lowastlowast

1288lowastlowast405lowastlowast4271067lowastlowast

32

Accessions

with

in

Amhara

05lowastlowast

4675

1227lowastlowast2886504lowastlowast2015788lowastlowast633lowastlowast763lowastlowast1463lowastlowast496lowastlowast3773662lowastlowast

365

Benshang

ul-G

umz

028

79504lowastlowast166

277443

1166906lowastlowast1081lowastlowast131lowastlowast2271lowastlowast833lowastlowast2138739lowastlowast

416

Intro

duced

027lowast

3598

126lowastlowast2436823lowastlowast1039912lowast

1242lowastlowast1502lowastlowast2362lowast

969lowastlowast236907lowastlowast

33

Oromiya

021lowastlowast4074lowastlowast117lowastlowast149103lowast

2383219lowastlowast486lowastlowast502lowastlowast969lowast

308lowastlowast4462865lowastlowast

348

SNNPR

04lowastlowast40476lowastlowast196lowastlowast2459305lowastlowast2656260lowastlowast313lowast

397lowastlowast

1208

27lowastlowast4565439lowastlowast

25

Tigray

013lowastlowast

14425

093

122259

4732780lowastlowast

204

204

396

123

8429956lowastlowast

219

Pooled

errorw

ithin

region

008

17855

061

9846

73

274134

2216

704

14504369

336

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Submit your manuscripts atwwwhindawicom

Page 8: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

8 Advances in Agriculture

Table4Re

gion

almeans

for2

1charactersinsugarcaneg

ermplasm

(a)

Region

sSP

C1MAPb

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

13c

28bc

67bc

63b

48c

1516

67588c

142

b2865a

796

c21987

c

Benshang

ul-G

umz11

c23

c56

c56

b44

c1501

68780c

158

a2837a

865

ab24022

b

Intro

duced

11c

31b

68bc

64b

57b

1538

99521a

144

b2723b

876

ab23469

b

Oromiya

18b

28bc

84a

76a

58b

1531

83178b

165

a2957a

848

ab24347

b

SNNPR

17b

31b

79ab

66b

57b

1509

78179b

169

a2869a

837

b23453

b

Tigray

24a

40a

91a

84a

72a

1518

106078

a164

a2958a

884

a25342

a

Entired

ata

1629

5869

551519

79885

159

2888

839

23545

119887Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

Means

ofeach

characterfollowe

dby

thes

ameletterw

eren

otsig

nificantly

different

atplt005

accordingto

Dun

canrsquos

multip

lerangetest

(b)

Region

sSD

LLLW

LABrix

Pol

Purity

Yield

CYHA

Sugary

ield

Amhara

268

bc12792

435

b42040

1899

1766b

9284c

d1259b

99644

c12963

c

Benshang

ul-G

umz

274

ab12754

448

ab43110

1914

1783a

b9295b

cd1273a

b04888

c13723

c

Intro

duced

261

c13104

440

ab45010

1924

1785a

b9261d

1270a

b141792b

18572

b

Oromiya

280

a12856

446

ab42956

1921

1801a

b9377a

b1291a

b145190b

19078

b

SNNPR

283

a12953

464

a45123

1904

1781a

b9349a

bc1275a

b140765b

18189

b

Tigray

281

a1266

437

b41792

1939

1821a

9387a

1307a

190729a

24983

a

Entired

ata

276

12869

448

43447

1912

1787

9336

1278

133673

17437

Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Advances in Agriculture 9

Table5Ra

ngeo

fvariatio

nof

accessionmeans

for2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAPa

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

1-36

5-51

20-164

26-141

16-124

1322-1728

15345-185862

038-200

2150-3925

520-112

315883-29043

Benshang

ul-G

umz

4-21

10-52

23-103

22-84

30-67

1331-1673

36207-138621

107-268

2200-3650

691-1004

2014

0-27858

Intro

duced

2-30

4-126

33-134

44-95

33-109

1351-172

641379-166207

091-204

1900-3100

768-1084

19233-25668

Oromiya

2-41

5-48

17-235

22-133

20-112

1224-1719

29655-177586

087-253

1900-40

75

549-118

31874

5-31395

SNNPR

3-39

15-74

12-191

22-119

16-111

1319

-1666

16724-170345

036-264

1950-4225

546

-113

715245-29728

Tigray

11-39

14-94

41-156

58-115

31-102

1373-1658

41724-153793

111-2

122525-3500

626-1033

19515-28175

Entired

ata

1-41

4-126

7-178

22-141

16-124

1224-1728

15345-185862

036-268

1900-4225

520-118

315245-31395

a See

theM

aterialsandMetho

dssectionforthe

abbreviatio

nsof

thec

haracters

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

170-327

10385-15493

200

-556

16691-55568

16800

-33777

51560-2212

1419

-2079

8655-9614

985-1494

2100-46550

Benshang

ul-G

umz

217-308

1073

0-15863

361-565

29633-54324

37250-19075

01426-2112

1251-2

007

8625-9522

853-1453

4550-24675

Intro

duced

212-304

11020-14763

330-556

34076-66512

47575-242450

1393-2082

1214

-199

18709-9598

822-1448

5125-3370

0Oromiya

208-327

8753

-14765

325-578

2872

2-55493

4012

5-292075

1420-2092

1322-1985

8865-9756

944-1443

5100-3895

0SN

NPR

171-3

34

11005-17375

295-620

2417

6-64

529

19425-326200

1549-2103

1356-2002

8507-9675

903-1450

2325-4397

5Tigray

252-320

11720-13655

372-542

34610-54847

48575-33390

01755-2020

1641-191

69221-9

568

1176-1385

6400-43300

Entired

ata

170-334

8753

-17375

200

-620

16691-66512

16800

-33777

51393-2212

1214

-2079

8507-9756

822-1494

2100-46550

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

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Hindawiwwwhindawicom Volume 2018

International Journal of

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Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

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Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

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BiodiversityInternational Journal of

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ScienticaHindawiwwwhindawicom Volume 2018

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Hindawiwwwhindawicom Volume 2018

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Submit your manuscripts atwwwhindawicom

Page 10: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

10 Advances in Agriculture

Table6Percento

fcoefficientofv

ariatio

nfor2

1quantitativ

echaractersinsugarcaneg

ermplasm

byregion

oforigin

(a)

Region

sSP

C1MAP

SPC2

MAP

TC4M

AP

TC5M

AP

STC1

0MAP

Brix10MAP

MSC

HA

SCW

NOI

ILSH

Amhara

10431

9560

7950

6558

5254

1314

5387

2518

1672

1681

1389

Benshang

ul-G

umz

1210

510344

10399

8075

5860

1375

5980

2164

1591

1592

1569

Intro

duced

11615

8077

7198

6011

4285

1413

3934

2341

1313

1573

1643

Oromiya

8127

7358

7187

4868

4098

1239

3996

2304

1492

1674

1335

SNNPR

7212

8117

6627

4975

3563

1392

4249

2620

1368

1514

1514

Tigray

5585

8435

6460

4533

2453

1215

2604

1802

1653

1214

1121

Entired

ata

7549

7410

5870

4597

3140

1206

3407

2332

1293

1518

1334

(b)

Region

sSD

LLLW

LACY

HA

Brix

Pol

Purity

Yield

Sugary

ield

Amhara

878

1402

2181

2986

5856

892

1040

289

1170

6033

Benshang

ul-G

umz

1448

1297

2031

2772

5550

1025

1087

285

1160

5600

Intro

duced

1399

1066

1591

2079

4680

589

760

376

987

5134

Oromiya

1035

1093

1870

2386

4557

654

692

280

780

4586

SNNPR

1193

1156

1659

2305

4989

752

837

345

956

5065

Tigray

737

1001

2541

3193

3343

643

685

211

743

3215

Entired

ata

991

1038

1752

2284

3917

740

822

284

926

4073

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 11: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 11

This is in agreement with previous studies on sugarcanegermplasm [33ndash35]

This is the first study to report information on geo-graphical pattern of variation in Ethiopian local sugarcanegermplasm which has been lacking so far Our results pro-vided experimental evidence on occurrence of geographicalvariation and significant within-region variation where it washigh in the regions such as Amhara Benshangul-Gumz andSNNPR

The overall patterns of similarity or difference betweenregions seemed to depend on environmental factors such asrainfall temperature length of growing season and altitudeWide variability of millable stalk count at harvest singlecane weight and plant height was observed among regionswhere these characters demonstrated high correlation withcane and sugar yield (Table 7) Therefore breeders can utilizeaccessions of regions showing variability for these charactersin selection programs and to design breeding strategies toproduce varieties with best commercial merits

Bivariate Statistics Correlation coefficients worked out onthe 21 quantitative characters are shown for the entire data(Table 7) between regions (Table 8) and within regions(data not shown) Results of the association studies for theentire data showed that cane and sugar yield had highlysignificant positive correlation with most of the quantitativestalk characters and juice quality parameters However theassociation of tiller counts 4 and 5 months after plantingstalk count 10 months after planting millable stalk countat harvest single cane weight and plant height with caneand sugar yield was stronger suggesting these componentcharacters asmain contributing factor to cane and sugar yieldIn fact sugar yield is the product of cane yield and sucrose per-cent cane surely being influenced with components affectingcane yield Similar trend was reported by earlier sugarcaneworkers [36 37] In sugarcane the cane and sugar yields areconsidered to be the complex characters The information onthe phenotypic interrelationship of cane yield and sugar yieldwith their component character per se would be of immensehelp to sugarcane breeders

Stem diameter had significant positive association withboth cane and sugar yield indicating the significance ofthis trait in improving both cane and sugar yields Similarreports have beenmade by earlier sugarcane workers [37 38]Stalk diameter was also positively and significantly correlatedwith plant height It is one of the traits that are related tolodging resistance [39] and the positive associations withheight would help in reducing the chance of lodging as heightincreases Among the physiological attributes included in thestudy leaf area had highly significant positive associationwith cane yield Similar observation was also made in [37]Sucrose percent which is an important juice quality attributehad highly significant positive association with sugar yieldand simultaneously cane yield also had highly significantassociation with sugar yield Based on the magnitude ofcorrelation coefficient values it can be said that cane yield ismuch more important than sucrose percent in determiningthe sugar yield and the same has also been reported by othersugarcane workers [37 40] Similar to observations made in

[37 41] results of the current study showed that all the qualityparameters like sucrose percent pol percent brix percentand purity percent were significantly correlated in positivedirection This indicated any of these juice quality traitscould be considered for selection leading to the simultaneousimprovement in the remaining quality traits

Ten of the 21 characters also showed significant positivecorrelations with altitude of the collection sites (Table 7) Asdescribed in [42] ecological characteristics have influencedthe genotypic constitution of landraces during domesticationand hence a relationship exists between the agroecology inthe collection site and the morphological characteristics ofthe landraces Thus positive correlation between collectionsite variables and plant characteristics would imply that thevariation between accessionsmay be related to agroecologicalvariations among the collection sites [43]

The correlation coefficient between number of internodesand altitude was negative and significant indicating thatother environmental factors (other than altitude) andornonenvironmental factorsmight account for the variation forthis particular character Since temperature decreases withan increase of altitude in Ethiopia [44 45] it is more likelythat temperature has exerted strong selection pressure innumber of internodes in the genotypes Information on therelationships between environmental factors of the collect-ing sites and morphophysiological variation of germplasmcould enhance the understanding of evolutionary adaptivepatterns which could assist germplasm collectors and users[46]

Character associations between region and within regionalso followed similar fashion like that of the entire dataNumber of sprout tiller and stalk counts and sugar qualityparameters showed significant positive correlations with caneand sugar yield

Though not significant and strong the correlation of leaflength and width and leaf area (leaf area = leaf length Xleaf width X 075) with cane and sugar yield was negativein the interregion correlations This kind of relationship wasalso exhibited between these leaf characteristics and yieldcomponents like tiller and stalks counts plant height andsingle cane weight and stalk diameter and sugar qualityparameters This may have been attributed to the variationof temperature with altitude and other environmental factorsacross the regions resulting in such type of relationshipSuch relationship also calls for the need to have enough dataon environmental variables of the collection sites such astemperature and rainfall if germplasm collection is requiredtomeet its objectives effectively and efficiently Unfortunatelydata on such useful environmental variables like temperatureand rainfall are lacking in the passport data of the currentEthiopian sugarcane germplasm collections The significanceof environmental factors of the collection sites as veryimportant determinants in structuring morphophysiolog-ical variations was reported in tetraploid wheat [22 4748]

Association of characters among yield its componentsand other economic traits is important for the interpretationof the patterns of variation and making selection in breed-ing program and combining several desirable attributes It

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

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Page 12: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

12 Advances in Agriculture

Table7Simplec

orrelatio

ncoeffi

cientsbetween21

quantitativec

haractersand

thec

haractersw

ithaltitud

eofcollectionsites

basedon

them

eanfor2

11sugarcanea

ccessio

ns

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UV

A10

0B057lowastlowast

100

C063lowastlowast038lowastlowast

100

D054lowastlowast024lowastlowast071lowastlowast

100

E056lowastlowast032lowastlowast079lowastlowast072lowastlowast

100

F006

007

-003

-009

-007

100

G043lowastlowast030lowastlowast070lowastlowast069lowastlowast088lowastlowast

-0156lowast

100

H019lowastlowast

010027lowastlowast031lowastlowast032lowastlowast

-017lowast037lowastlowast

100

I022lowastlowast

-001

010

005001

017lowast

-011

-010

100

J006

013022lowastlowast031lowastlowast031lowastlowast

-014lowast048lowastlowast053lowastlowast

-068lowastlowast

100

K028lowastlowast017lowast041lowastlowast048lowastlowast048lowastlowast

-005060lowastlowast068lowastlowast

001071lowastlowast

100

L006

004

011

011

011

-017lowast016lowast071lowastlowast

-002024lowastlowast035lowastlowast

100

M012

-006

017lowast

019lowastlowast

014lowast

-007018lowastlowast028lowastlowast

-008025lowastlowast024lowastlowast021lowastlowast

100

N-008

-011

-012

-006

-015lowast

-019lowastlowast

-010044lowastlowast

-006015lowast016lowast054lowastlowast014lowast

100

O-0001

-006

001

003

-003

-020lowastlowast

004047lowastlowast

-008023lowastlowast024lowastlowast050lowastlowast057lowastlowast087lowastlowast

100

P014lowast

011019lowastlowast021lowastlowast020lowastlowast

002029lowastlowast045lowastlowast

-008029lowastlowast036lowastlowast046lowastlowast014lowast025lowastlowast025lowastlowast

100

Q019lowastlowast

012022lowastlowast022lowastlowast021lowastlowast

003028lowastlowast044lowastlowast

-003027lowastlowast037lowastlowast046lowastlowast014lowast023lowastlowast023lowastlowast097lowastlowast

100

R027lowastlowast

009021lowastlowast015lowast014lowast

001

012021lowastlowast

012009024lowastlowast025lowastlowast

006

010

011049lowastlowast067lowastlowast

100

S021lowastlowast

012023lowastlowast021lowastlowast021lowastlowast

004026lowastlowast042lowastlowast

-000025lowastlowast036lowastlowast044lowastlowast

013021lowastlowast022lowastlowast094lowastlowast099lowastlowast075lowastlowast

100

T042lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-018lowastlowast091lowastlowast068lowastlowast

-014lowast058lowastlowast071lowastlowast039lowastlowast026lowastlowast

008020lowastlowast039lowastlowast038lowastlowast017lowast036lowastlowast

100

U043lowastlowast029lowastlowast063lowastlowast063lowastlowast080lowastlowast

-017lowast091lowastlowast068lowastlowast

-014lowast057lowastlowast071lowastlowast040lowastlowast026lowastlowast

007020lowastlowast045lowastlowast044lowastlowast022lowastlowast043lowastlowast010lowastlowast

100

V014lowast

017lowast

015lowast

011021lowastlowast

-009022lowastlowast018lowastlowast

-017lowast018lowastlowast

010018lowastlowast

008

009

011

010

010

003

009025lowastlowast025lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yieldV=A

ltitude

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

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Food ScienceInternational Journal of

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International Journal of

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Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

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Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

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PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

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ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

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Plant GenomicsInternational Journal of

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Biotechnology Research International

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Submit your manuscripts atwwwhindawicom

Page 13: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 13

Table8Interregionsim

plec

orrelatio

ncoeffi

cientsam

ong21

quantitativec

haracters(basedon

them

eanof

the6

region

sofo

rigin)

AB

CD

EF

GH

IJ

KL

MN

OP

QR

ST

UA

100

B080

100

C081

071

100

D091lowast082lowast088lowast

100

E086lowast095lowastlowast086lowast092lowast

100

F000

030

045

040

041

100

G055084lowast

064

071089lowast

060

100

H065

021

060

043

040

-032

010

100

I080

032

057

070

043

-020

003

065

100

J029

041

029

033

053

022

074

030

-009

100

K069

051

057

065

069

006

064

067

048083lowast

100

L074

026

057

048

039

-044

000095lowastlowast

080

009

056

100

M-052

-017

003

-034

-012

055

012

-029

-073

002

-037

-049

100

N-001

-025

017

-025

-014

-039

-030

066

001

-004

002

055

031

100

O-040

-018

004

-040

-012

019

006

006

-065

016

-018

-017

089lowast

066

100

P057

067

051

069

077

040

088lowast

024

023

087lowast

087lowast

014

-021

-038

-022

100

Q081lowast

070

071085lowast084lowast

024

076

056

057

073

095lowastlowast

050

-039

-017

-031

092lowast

100

R091lowast

052081lowast

081

067

-006

032

084lowast

090lowast

021

070

089lowast

-048

023

-032

043

075

100

S088lowast068075087lowast083lowast

014

067

066

069

063093lowastlowast

064

-046

-008

-035

083lowast

098lowastlowast

085lowast

100

T085lowast090lowast085lowast088lowast099lowast

036

089lowast

049

042

065

079

044

-013

-006

-007

083lowast

090lowast

070

088lowast

100

U084lowast090lowast085lowast089lowast098lowastlowast

037

090lowast

048

042

065

080

043

-013

-008

-008

084lowast

091lowast

070

088lowast

100lowastlowast

100

A=aSP

C1MAP

B=SP

C2MAP

C=TC

4MAP

D=T

C5MAP

E=ST

C10M

AP

F=Brix10MAP

G=M

SCHAH

=SCW

I=N

OIJ=ILK

=SHL

=SDM

=LL

N=L

WO

=LAP

=Brix

Q=P

olR

=purity

S=y

ieldT

=CYH

A

U=sugar

yield

119886Seethe

MaterialsandMetho

dsforthe

abbreviatio

nsof

thec

haracters

lowastandlowastlowastsignificantatplt5

and1lowastlevels

respectiv

ely

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

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Hindawiwwwhindawicom Volume 2018

International Journal of

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Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

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Applied ampEnvironmentalSoil Science

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AgricultureAdvances in

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Submit your manuscripts atwwwhindawicom

Page 14: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

14 Advances in Agriculture

suggests the advantage of a scheme of selection for morethan one character at a time The correlation between char-acters may arise from linkage or from developmental geneticinteractions with orwithout a purely phenotypic componentIt could arise also due to differential phenotypic plasticityof characters themselves Within the limit of experimentalerror and environmental effects high correlation coefficientsbetween characters may show that the characters sharesome common element of genetic control (ie pleiotropylinkage) between genes or else from independently controlledcharacters responding similarly to geographic variation inselection pressures [49] The interregion correlation coef-ficient between the characters measures the consistency oftheir patterns of regional variation while the intraregioncorrelation coefficient measures the association arising fromgenetic factors but is not affected by regional variation[50] Since this study showed significant positive correlationsintraregionally for some character combinations it wouldseem that common genetic control might be playing a role inbringing about correlations between the various charactersIt appeared that different response to regional variationwas playing a greater role than different genetic controlas shown by the many more significant and moderate tohigh correlation coefficients intraregionally than interregion-ally

322 Qualitative Characters The frequency distribution forthe 16 qualitative characters of germplasm samples by regionsin Ethiopia and of the exotic accessions is shown in Supple-mental Table 5 For the purpose of avoiding redundancy andimproving readability the discrete characters are presented bygrouping related traits together

BudCushion andRelativeDegree of BudExtension Evaluationof the presence and absence of bud cushion revealed thatgreat proportion (70) of sugarcane landraces from Ethiopiado not have bud cushion Majority of the sample germplasmin all regions belong to this phenotypic class Approximatelyone-half (53) of the collection have their bud extendedabove the growth ring followed by those (41) having budtouching the growth ring

Relative Bud Shape Among the phenotypic classes for thischaracter tall deltoid was dominant (31) followed by ovate(17) and narrow ovate (12) While local accessions inmost regions had tall deltoid bud shape 50 of the intro-duced accessions belong to two phenotypic classes roundwith central germpore (30) and 20 having pentagonalbud shape Equal proportions (19) of the samples fromBenshangul-Gumz were Ovate and Ovate with emarginatebasal wing

Canopy Structure Relative Plant Erectness Colour of theLeaves and Colour of the Exposed Rind Out of the eightphenotypic classes observed compact tip droopy was themost frequent (35) Open semidroopy and open droopyclasses had fairly equal distribution With regard to relativeplant erectness seventy-five percent of the germplasm werefound to fall in twophenotypic classes erect (41) and almost

erect (34) for the whole region and country Most of theaccessions (90) showed light green or green leaf colourbut 20 from introduced collections were greenish yellowAmong phenotypic classes for colour of the exposed rindbrownish yellow yellow brown and yellowish green were themost frequent with fairly equal distribution

Relative Shape of Dewlap Double crescent had larger fre-quency (22) while squarish descending and flaring typeof dewlap shape had fairly equal proportions Seventeenpercent of germplasm from Tigray region had squarishdeltoid dewlap shape

Relative Degree of Internode Alignment and Internode ShapeForty-four percent of the sample germplasm were slightlyzigzag while there was almost equal frequency for straightand zigzag internode alignment for the entire region andcountry Straight or nearly straight (slightly zigzag) internodealignment of cane stalks is a very important character formechanized farming and postharvest handling in sugarcane[51] Forty percent of the collections were observed havingconcave-convex type of internode shape while 29 wascylindrical and 14 conoidal Other classes had fairly equalproportion

Type of Auricle and Relative Shape of Ligule An equalproportion of the germplasm totally constituting 84 ofthe collection belong to four phenotypic classes namelythose with no auricle and others with transitional and shortand lanceolate auricles Sixteen percent of the collectionsalso showed equal frequency for the remaining classesBenshangul-Gumz and Tigray regions had each equal 13accessions with falcate type of auricle Sixty-seven percentof the collections belong to three ligule shape classes cres-cent with lozenge (27) broad-crescent (21) and linear-crescent (19) The germplasm had almost equal proportionfor the other phenotypic classes of this character Nineteenpercent of the accessions fromBenshangul-Gumz region haddeltoid shape of ligule

Stalk Corky Cracks Corky Patches Growth Cracks and BudGroove Eighty-nine percent of the germplasm across regionshad no stalk corky cracks with only eleven percent exhibitingthis character All the germplasm in Gambella Harari andSomali had no stalk corky cracks On the other hand eighty-one percent of the germplasm for the whole region showedthe presence of stalk corky patches All the local germplasmin Benshangul-Gumz Gambella and Tigray had stalk corkypatches whereas 75 of the germplasm from Harari Region67 from Somali Region and 24 from Oromia Regionhad no stalk corky patches In the entire region 75 ofthe germplasm had no stalk growth cracks with only 25showing this character Sixty-three percent of the germplasmwere found to have bud groove Howevermost of the samplesin Harari (75) Amhara (63) and Oromia (53) Regionshad no bud groove

The results of this study indicated the wide distributionof phenotypic classes for the characters considered whichindicates the existence of different races and combination

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom

Page 15: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 15

of races in local genotypes of different regions in EthiopiaThis diversity of germplasmbased onphenotypicmarkers canhelp sugarcane breeders in identifying the identity of geno-types as well as maintaining genetic diversity Differencesin morphological characters of different sugarcane varietieshave been reported [52] Piscitelli [53] showed importantexomorphological qualitative characters of sugarcane varietythat are not influenced by environmental factors and thus canbe used as a selection tool in any breeding program

The amount of phenotypic diversity estimates based onthe ShannonndashWeaver diversity index (H1015840) are shown inTable 9 The 16 characters differed in their distribution aswell as the amount of variation Individual traits showed adifferent pattern of variation among accessions Estimatesof H1015840 for individual characters varied from 049 for stalkcorky cracks to 100 for bud groove with an overall meanof 080 Most of the characters were highly polymorphicwhereas relative plant erectness and presence or absenceof stalk corky patches scored moderate values The highdiversity values for the characters showed a wide variabilityamong genotypes According to [54] this index is also usedin genetic resource studies as a convenient measure of bothallelic richness and allelic evenness when using geneticdata

The highest diversity computed was on presence orabsence of bud groove with a diversity index of 100indicating that this character is very variable in the localsugarcane germplasm On the other hand the descriptorcomputed with the lowest diversity index value (049) wasthe presence or absence of stalk corky cracks indicatingthat this character is selected in the development of thegenotypes In agreement with the present study [55] workingon S officinarum accessions from the world collection ofsugarcane germplasm obtained a low index of 025 and 035for presence or absence of stalk corky patches and cracksrespectively

Their report also showed high diversity index values forinternode alignment growth cracks internode shape budcushion bud extension bud groove and ligule shape Sim-ilarly [56] experimenting on field collections of sugarcaneaccessions in Philippine reported high ShannonndashWeaverdiversity for stalk growth cracks bud cushion stalk corkypatch stalk corky cracks bud extension and auricle outershape Unlike the present study they have reported high indexfor stalk corky cracksMedium index values were reported forstalk internode shape and low index values for ligule shapeand bud shape High variability of sugarcane varieties fordewlap shape was also reported in [57]

The H1015840 pooled across characters by region ranged from079 in Oromiya to 085 in Tigray with an overall aver-age of 081 (Table 8) Most of the regions showed highShannonndashWeaver diversity index The populations that hadthe highest H1015840 were that of Tigray and introduction The H1015840averaged over regions for different characters was found torange from 044 for presence or absence of stalk corky cracksto 094 for relative degree of internode alignment and budgroove with an overall average of 081 (Table 9)

Assessment of the ShannonndashWeaver index also showedsensitivity to both the number of descriptor classes and the

distribution within phenotypic classes in each region Amongregions the mean values for the ShannonndashWeaver index arenot significantly different but differences were found whenindividual characters were considered These observationssuggest that some regions have high diversity for particulartraits while in other regions selective pressures might havereduced the variation to certain genotypes

4 Conclusions

The large number of landraces observed during the cur-rent study demonstrates the existence of diverse geneticresources of sugarcane in Ethiopia The landraces wouldserve to broaden the genetic base of the available sugarcanegermplasm Generally distribution of the overall phenotypicdiversity among sugarcane landraces in Ethiopia is unevenOur results showed that there was a wide range of variationthat existed in the local sugarcane landraces studied both atregional and within region levels Selection and differenti-ation of types might have taken place along a geographicalpattern perhaps associated with climate and use The presentstudy contributes to updating sugarcane descriptors adoptedfrom USDA-ARS as well as Bioversity passport data forthe future collection and evaluation As Ethiopian SugarCorporation is in the course of launching breeding programthe observed substantial variation of landraces would enablesugarcane breeders to design and practice breeding andselection programs to improve the crop

Data Availability

The data used to support the findings of this study areavailable from the corresponding author upon request

Conflicts of Interest

The authors declare that they have no conflicts of interest

Acknowledgments

The authors are grateful for the financial grant of SugarCorporation of Ethiopia Many thanks are due to EthiopianBiodiversity Institute (EBI) for its technical advice duringcollection of the local sugarcane genotypes Sincere thanksare forwarded to Ethiopian smallholder farmers who pre-served sugarcane germplasm and shared their knowledgeand experience Regional Zonal and District (ldquoWeredardquo)Agriculture Bureaus across Ethiopia are acknowledged fortheir support during the study

Supplementary Materials

These supplementary materials contain different tables sup-porting the results of the study These include passport dataof sugarcane germplasm collected and related informationon the materials local sugarcane germplasm collected andused formorphological diversity study introduced sugarcane

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom

Page 16: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

16 Advances in Agriculture

Table9Sh

anno

n-WeaverD

iversityIndices(H1015840)a

ndmeanandsta

ndarderror(plusmnS

E)of

land

racesineach

region

basedon

16discretecharacters

Characters

Amha

raBe

nsha

ngul-G

umz

Introd

uced

Oromia

SNNP

Tigray

ELb

Total

Presence

orabsenceo

fbud

cushion(BUDCUSH

ION)

083

095

095

089

082

098

090

088

Relativ

edegreeo

fbud

extension(BUDEX

TEND)

077

079

093

074

072

087

080

078

Relativ

ebud

Shape(BU

DSH

APE

)078

096

089

081

085

078

084

078

Canop

ystructure(C

ANOPY

)089

098

095

081

078

096

089

084

Relativ

eshape

ofdewlap(D

EWLA

PSHAP)

087

094

092

090

082

096

090

086

Relativ

eplant

erectness(ER

ECT)

080

082

050

067

071

088

073

064

Relativ

edegreeo

finterno

dealignm

ent(IN

ALIGN)

096

076

098

097

098

100

094

098

Relativ

einterno

deshape(IN

SHAPE

)086

069

095

077

083

091

083

082

Color

oftheleaves(LE

AFC

OLO

R)087

071

090

064

074

071

076

076

Type

ofou

tera

uricle(A

URI

CLE

OUT)

080

092

087

079

083

093

086

082

Relativ

eshape

ofligule(LIGSH

APE

)086

094

082

085

090

083

087

083

Presence

orabsenceo

fstalkcorkyc

racks(ST

ALK

CORK

C)

044

054

035

055

051

025

044

049

Presence

orabsenceo

fstalkcorkyp

atches(STA

LKCORK

P)066

000

072

079

059

087

060

069

Presence

orabsenceo

fstalkgrow

thcracks

(STA

LKCRA

CK)

066

100

088

062

088

099

084

080

Color

ofthee

xposed

rind(R

INDCOLE

)085

096

089

084

086

076

086

085

Presence

orabsenceo

fbud

groo

ve(BUDGRO

OVE)

095

100

072

100

100

099

094

100

Means

080plusmn0

03

081plusmn0

06

083plusmn0

04

079plusmn0

03

080plusmn0

03

085plusmn0

05

081plusmn0

03

080

b EL=

averageo

fentire

locatio

n

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom

Page 17: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Advances in Agriculture 17

varieties used for morphological diversity study and fre-quency distribution for 16 qualitative characters in sugarcaneby regions in Ethiopia and country of sources of introducedgenotypes (Supplementary Materials)

References

[1] ldquoSpreading the word about clean solutions from sugarcanrdquoAccessed 04072018 httpwwwsugarcaneorg

[2] Central Statistics Agency (CSA) ldquoAgricultural sample surveyArea and production of major crops private peasant holdingsrdquoStatistical Bulletin Addis Ababa Ethiopia 2017

[3] T Esayas Exploration and Collection Characterization GeneticDiversity Analysis and Association of Traits for Yield and YieldComponents of Sugarcane (Saccharumspp) in Ethiopia [MasterThesis] Haramaya University Dire Dawa Ethiopia 2014

[4] J R Harlan Crops and Man American Society of AgronomyCrop Science Society of America Madison WI USA 2ndedition 1992

[5] R W Allard Principles of Plant Breeding JohnWilley and SonsNew York NY USA 2nd edition 1999

[6] B T Roach and J Daniels ldquoA review of the origin and improve-ment of sugarcanerdquo in Proceedings of Coper sugar InternationalSugarcane Workshop pp 1ndash32 1987

[7] P P Patil S S Patil and D U Patel ldquoGenetic diversity in sug-arcane (Saccharum spp Complex)rdquo Journal of Pharmacognosyand Phytochemistry vol 6 no 6 pp 570ndash573 2017

[8] R B Singh B Singh andR K Singh ldquoStudy of genetic diversityof sugarcane (Saccharum) species and commercial varietiesthrough TRAP molecular markersrdquo Indian Journal of PlantPhysiology vol 22 no 3 pp 332ndash338 2017

[9] R W Allard ldquoPopulation structure and sampling methodsrdquo inGenetic Resources in PlantsmdashTheir Exploration and Conserva-tion O H Frankel and E Bennett Eds IBP Handbook no 11pp 97ndash107 FA Davis Company Philadelphia PA USA 1970

[10] D R Marshall and A H D Brown ldquoOptimum samplingstrategies in genetic conservationrdquo inCrop Genetic Resources forToday and Tomorrow O H Frankel and J G Hawkes Eds pp53ndash80 Cambridge University Press 1975

[11] J G Hawkes Crop Genetic Resources Field Collection ManualPudoc Wagnningen Netherland 1980

[12] J G Hawkes The Diversity of Crop Plants Harvard UniversityPress London England 1983

[13] B P K Yerima Manual for Good Laboratory Practice Foodand Agriculture Organization of United Nation Addis AbabaEthiopia 1993

[14] A Walkley and I A Black ldquoAn examination of the degtjareffmethod for determining soil organic matter and a proposedmodification of the chromic acid titrationmethodrdquo Soil Sciencevol 37 no 1 pp 29ndash38 1934

[15] S R Olsen and L E Sommers ldquoPhosphorusrdquo in AgronomyMonograph A L Page et al Ed Methods of soil analysis part2 pp 403ndash430 ASA and SSSAMadisonWI USA 2nd edition1982

[16] R H Bray and L T Kurtz ldquoDetermination of total organic andavailable forms of phosphorus in soilsrdquo Soil Science vol 59 no1 pp 39ndash46 1945

[17] S Sahlemedhin andB Taye ldquoProcedures for soil and plant anal-ysisrdquo Tech Rep 74 National Soil Research Center EthiopianAgricultural Research Organization 2000

[18] F C Stickler S Weaden and AW Pauli ldquoLeaf area determina-tion in grain sorghumrdquo Journal of Agronomy and Crop Sciencevol 53 pp 187-188 1961

[19] Munsell Color ChartThe Munsell Book of Color Matte Collec-tion Munsell Color Chart NewWindsor NY USA 1990

[20] H O Hartley ldquoThe maximum F-ratio as a short cut test forheterogeneity of variancesrdquo Biometrika vol 37 pp 308ndash3121950

[21] L Pecetti P Annicchiarico and A B Damania ldquoBiodiversity ina germplasm collection of durumwheatrdquo Euphytica vol 60 no3 pp 229ndash238 1992

[22] L Pecetti and A B Damania ldquoGeographic variation intetraploid wheat (Triticum turgidum ssp turgidum convardurum) landraces from two provinces in Ethiopiardquo GeneticResources and Crop Evolution vol 43 no 5 pp 395ndash407 1996

[23] S K Jain C O Qualset G M Bhatt and K K Wu ldquoGeo-graphical patterns of phenotypic diversity in a world collectionof durumwheatsrdquoCrop Science vol 15 no 5 pp 700ndash704 1975

[24] K K Nkongolo L Chinthu M Malusi and Z Vokhiwa ldquoPar-ticipatory variety selection and characterization of sorghum(Sorghum bicolour (L) Moench) elite accessions from Malaw-ian gene pool using farmer and breeder knowledgerdquo AfricanJournal of Agricultural Research vol 3 pp 273ndash283 2008

[25] M B Semira ldquoInnovative methods and metrics for agricul-ture and nutrition actions soil quality and human nutritionin Ethiopiardquo Leverhulme Center for Integrative Research onAgriculture and Health (LCIRAH) 2017

[26] I A Khan A Khatri M A Siddiqui G S Nizamani and SRaza ldquoPerformance of promising sugarcane clone for yield andquality traits in different ecological zones of Sindhirdquo PakistanJournal of Botany vol 36 no 1 pp 83ndash92 2004

[27] M F Perera M E Arias D Costilla et al ldquoGenetic diversityassessment and genotype identification in sugarcane based onDNAmarkers andmorphological traitsrdquo Euphytica vol 185 no3 pp 491ndash510 2012

[28] C G Neil M Kay and C C Jack ldquoDiversity among mainlandUSA sugarcane cultivars examined by SSR genotypingrdquo Journalof the American Society of Sugar Cane Technologists vol 29 pp36ndash52 2009

[29] S SchenckMWCrepeauK KWu P HMooreQ Yu andRMing ldquoGenetic diversity and relationships in native HawaiianSaccharum officinarum sugarcanerdquo Journal of Heredity vol 95no 4 pp 327ndash331 2004

[30] R Gebretsadik H Shimelis M D Laing P Tongoona andN Mandefro ldquoA diagnostic appraisal of the sorghum farmingsystem and breeding priorities in Striga infested agro-ecologiesof Ethiopiardquo Agricultural Systems vol 123 pp 54ndash61 2014

[31] L E V Cesar A T Bruzi J A R Nunes et al ldquoGeneticdivergence of sugarcane varieties collected in the region ofLavras Minas Gerais Brazilrdquo Genetics and Molecular Researchvol 14 no 4 pp 14043ndash14049 2015

[32] C Grenier P J Bramel J A Dahlberg et al ldquoSorghums of theSudan analysis of regional diversity and distributionrdquo GeneticResources and Crop Evolution vol 51 no 5 pp 489ndash500 2004

[33] N V Nair R Balakrishnan and T V Sreenivasan ldquoVariabilityfor quantitative traits in exotic hybrid germplasm of sugarcanerdquoGenetic Resources and Crop Evolution vol 45 no 5 pp 459ndash464 1998

[34] R Nagarajan S Alarmelu and R M Shanthi ldquoStudies onvariation in interspecific hybrids of Saccharumrdquo Sugar Tech vol2 no 3 pp 42ndash46 2000

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom

Page 18: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

18 Advances in Agriculture

[35] D N Kamat and J R P Singh ldquoVariability in Sugarcane underrain fed conditionrdquo Sugar Technology Short Communicationsvol 3 no 1-2 pp 65ndash67 2001

[36] B S Rishipal A S M Chaudhary and S P Kadian ldquoStudieson character interrelationship in clonal generation of sugarcane(Saccharum complex hybrids)rdquo Indian Sugar vol 47 no 11 pp907ndash911 1998

[37] S Thippeswamy S T Kajjidoni P M Salimath and J V GoudldquoCorrelation and path analysis for cane yield juice quality andtheir component traits in sugarcanerdquo Short Communication vol5 no 1-2 pp 65ndash72 2003

[38] P S Verma S Pal and N K Karma ldquoGenetic variability andcorrelation studies in sugarcanerdquo Indian Sugar vol 49 pp 125ndash128 1999

[39] H A Esechie J W Maranville and W M Ross ldquoRelationshipof stalk morphology and chemical composition to lodgingresistance in sorghumrdquo Crop Science vol 17 no 4 p 609 1977

[40] P K Das B C Jena and N Nayak ldquoCharacter association andpath analysis of sugar yield in sugarcanerdquo Indian Sugar vol 46no 10 pp 805ndash808 1997

[41] K J Sreekumar M Kuriakose M Thomas D Alexander andS Santhakumari ldquoVariability heritability and correlation onstudies on the yield and quality characters of sugarcanerdquo IndianSugar vol 44 no 4 pp 243ndash249 1994

[42] J R Harlan J M de Wet and E G Price ldquoComparativeevolution of cerealsrdquo Evolution vol 27 no 2 pp 311ndash325 1973

[43] A Elings ldquoDurum wheat landraces from syria II patterns ofvariationrdquo Euphytica vol 54 no 3 pp 231ndash243 1991

[44] K Tato ldquoRainfall in Ethiopiardquo Ethiopian Geographical Journalvol 2 pp 28ndash36 1964

[45] A B L Stemler J R Harlan and J M J deWet ldquoThe sorghumsof ethiopiardquo Economic Botany vol 31 no 4 pp 446ndash460 1977

[46] P Annicchiarico L Pecetti and A B Damania ldquoRelationshipsbetween phenotypic variation and climatic factors at collectingsites in durum wheat landracesrdquo Hereditas vol 122 no 2 pp163ndash167 1995

[47] A B Damania L Pecetti C O Qualset and B O HumeidldquoDiversity and geographic distribution of adaptive traits inTriticum turgidum L (durum group) wheat landraces fromTurkeyrdquoGenetic Resources and Crop Evolution vol 43 no 5 pp409ndash422 1996

[48] A Ayana and E Bekele ldquoGeographical patterns of morpho-logical variation in sorghum (Sorghum bicolor (L) Moench)germplasm from Ethiopia and Eritrea quantitative charactersrdquoEuphytica vol 115 no 2 pp 91ndash104 2000

[49] D S Falconer Introduction to Quantitative Genetics JohnWilley and Sons Inc New York NY USA 3rd edition 1993

[50] R S Thorpe ldquoBiochemical analysis of geographical variationand racial affinitiesrdquo Biology Review vol 51 pp 407ndash452 1976

[51] M Farooq ldquoMorphological and agricultural characteristicsof sugarcane in relation to mechanized agriculture at NARCIslamabadrdquo Portu Rico Journal vol 1 pp 51ndash61 1989

[52] M Akhtar N N Elahi and M Ashraf ldquoEvaluation of exoticsugarcane varieties for agronomic characters and productivityrdquoPakistan Journal of Biological Sciences vol 4 no 1 pp 37ndash402001

[53] F R Piscitelli ldquoPrincipals caracteres exomorfologicos de cul-tures de cana de azucarrdquo TUC Iindustraly Agricos vol 7 pp 49ndash57 1994 (Spanish)

[54] A H D Brown and B S Weir ldquoMeasuring genetic variability inplant populationsrdquo in Isozyme in Plant Genetics Breeding S DTanksley and T J Orton Eds part A Elsevier Science 1983

[55] R Balakrishnan N V Nair and T V Sreenivasan ldquoA methodfor establishing a core collection of Saccharum officinarum Lgermplasm based on quantitative-morphological datardquo GeneticResources and Crop Evolution vol 47 no 1 pp 1ndash9 2000

[56] C A Nestor and B Q Reynaldo Sugarcane Variety Improve-ment in Southeast Asia and the Pacific for Enhanced andSustainable Productivity ndash Germplasm and Disease IndexingComponents Institute of Plant Breeding (IPB) College ofAgriculture (CA) UP Los Banos (UPLB) 2003

[57] A Maqbool J Muhammad and A Sagheer ldquoAgronomic traitsand morphological characteristics of some exotic varieties ofsugarcanerdquoPakistan Journal of Agricultural Research vol 19 no4 2006

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom

Page 19: Sugarcane Landraces of Ethiopia: Germplasm Collection and …downloads.hindawi.com/journals/aag/2018/7920724.pdf · Metehara Sugar Estates of Sugar Corporation of Ethiopia during

Nutrition and Metabolism

Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

Food ScienceInternational Journal of

Hindawiwwwhindawicom Volume 2018

International Journal of

Microbiology

Hindawi Publishing Corporation httpwwwhindawicom Volume 2013Hindawiwwwhindawicom

The Scientific World Journal

Volume 2018

Hindawiwwwhindawicom

Applied ampEnvironmentalSoil Science

Volume 2018

AgricultureAdvances in

Hindawiwwwhindawicom Volume 2018

PsycheHindawiwwwhindawicom Volume 2018

BiodiversityInternational Journal of

Hindawiwwwhindawicom Volume 2018

ScienticaHindawiwwwhindawicom Volume 2018

GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Plant GenomicsInternational Journal of

Hindawiwwwhindawicom Volume 2018

Biotechnology Research International

Hindawiwwwhindawicom Volume 2018

Forestry ResearchInternational Journal of

Hindawiwwwhindawicom Volume 2018

BotanyJournal of

Hindawiwwwhindawicom Volume 2018

EcologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Veterinary Medicine International

Hindawiwwwhindawicom Volume 2018

Cell BiologyInternational Journal of

Hindawiwwwhindawicom Volume 2018

Hindawiwwwhindawicom Volume 2018

BioMed Research International

Agronomy

Hindawiwwwhindawicom Volume 2018

International Journal of

Submit your manuscripts atwwwhindawicom