EFFECT OF BLENDED NPS FERTILIZER RATES ON YIELD, YIELD RELATED TRAITS AND TUBER QUALITY OF POTATO (Solanum tuberosum L.) VARIETIES AT HARAMAYA, EASTERN ETHIOPIA MSc THESIS ABRAHAM GUDETA JUNE 2019 HARAMAYA UNIVERSITY, HARAMAYA
EFFECT OF BLENDED NPS FERTILIZER RATES ON YIELD, YIELD
RELATED TRAITS AND TUBER QUALITY OF POTATO (Solanum
tuberosum L.) VARIETIES AT HARAMAYA, EASTERN ETHIOPIA
MSc THESIS
ABRAHAM GUDETA
JUNE 2019
HARAMAYA UNIVERSITY, HARAMAYA
2
Effect of Blended NPS Fertilizer Rates on Yield, Yield Related Traits and
Tuber Quality of Potato (Solanum tuberosum L.) Varieties at Haramaya,
eastern Ethiopia
A Thesis Submitted to Postgraduate Program Directorate
(School of Plant Science)
HARAMAYA UNIVERSITY
In Partial Fulfillment of the Requirements for the Degree of
MASTER OF SCIENCE IN AGRICULTURE
(HORTICULTURE)
Abraham Gudeta
June 2019
Haramaya University, Haramaya
3
POSTGRADUATE PROGRAM DIRECTORATE
HARAMAYA UNIVERSITY
We hereby certify that we have read and evaluated this thesis entitled “Effect of Blended NPS
Fertilizer Rates on Yield, Yield Related Traits and Tuber Quality of Potato (Solanum
tuberosum L.) Varieties at Haramaya, eastern Ethiopia” prepared under our guidance by
Abraham Gudeta. We recommend that the thesis be accepted as fulfilling the thesis
requirement.
Wassu Mohammed (PhD)
Major-Advisor
Signature
Date
Prof. Nigussie Dechassa (PhD)
Co-Advisor
Signature
Date
As members of the Board of Examiners of the M.Sc. thesis open defense examination of
Abraham Gudeta, we certify that we have read and evaluated the thesis and examined the
candidate. We recommend that the thesis be accepted as it fulfills the requirements for the award
of the Degree of Master of Science in Agriculture (Horticulture).
Chairperson
Signature
Date
Internal Examiner
Signature
Date
External Examiner
Signature
Date
Final approval and acceptance of the thesis is contingent upon submission of a final copy of the
thesis to the Council of Graduate Studies (CGS) through the School Graduate Committee (SGC)
of the candidate’s major school.
4
DEDICATION
This thesis dedicated to my father Gudeta Dida, my mother Joro Nagawo and all my brothers
and sisters for the all-rounded and unconditional support rendered to me for the betterment of my
life.
5
STATEMENT OF THE AUTHOR
First, I declare that this thesis is my bonafide work and all sources of materials used for this
thesis have been duly acknowledged. This thesis has been submitted in partial fulfillment of the
requirements for M.Sc. degree at the Haramaya University and is deposited at the University
Library to be made available to borrowers under rules of the library. I declare that this thesis is
not submitted to any other institution anywhere for the award of any academic degree, diploma,
or certificate.
Brief quotations from this thesis are allowable without special permission provided that an
accurate acknowledgement of the source is made. Requests for permission for extended
quotation from or reproduction of this manuscript in whole or in part may be granted by the
Head of the Department of Plant Sciences or the Dean of the School of Graduate Studies when
the proposed use of material is in the interests of scholarship. In all other instances, however,
permission must be obtained from the author.
Name: Abraham Gudeta
Signature:
Date of submission:
School: School of Plant science
6
BIOGRAPHICAL SKETCH
The author, Abraham Gudeta Dida, was born in Dagam Woreda, Ali doro Keble, North Shoa
Zone of Oromia Regional State in Ethiopia in 1994 G.C. He attended elementary school
education at Seyoum Demisew and high school and preparatory at Gerba Guracha. In 20014
G.C, he joined Mizan-Tepi University and graduated with the Degree of Bachelor of Science in
Horticulture in July 2016 G.C. After graduation, he was employed Mizan-Tepi University as
graduate assistance. Then after one year he joined the School of Graduate Studies Haramaya
University in 2018 G.C to pursue a study leading to the Degree of Master of Science in
Agriculture (Horticulture).
7
ACKNOWLEDGMENTS
First and foremost, I would like to praise and glorify the supreme my family, next to Almighty
God for providing me with the strength and patience that I required to complete the study.
I would also like to express my deepest and heartfelt thanks as well as my most sincere
appreciation and gratitude to my major advisor Dr. Wassu Mohammed and my co-adviser Prof.
Nigussie Dechassa for their keen interest, dedicated and meticulous supervision, for amicably
motivating and scientifically supporting me during the whole period of the study. I also thank
them for genuinely and constructively criticizing my work from the time of inception of the
research work up to its completion and thesis write-up. The visits they made to my research field
on a number of occasions and the scientific discussions I held with them in the research
undertaking were exemplary and worthy of deepest gratitude.
I also remain thankful to all the enumerators who assisted me in data collection with patience,
commitment and dedication. Their cooperation was not on the basis of their material benefit but
is really their own commitment to help me. I am grateful to farm management of Raare site, who
responded to all questions with patience and gave necessary information for this research work. I
would like also to thank for providing me with all the relevant secondary information. Finally I
thank Haramaya University institution, Technical assistance of Horticulture staff for they support
me through their effort.
8
LIST OF ACRONYMS AND ABBREVIATIONS
ECSA Ethiopia Central Statistical Agency
FAO Food and Agriculture Organization
FAOSTAT Food and Agriculture Organization Corporate statistical Database
MoA Ministry of Agriculture
NGO Non-Governmental Organization
PH Power of Hydrogen
SAS Statistical Analysis Software
CIMMYT Centro International de major amento de maize Y Trigo
EIAR Ethiopian Institute of Agriculture Research
Ethio SIS Ethiopian soil information system
IAR Institute of Agricultural Research
LSD Least significant difference
CV Coefficient of Variation
ANOVA Analysis of Variance
MRR Marginal Rate of Return
ETB Ethiopian Birr
NPS Nitrogen, phosphorus and Sulfur
9
TABLE OF CONTENTS
STATEMENT OF THE AUTHOR v
BIOGRAPHICAL SKETCH 5i
ACKNOWLEDGMENTS 7
LIST OF ACRONYMS AND ABBREVIATIONS 8
LIST OF TABLES
11
LIST OF TABLES IN THE APPENDIX xii
ABSTRACT xiii
1. INTRODUCTION
14
2. LITRATURE REVIEW
17
2.1. Botany, Origion and Distribution of potato 17
2.2. Utilization and Economic Importance of Potato 17
2.3. Ecology and Major Production Areas of Potato in Ethiopia 19
2.4. Cultural Requirements 20
2.5. Role of Nitrogen Fertilizer in Potato Productivity and its Nutrition 21
2.6. Role of Phosphorus Fertilizer in Potato Productivity and its Nutrition 22
2.7. Effect of Nitrogen on Crop Phenology Parameters 23
2.8. Effect of Nitrogen and Phosphorus on Potato growth Parameters 24
2.8.1. Number of Main stems 11
2.8.2. Plant Height 11
2.9. Yield Components of Potato and Their Response to NP Fertilizers 25
2.9.1. Tuber Number per hill 26
2.9.2.Tuber Weight and Tuber Size Distribution 27
2.10. Tuber Quality Parameters 27
2.10.1. Specific Gravity 27
10
2.10.2. Dry Matter Content 28
2.11. Importance of sulphur in Combination with other Nutrients 29
2.12. Effect of Sulphur on Yield and Quality of Potato 31
TABLE CONTENTS (Continued)
3. MATERIALS AND METHODS 33
3.1. Description of the Study Site 33
3.2. Description of Experimental Materials 33
3.3. Treatments and Experimental Design 34
3.6.1. Phenology and Growth Parameters 37
3.6.2. Yield Components and Tuber Yield 37
3.6.3. Tuber Quality Related Traits 38
3.8. Data Analysis 40
4. RESULTS AND DISCUSSION 41
4.1. Soil Physico-chemical Properties of the Experimental Site 41
4. 2. Phenology and Growth of potato 42
4.2. 1. Phenology 42
4.2. 2. Growth Traits 35
4.3. Yield Components and Tuber Yield 48
4.3.1. Average Tuber Number and Weight 48
4.3.2. Distribution of Tubers in Different Size Categories 38
4.3.3. Marketable, Unmarketable and Total Tuber Yield 51
4.4. Tuber Quality Related Traits 54
4.5. Partial Budget Analysis 54
5. SUMARRY AND CONCLUSION 59
6. REFERENCE 61
7. APPENDICES 71
11
LIST OF TABLES
Table Page
1 Amount of mineral nutrient contents in seven rates of blended NPS fertilizer set
as combination of treatments
35
2 Selected soil phsico-chemical properties of the experimental site 42
3 Effect of potato variety on days to 50% emergency and maturity at Haramaya
during 2018 cropping season
43
4 Effect of blended NPS fertilizer on days to 50% maturity of potato varieties at
Haramaya during 2018 cropping season
44
5 Interaction effect of blended NPS fertilizer and variety on days to 50 %
flowering of potato at Haramaya during 2018 cropping season
45
6 Effect of variety on growth of potato at Haramaya during 2018 cropping season 46
7 Effect of blended NPS fertilizer on plant height of potato varieties at Haramaya
during 2018 cropping season
47
8 Interaction effect of blended NPS fertilizer and variety on average tuber number
and tuber weight of potato varieties at Haramaya during 2018 cropping season
48
9 Interaction effect of blended NPS fertilizer and variety on large tuber size and
medium size proportion (%) at Haramaya during 2018 cropping season
51
10 Main effect of blended NPS fertilizer and variety on marketable and total tuber
yield at Haramaya during 2018 cropping season
53
11 Interaction effect of blended NPS fertilizer and variety on unmarketable tuber
yield at Haramaya during 2018 cropping season
54
12 Table 12. Percent advantage of marketable tuber yield due to blended NPS
fertilizer over potato production without fertilizer at Haramaya in 2018
55
13 Partial budget analysis of seven rates of blended NPS fertilizer rates in
combination with three potato varieties in Haramaya 2018
46
12
LIST OF TABLES IN THE APPENDIX
Table Page
1 Mean squares from analysis of variance for phenology, growth, yield
components, tuber yield and tuber quality related traits of three potato varieties
as influenced by rates of blended NPS fertilizer at Haramaya in 2018
82
2 Mean values of traits due to potato varieties and rates of NPS fertilizer at
Haramaya in 2018
83
3 Mean marketable total tuber yields of potato due to interaction of varieties and
rates of blended NPS fertilizer at Haramaya in 2018
83
13
Effect of Blended NPS Fertilizer Rates on Yield, Yield Related Traits and
Tuber Quality of Potato (Solanum tuberosum L.) Varieties at Haramaya,
eastern Ethiopia
ABSTRACT
Potato (Solanum tuberosum L.) is an important food and export crop in East Hararghe. The
limiting macro and micronutrients were identified for the production of crops in Haramaya
districts, but the rates of these nutrients for high potato yield are not yet determined. Therefore,
this research was conducted to determine the effect of blended NPS fertilizer rates on yield
related, yield and tuber quality traits of potato varieties, and to estimate economically feasible
blended NPS fertilizer rate for potato production at Haramaya, East Hararghe. The experiment
was conducted as factorial combination of seven rates of blended NPS fertilizer (0, 50, 100, 150,
200, 250,300 kg ha-1) and three potato varieties (Bubu, Belete, and Shangi) in a Randomized
Complete Block Design with three replications. The results revealed that variety and blended
NPS fertilizer had significant effect on crop phenology, growth, tuber yield and yield components
except proportion of medium size tubers not influenced by the two main factors and blended NPS
fertilizer had nonsignificant effect on days to 50% emergence, number of main stem/hill and
proportion of large size tubers. Neither the two main factors (variety and blended NPS fertilizer)
nor their interaction influenced tuber quality related traits. Variety and blended NPS fertilizer
interacted to influence days to 50% flowering, average tuber weight (g), average tuber number,
unmarketable tuber yield, and proportion of small, medium and large size tubers. The highest
marketable tuber yield (30.74 t ha-1) and total tuber yield (32.16 t ha-1) was obtained by the
application of NPS fertilizer at the rate of 300 kg ha-1 which was followed by the application of
250 kg ha-1. Bubu (29.52 t ha-1) and Belete (29.48 t ha-1) produced significantly higher
marketable tuber yield than Shangi variety. The net benefit obtained from Bubu and Belete
varieties was determined by about 72.06 (R2=0.07206) and 81.92% (R2=0.08192), respectively,
and the relationship between rates of NPS fertilizer and the net benefit obtained from potato
production was linear and significant. The highest MRR (marginal rate of return) of 1802.35%
was also obtained from Bubu variety with the application of 50 kg ha-1 NPS fertilizer. However,
the highest net benefit of 166175.5 obtained from Bubu followed by 158899 Birr ha-1 from Belete
varieties with the acceptable MRR of 1434.17 and 760.27%, respectively, due to the application
of highest NPS fertilizer rate of 300 kg ha-1. Therefore, growing of the two varieties at highest
rates of NPS fertilizer could be recommend for producers because of the high economic returns.
Keywords: Crop phenology, Marginal rate of return, Net benefit, Proportion of large, medium
and small size tubers.
14
1. INTRODUCTION
Potato (Solanum tuberosum L.) is consumed worldwide and it one of the most important cold
season vegetables. It is considered as inexpensive and nutritive food security crop, as it produces
more dry matter, protein and calories per unit area and time than the major cereal crops (Rai and
Yadav, 2005). Globally, potato is the third most important food crop in terms of consumption
after rice and wheat (Hielke et al., 2011; Birch et al., 2012; Hancock et al., 2014). The annual
world potato production is estimated to 376 million tons in 2013 (FAOSTAT, 2015). The global
annual production is about 381.7 million tons (FAOSTAT, 2017). In 2013, the Africa’s potato
production reached over 30 million tons (FAOSTAT, 2015).The production of potato in Ethiopia
is in increasing trend where it is concentrated mostly in mid altitudes and highlands of the
country. Potato ranks first among root and tuber crops in Ethiopia both in volume of production
and consumption followed by cassava, sweet potato and yam where smallholder farmers are the
major producers as food, and cash crop (CSA, 2016).
Northwest, Central, Eastern, South Eastern and Southern areas are the dominant potato
production areas in the country. Potato production has shown a spectacular increase during the
past one and a half decades in area of production from 0.16 to 0.3 million hectare, volume of
production from 974 000 thousands MT to over 3 660 000 million MT, and number of growing
households from 1.8 million to over 5 million households (EIAR, 2016). Oromia National
Regional State is a leading producer where potato is used as co-staple food in some zones, such
as East Hararghe (ORARI, 2007). East Hararghe, potato is grown by 52,710 farmers with a total
area of 2,507.12 hectares in 2013/2014 Meher season. The average yield is about 19.3 t ha-1 in
East Hararghe (CSA, 2013).which is by far higher than national average yield of 12.66 t ha-1 in
2015 (CSA, 2017).but not reach to the crop potential (40 t ha-1) at research centres. In Hararghe,
potato is the second most advantageous crop next to khat (Chata edulis) in supporting farmers’
welfare with 759% increase in income over sorghum (Mulatu et al., 2006). Compared to the
other areas of potato production, this area is characterized by export market oriented production
particularly to Djibouti and Somalia (Mulatu et al., 2005; Hirpa et al., 2010).
15
In eastern Ethiopia, potato is not only grown during main cropping season (June to October) but
also it is grown under irrigation in the dry season (December to April) because of low disease
pressure and relatively high prices and in the belg (February to May) season (Eshetu et al,
2007b). Most farmers grow the cultivars with short tuber dormancy period such as Batte, Jarso,
and Dedefa, though considerable numbers of farmers are producing improved varieties.
However, farmers’ cultivars are susceptible to late blight [Phytophthora infestans (Mont.) de
Bary] resistant (Wassu, 2014) and only used for the production under irrigation and belg season
where the disease pressure is low (Dendena, 2013). Therefore, the use of resistant varieties
during meher season is indispensible to obtain high potato yield. Moreover, the introduction of
varieties having short tuber dormancy period and resistant tolerate blight in the region is more
advantageous since the farmers could produce potato throughout the year from farm saved seed
tubers. In this regard, the effort made by Haramaya University to introduce Shangi variety
(resistant to late blight and sprouting of tubers not required more than a month) may favor
farmers of eastern Ethiopia. The variety is under adaptation and yield evaluation process (Potato
Research Program of Haramaya University).
Soil fertility status and management are among other factors that limit the yield potential of
various crops including potato (Benepal, 1967). Potato is naturally a heavy feeder crop. Potato
has high phosphorus requirement for optimum growth and yield; thus, when grown on
phosphorus deficient soils, considerable yield losses are apparent (Dechasa et al., 2003)
Unfortunately, phosphorus is one of the least accessible nutrients in most soil especially under
tropical conditions where low phosphorus availability is a big challenge to agricultural
production (Kochiannet et al.,2004). Nitrogen is another essential element for plant growth and
yield that different cultivars have different rates of nitrogen requirement for maximum tuber
yields (Molerhagen, 1993). Berga et al., 1994) recommended 165/90 N/P2O5 ha-1 as feasible rate
for the central Shewa, and this recommendation has been used as blanket recommendation
throughout the country. In the same way, 146/138 N/P2O5 ha-1 was recommended as economic
and agronomic rate of fertilizer for the highlands of Hararghe (Teriessa,1995).These
recommendations may not work for the current market, soil fertility status, and other climatic
variables.
16
The sources of plant nutrients for Ethiopian agriculture over the past five decades have been
limited to Urea and Diammonium Phosphate (DAP) fertilizers which contain only nitrogen and
phosphorus. Shiferaw, (2014) reported that Ethiopian soils lack most of the macro and
micronutrients that are required to sustain optimal growth and development of crops. The soils in
East Hararghe area were identified deficient not only nitrogen and phosphorus but also sulfur
(ATA, 2014). This indicates that the application of nitrogen and phosphorus do not satisfy the
nutrient requirements of the crops including potato. It has been also reported that the fertilizer
rates used in Ethiopia are below international and regional standards (AGP, 2013). To avert the
situation the Ministry of Agriculture of Ethiopia has been recently introduced a new
blended NPS fertilizer containing nitrogen, phosphorous and sulfur with the ratio of 19% N, 38%
P2O5 and 7% S. This fertilizer is used as a substitute of DAP in crop production system as main
source of phosphorous (MoANR, 2013).
In East Hararghe, particularly at Haramaya, studies on the response of varied potato varieties to
nitrogen and phosphorous containing fertilizers have been conducted. However, the effect of
blended NPS fertilizer on tuber yield and yield related traits of potato varieties resistant to late
blight has not been studied. Moreover, the tuber yield of Shangi variety at varied rates of blended
NPS fertilizer has not been determined. Therefore, it is necessary to conduct research in the area
to assess the response of potato varieties to the newly introduced blended fertilizers and to
identify rate of this fertilizer to obtain both high tuber yield and profit from the production of
potato. This is because, fertilizer requirement of crops varies across locations and economically
feasible fertilizer rate also varies with soil type, fertility status, moisture amount, other climatic
variables, variety, crop rotation, and crop management practices (Zelalem et al., 2009).This
research is therefore, initiated to achieve the following objectives:
o to assess effect of blended NPS fertilizer rate on yield, yield related traits and tuber
quality of potato varieties; and
o to estimate the cost-benefit of blended NPS fertilizer rates for potato production.
17
2. LITRATURE REVIEW
2.1. Botany, Origion and Distribution of potato
Potatoes are a member of the Solanaceae family. Contrary to popular belief the potato is not a
storage root, but rather a specialized underground stem. Potato (Solanum tuberosum L.) plants
produce rhizomes (often called stolon) that have rudimentary leaves and are typically hooked
at the tip. They originate from the basal stem nodes, typically below ground, with up to three
rhizomes per node (Struik, 2007). Tubers, spherical to ovoid in shape, are swellings of the
rhizome. The flesh of the tubers varies in color from white to yellow to blue and the skin varies
from white through yellow to tan and from red through blue. The color of the flesh may or may
not correspond to the color of the skin. The texture of the surface may vary from smooth to net or
russetted (Spooner and Salas, 2006). On the surface of the tuber are auxiliary buds with scars of
scale leaves that are called eyes (Struik, 2007). When tubers are planted, the eyes develop into
stems to form the next vegetative generation
The Potato has its origin in the high lands of South America and was first cultivated in the
Andes in the vicinity of Lake Titicaca near the present border of Peru and Bolivia (Horton,
1987). From Europe, Solanum tuberosum was transported to North America. Solanum tuberosum
may first have been transported from England to Bermuda in 1613 and then from Bermuda to the
North American mainland in 1621, a hypothesis favored by Laufer, (1938) and Hawkes, (1990).
S. tuberosum was present in India by 1610 and mainland China by 1700 (Sauer, 1993). S.
tuberosum was taken to New Zealand in 1769 by Captain Cook and gained agronomic
significance for the native Maori by 1840 (Sauer 1993). Missionaries may have played a crucial
role in the distribution of S. tuberosum from Europe throughout the world (Laufer 1938; Sauer
1993). It was introduced to Ethiopia in 1858 by the German Botanist, Schimper (Pankhurst,
1964).
18
2.2. Utilization and Economic Importance of Potato
Potato (Solonaum tuberosum L.) is the most important food crop, after cereals, in human diet
in developed as well as in developing countries (Wheeler, 2009; Kushwaha et al., 2014). It
exceeds wheat (Triticum aestivum L), rice (Oriza sativa L.) and corn (Zea mays L.) in the
production of dry matter and protein per unit of area (Romero-Lima et al., 2000). It is grown
in about 140 countries, more than 100 of which are located in the tropical and sub-tropical region
(Beukema and Van der Zaag, 1990). The nutritional value of potato tubers is a key factor for its
progressive production, along with the economic benefits that potato cultivation can bring to
developing countries (Van Gijessel, 2005; McGregor, 2007).
The relatively high carbohydrate (82%) and low fat content (less than 1%) of the potato makes
it an excellent energy source for human consumption (WPC, 2003). Moreover, the potato crop
provides more nutritious food per unit land area, in less time, and often under more adverse
conditions than other food crops (Yigzaw et al., 2008; Hirpa et al., 2010). It is said to be one of
the most efficient crops in converting natural resources, labor and capital into a high quality food
with wide consumer acceptance; hence the Ethiopian government has identified as one of the
priority crops of the agricultural growth programmed (EIAR, 2003; Tesfaye et al., 2010).
In Ethiopia, the majority of potatoes produced are used for preparation of different kinds of
traditional foods. Although, there are some food processing industries in the country, none of
them are involved in the processing of potatoes. Moreover, consumption of potato chips is not
common in the country except in the big hotels and restaurants. Small scale potato chips
processors are flourishing in cities and big towns (Elfinesh, 2008). It is a very important food
and cash crop in Ethiopia, especially in the high and mid altitude areas. It has a promising
prospect in improving the quality of the basic diet in both rural and urban areas of the country.
As a food crop, it has a great potential to supply high quality food within a relatively short
period and is one of the cheapest sources of energy. Moreover, the protein from potato is of
good composition with regard to essential amino acids in human nutrition. Potato also has
substantial amounts of vitamins, minerals and trace elements. Such a crop undoubtedly is very
important for countries like Ethiopia, where inadequate protein and supplies of calories are the
apparent nutritional problems (Berga et al., 1994). Furthermore, the production period is about
19
90 days, enabling optimum use of the available agricultural land (Solomon, 1985).
2.3. Ecology and Major Production Areas of Potato in Ethiopia
The natural environment in Ethiopia is very suitable for year round production of potato using
rain-fed and irrigated systems. The main production season for potato in Ethiopia in areas with
altitude higher than 2500 m runs from June to September while the off-season slot starts in April
and ends in August. The altitude between 1800 and 2200 m is suitable for growing seed and table
potatoes in Ethiopia and 70% of the agricultural land is located at that elevation (Bezabih and
Mengistu, 2011).The favorable climate at higher elevations, fertile soils and availability of
irrigation in many areas such as the South-Central Rift Valley provide suitable conditions for
potato (Haverkort et al., 2012; and Asrat, 2014).
Potato (Solanum tuberosum L.) is a weather sensitive crop with a wide variation among cultivars.
It is a crop of temperate climate and it is moderately tolerant to frost (Rezaul Karim et al., 2011).
Potato grows well and produces yields at an altitude of over 1000 metres above sea level,
although some produced cultivars perform well at low elevations ranging from 400 to 2000
metres above sea level in tropical highlands (Levy and Veilleux, 2007). In Ethiopia, the altitude
between 1800 to 2500 metres above sea level is regarded as suitable for seed and ware potatoes
growth (Bezabih and Mengistu, 2011). The highland areas of Ethiopia (defined as land above
1,500 masl) where the potato is generally well suited, cover 44 percent of the nation's area, but
include 88 percent of its population and 95 percent of its cropped area (Grepperud 1996).
There are five major potato production regions in Ethiopia: Central Ethiopia, Eastern Hararghe,
North West Ethiopia, South Ethiopia and Western Ethiopia (Kassa and Beyene, 2001). Which to
gether constitute approximately 83% of the potato farmers in the country (CSA, 2009). The
Eastern area of potato production in Ethiopia mainly covers the Eastern highlands, especially
East Hararghe zone (CSA, 2009). The most important feature of potato production in this region
is that the potatoes produced are market oriented with considerable amounts being exported to
20
Djibouti and Somalia (Adane et al., 2010). In this region, potato is mainly grown under irrigation
in the dry season (December to April) because of low disease pressure and relatively high prices.
The crop is also produced in the belg (February to May) season and the meher (June to October)
seasons (Eshetu et al., 2005b).
Potato is one of the tuber crops growing in Ethiopia. It is grown by approximately 1,197,018
farmers (CSA, 2017). Among African countries, Ethiopia has possibly the greatest potential for
potato production (Firew et al., 2016). At present, potatoes are still widely regarded as a
secondary crop, and annual per capita consumption is estimated at 5 kg. The production of potato
is expanding at a faster rate than other food crops in developing countries, including Ethiopia.
The crop has also proved that it has great potential for adaptation to the diverse growing
conditions of the tropics where the majority of the developing countries are located. According
to CSA, (2017) report potato production area in Ethiopia decreased from 70131.32 ha in 2016 to
66,923.33ha in 2017, but average potato yield ton ha-1 increased in 2017, from 13.5 ton/ha in
2016 to 13.8 ton/ha in 2017.
2.4. Cultural Requirements
Potatoes grow well at a higher soil pH, but scab can be a problem. If it is not practical to
maintain a low pH, scab resistant cultivars must be grown. A well-drained fertile soil with a pH
of 5.5 to 6.5 is necessary. The rate of Nitrogen fertilization is a key consideration in managing
fertility, because excessive applications delay maturity and reduce the partitioning of dry matter
to the tubers, not to mention possible adverse effects on processing quality and on the
environment (Ewing, 1997).
Seed tubers that are plant too deep will be slow to emerge and may be more subject to attack
by various diseases. Very shallow planting of seed tubers may result in inadequate soil moisture
around the seed piece and in production of tubers so close to the soil surface that greening caused
by exposure to light is more of a problem. Planting should be deeper on lighter soils than on
heavy ones. Many growers like to plant seed tubers relatively deep but then cover them with only
a shallow layer of soil. More soil covering will then be added as the plant develops. A good rule
21
of thumb is never to have more than 10 cm of soil above the tip of the developing sprout
(Ngungi, 1982).
Soils should be ridged up along the potato row to provide extra cover for the developing tubers.
This tends to reduce the number of tubers that stick out of the soil and are exposed to light. Even
diffuse light filtering down through the cracks in the soil will cause tubers to turn green and to
develop a bitter flavor. Tubers that turn green in the field are called sun burned and are unfit for
consumption. Secondary benefits of ridging up the soil are that it facilitates harvest and provides
weed control (Thompson and Kelly, 1983).
Generally cultural practices are the first line of defense against potato disease like late blight of
potato. Before planting, growers should take several measures to control late blight. Shifting
planting date of potato is important component in the control of late blight that has received little
attention in Ethiopia. (Bekele and Gebremedhin, 2000).Genetic resistance is one of the best
options for managing disease in potato. There are several potato cultivars with measurable levels
of resistance to late blight that are now part of production systems in different parts of the world.
Nonetheless many susceptible cultivars are still being grown and there are cultural and economic
factors that can restrict adoption of new, resistant ones (Walker et al., 1999).
Bacterial wilt caused by (Ralstonia solanacearum) is also regarded as an important disease
contributing to yield reduction (Mureithi, 2000; Otipa et al., 2003; Kaguongo et al., 2008). It
is considered more problematic than late blight since it has no known chemical control
procedures and many farmers do not know how to control it. While it could be controlled
through crop rotation, however, this is not feasible due to small farm sizes which hinder effective
rotation programmes. The disease has been reported to cause losses ranging between 30-70% at
altitudes ranging 1800-2800 m (Otipa et al., 2003).
2.5. Role of Nitrogen Fertilizer in Potato Productivity and its Nutrition
Nitrogen is the most limiting nutrient in crop production and is higher in concentration than all
other mineral nutrients in most plants (Foth and Ellis, 1996). It makes up 1 to 4 percent of dry
matter of the plant. Nitrogen is taken up from the soil in the form of nitrate (NO3-1) or
ammonium (NH4+). In the plant N combines with compounds produced by carbohydrate
22
metabolism to form amino acids and proteins. Being the essential constituent of proteins, it is
involved in all the major processes of plant development and yield formation. A good supply of
nitrogen stimulates root growth and development as well as the uptake of other nutrients (Brady
and Weil, 2002). Plants obtain readily available N forms from different sources. Potato at the
beginning of its growth requires a lot of available nitrogen. Nitrogen is needed to take up carbon.
Sufficient nitrogen increases both plant growth and leaf surface and tuber size and causes crop to
become tolerant to leaf blot disease (Hassanpanah et al., 2009). Potato is sensitive both to N
deficiencies and excesses. Effective fertility management is critical to profitable production of
potatoes. The crop is highly responsive to N fertilizer, but N fertilizer use efficiency is low
(Rourke, 1985; Porter and Sisson, 1991).
Optimum use of N by plant decreases leaching of nitrogen and improves tuber germination and
steady leaf area. Excess nitrogen at the last stage of growth causes development of stem and
leaves instead of tubers as a result of high amounts of amino acids and amides, not changing to
protein. Excess nitrogen has negative effect on tuber yield and quality; deficiency the
photosynthesis decreases because lower leaves of plant become yellow and falls (Hassanpanah et
al., 2009). According to Hopkins et al. (2008) also reported that Potatoes require a steady supply
of nutrients. Deficiencies or fluctuations of soluble nutrients (especially N) cause poor vine
health, increased pathogen and insect susceptibility, reduced tuber yields, and diminished tuber
quality. Potatoes require high amounts of fertilizer not only because of high nutrient demand, but
also because they have a shallow, inefficient rooting system to explore soil nutrient from wider
surface area.
2.6. Role of Phosphorus Fertilizer in Potato Productivity and its Nutrition
Phosphorus is claimed to be the second most often limiting plant nutrient (Tisdale et al., 1995). It
is an essential component of deoxyribonucleic acid (DNA), the seat of genetic inheritance, and of
ribonucleic acid (RNA), which directs protein synthesis in both plants and animals.
Phospholipids, which play critical roles in cellular membranes, are another class of universally
important phosphorus-containing compounds. For most plant species, the total P content of
healthy leaf tissue is not high, usually comprising only 0.2 to 0.4% of the dry matter (Brady and
Weil, 2002). Plants absorb phosphorus in the form of HPO4-2 and H2PO4 (Tisdale et al., 1995).
23
The physical and chemical properties of soils influence the solubility of phosphorus and its
absorption reactions in soils. These include the nature and amount of soil minerals, soil pH,
cations effect and anion effect, extent of phosphorus saturation, reaction time and temperature,
flooding and fertilizer management (Tisdale et al., 1995). Moreover, availability of phosphorus
from fertilizers may be affected by the soil reaction, the degree of soil phosphorus deficiency,
rate and method of application, needs of the specific crops, certain soil differences. The
maximum availability of phosphorus for plant utilization is known to occur at soil pH between
6.5 and 7.5 (Mengel and Kirkby, 1987).
Phosphorus deficiency is one of the largest constraints to crop production in many tropical soils,
owing to low native content and high P fixation capacity of the soil (Barber, 1995; Fairhust et al.,
1999). P is essential for root development and when the availability is limited, plant growth is
usually reduced. The movement of P in soils is very low and its uptake generally depends on the
concentration gradient and diffusion in the soil near to roots (Marschner, 1995). Biswas, and
Mukherjee, (1993); Miller and Donahue, (1995) and Tisdale et al. (1995) have reported that the
use of P fertilizer becomes imperative because the concentration of P in many soils is very low
and it is also liable to different chemical reactions that make it unavailable to plants. Plants
supplied with adequate amount of P were reported to form good root system, strong stem, mature
early and give high yield whereas plants grown on P deficient soils showed stunted growth, low
shoot to root ratio, poor fruit and seed formation, purpled colored leaves with reddish coloration
of the stem. Biochemically, deficiency causes changes in functions of the plant including
accumulation of sucrose and reducing sugars and sometimes of starch (Rending and Taylor,
1989).
2.7. Effect of Nitrogen on Crop Phenology Parameters
2.7.1. Days to Emergency, Flowering, and Maturity
The variation in emergence among the varieties may be attributed to the phenomenon that days
to emergence are mainly influenced by the physiological age of the tubers, which is a varietal
characteristic, but not by external supply of nutrients such as nitrogen. Mulubrhan (2004) who
stated that emergence depends on the soil condition and stored food in the tubers not by
24
nutrition. The uniform emergence in all N treatments and different among varieties might be
attributed to the fact that germination process is mainly controlled by viability of seeds, adequate
moisture, proper temperature and good aeration and least by soil fertility. Jan et al. (2002) also
stated that embryo grows at the expense of stored food materials and did not require any external
nutrition.
The function of nitrogen is to stimulate plant growth and enlarge leaves and tubers. Such
prolonged vegetative growth may delay reproductive stage. The delaying of days to 50% flower
initiation with the increasing application rates of N might be attributed to the positive effect of N
that stimulated growth and prolonged vegetative phase thus, delaying the reproductive phase of
plants (Tisdale et al., 2003; Khan et al., 2009). Nitrogen fertilizer treatment highly significantly
prolonged both the days to flowering and physiological maturity (Mulubrhan, 2004).
Alemayehu et al. (2015) have also reported the interaction of planting density and nitrogen rates
as significantly influenced days required for flowering at Haramaya. They further justify that
high N fertilizer increased the leaf area which increases the amount of solar radiation intercepted
and consequently prolongs days to flowering. Other researchers also reported similar results in
some other parts of the country (Zelalem et al., 2009; Israel et al., 2012). Furthermore NPS
fertilizer prolonged days to flowering and maturity of different vegetables including potato in
different agro-ecologies (Ayichew et al., 2009; Gebremeskel, 2016; Mekashaw, 2016; Yosef,
2016). Belete variety flowered and matured after 84, and 112 days of planting, respectively,
when potato plants were applied with 272 kg ha-1 of NPS fertilizer (Jemberie, 2017).
2.8. Effect of Nitrogen and Phosphorus on Growth of Potato Parameters
2.8.1. Number of Main Stems
A comprehensive understanding of this concept can be used to manipulate the production of
ware and seed potatoes (Admire et al., 2014a). The general crop performance, harvestable yield
and tuber size are strongly influenced by stem number per hectare (shayanowako et al., 2014).
The number of stems per plant is reported to be under the influence of storage condition of tubers
and number of sprouts (Allen, 1978), physiological age of the seed tuber (Iritani, 1968), variety
(Lynch and Tai, 1989) and tuber size (Harris, 1978; Gulluoglu and Arıoglu, 2009). Iritani et al.
25
(1972) also reported increase in stems per plant with increases in seed size. Beukema, and Zaag,
(2001) reported that the number of main stem arising from a seed is important because it
influences the number and size of tubers at harvest.
Gray and Hughes (1978) observed close relationships between the number of main stems or
aboveground stems and total yields and graded tuber yields. These investigators claimed that
high stem number per plant favored high tuber yield through effect on haulm growth and tuber
number per plant. Hassanpanah et al., (2009) also observed main stem number per plant had
positive correlation with marketable tuber weight. Despite the fact that stem density is one of the
most important yield components in potato; it was not significantly influenced by mineral
nutrients. This could be due to the fact that the trait is much influenced by the inheritance of the
potato crop (Mulubrhan, 2004; Zelalem et al., 2009). This showed a mix picture when suggestion
from Hossain et al., (2003) and Hassanpanah et al.(2009) who reported the increase in stem
number due to applying nitrogen fertilizer is taken into account.
2.8.2. Plant Height
Plant height increased with rate of fertilizer application, this could be attributed to the enhanced
availability of nutrients to the crop which may have resulted in increased photosynthetic
efficiency and increased metabolic activities of the plant with an increase in fertilizer level.
Sharma et al. (2014) reported that plant height increased with increasing fertilizer levels of
nitrogen and phosphorus. Jamaati-e-Somarin et al. (2009) and Yibekal (1998) have also reported
that, the highest rate of 200 kg N ha-1 gave the highest plant height of potato, as it was observed
in the present experiment that application of the highest nitrogen and phosphorus rate gave the
highest plant height (71.6cm) than those of other rates NPS fertilizer applied. Mulubrhan (2004)
and Zelalem et al. (2009) have also reported that increasing application of nitrogen and
phosphorus highly significantly increased the height of potato plants. Plant heights and leaf
numbers increased as rates of NPS fertilizer application increased on other vegetable crops
including cabbage, onion and garlic (Yayeh et al., 2017). Additionally Sulfur plays an essential
role in chlorophyll formation and many reactions of living cells Tisdale et al. (1995).
26
2.9. Effect of Nitrogen and Phosphorus on Yield Components of Potato
Fertilizer responses of crops vary with the crop varieties used and climatic conditions of the
production areas (Singh, 1993 and Tisdale, 1995). In this regard, various researches have been
conducted throughout Ethiopia with the objectives of determining the fertilizer requirements of
potato. An experiment conducted on clay soil in the eastern part of Ethiopia indicated that
application of 87 kg N and 46 kg P2O5 per hectare was needed for optimum yield of potato
(Beyene and Getu, 1998).
According to Bereke Tsehai (1988) application of 150/66 kg ha-1 of N/P2O5 under rain-fed
condition resulted in a yield advantage of 32% over the unfertilized control. According
to Mulubrhan (2004), the application of 165 kg N ha-1 and 90 kg P2O5 ha-1 is needed for
optimum potato production on vertisols of Mekelle area. Zelalem et al. (2009) found in their
study conducted on response of potato to different fertilizer levels under rain fed highland
situation at Deber Berhan area and 207 kg N ha-1 and 90 kg P2O5 ha-1 gave optimum tuber yield.
2.9.1. Tuber Number
Nitrogen application to potatoes before tuber initiation increases the number of tubers per plant
and mean fresh tuber weight (Kanzikwera et al., 2001). Sharifi et al. (2005) and Zelalem et al.
(2009) also reported that there was a significant tuber number increase in response to N
application. Similarly, Jenkins and Mahamood (2003) observed that the number of tubers varied
considerably as a result of N fertilization, and doubled when N level was increased to higher
levels.
Shahzad et al. (2010) in their research on yield and yield component of potato tuber as affected
by nitrogen fertilizer and plant density showed that there was a significance difference in number
of tubers per m2 with in different rates of nitrogen. The authors stated that there was an increase
in number of tubers with increasing nitrogen rates up to 160 kg N ha-1 beyond which the result
showed a decrease in number of tubers. The highest tuber number of 96.83 and the lowest of
72.52 per m2 were recorded at 160 and zero kg N ha-1, respectively.
27
Mulubirhane (2004) in his research on the effects of nitrogen, phosphorus, and potassium
fertilization on the yield and yield components of potato stated that there were highly significant
differences in total tuber number due to the increased application of N and P. Increasing the
application of N from 0 to 165 kg N ha-1 increased total tuber number per hill significantly from
8.44 to 9.84. Zelalem et al. (2009) in their research on response of potato to different rates of
nitrogen and phosphorus fertilization indicated nitrogen fertilization had a significant effect on
tuber number of potato. The result also showed that increasing the level of N increased the
number of tubers. Comparing to the zero level of N 207 kg N ha-1 had 32.9 % more number of
tubers. Increasing the N level from 0 to 207 Kg ha-1 increased the number of tubers per hill from
11.49 to 15.27.
2.9.2. Average Tuber Weight and Tuber Size Distribution
Tuber weight is reported to be affected by variety and growth conditions. Environmental
factors that favor cell division and cell expansion such as mineral nutrition, optimum water
supply, etc. were reported to enhance tuber size (Reeve et al., 1973). The result of a study
conducted by Dela Morena et al. (1994) showed that variation in tuber yield due to Nitrogen
treatments were related to the tuber weight increment. Similarly, other studies indicated that
the potato yield component most affected by N and K application was the mean tuber weight
(Harris, 1978; Giardini, 1992). Sharma, and Arora, 1987 from their investigations on the
effect of mineral nutrition on size categories of the potato tuber, showed that increase in the
yield of tubers with applied N and K nutrients was associated with increase in the number of
tubers in the medium and large grades at the expense of small tubers.
Furthermore application of N has been reported to increase the size of tubers (Reddy and Rao,
1968; Herlihy and Carroll, 1969). This was attributed to the increase in the weight of individual
tubers. Sharma and Arora, 1987 indicated that the increase in the weight of tubers with the
supply of fertilizer nutrients could be due to more luxurious growth, more foliage and leaf area
and higher supply of phtosynthates that helped in producing bigger tubers resulting in higher
yields. N and K application were also noted to extend the canopy life there by prolonging the
duration of tuber bulking (Harris, 1978; Peter and Hruska, 1988).
28
2.10. Tuber Quality Related Traits Parameters
2.10.1. Specific Gravity
According to Warren and Woodman, (1974) specific gravity has been considered the most
practical index of mealiness in potatoes. Similarly, Tesfaye et al.( 2013) reported that specific
gravity is the measure of choice for estimating dry matter content (DMC) and starch content
(SC) and ultimately for determining the processing quality of potato varieties. Potatoes of high
dry matter contents, more typically expressed as high specific gravity, are important in
processing industry in terms of finished product yield, oil uptake and quality (Sayre et al. 1975).
Painter and Augustine, (1976) and Kleinkopf et al. (1981) reported that the specific gravity of
tubers decreased with increasing rates of N fertilizer. Similar result was reported by (Mulubrhan,
2004) that increasing the application of N from 0 to 165 kg ha-1 reduced specific gravity from
1.076 to 1.069.
On the other hand, Robert and Cheng (1988) and Simret et al. (2010) noted that non-significant
difference in specific gravity of tubers due to nitrogen treatment. Conflicting results have been
reported regarding the effect of P fertilization on tuber specific gravity of potato. Human (1961)
noted an increase in specific gravity in response to an increase in applied P. However, Zandstra
et al. (1969) reported a reduction in specific gravity as the rate of phosphorus fertilizer increased.
As opposed to the above findings, Lujan and Smith, (1994) and Zelalem et al. (2009) reported
non-significant effect of phosphorus on the specific gravity of tubers. Similarly Adhikari and
Sharma (2004) and (Dubetz and Bole 1975) reported that high levels of P did not influence
specific gravity.
2.10.2. Dry Matter Content
Dry matter is one of the important traits after yield, since the genotypes, which have more dry
matter percentage have more importance for the industrial, economical purposes and also storage
property. The dry matter content of potato tubers determines suitability for chip processing
purposes by influencing the chip yield, texture flavor, final oil content and process efficiency
(Kumlay et al., 20002; Kaber et al., 2001). Potato chips processing requires tubers with dry
matter content of greater or equal to 20% and specific gravity of greater or equal to 1.080
29
(Kabira and Lemaga, 2006). No consistent effect of phosphorus fertilization on the nitrogen
containing components of potato tubers has been observed. Mulder and Bakema (1956) have
found that non-protein nitrogen content was higher with phosphorus deficiency, while
Marchenko (1959) has found that P and K fertilization had little effect on nitrogen content.
Kandi (2011) reported a reduced percent dry matter of potato tubers as nitrogen rates increased.
Similar findings were reported by Wilcox and Hoff (1970) and Painter and Augustine (1976).
Similarly, Asefa (2005) has indicated that increasing rate of nitrogen and phosphorous
application significantly decreased specific gravity and dry matter content of potato tuber. Other
finding reported by Cucci, and Lacolla (2007) that dry matter percentage increased shifting from
the control to the application of 200 kg N ha-1 and 50 kg P ha-1 from 23.0 to 26.2% and decreased
at the highest N level, without any difference being observed with the change in the P rate.
Additionally,(sparrow et al., 1992) who have observed non-significant reduction in percent dry
matter of tubers due to increased P application and (Zelalem et al., 2009), have also, suggested
that phosphorus fertilization did not significantly influence tuber specific gravity and dry matter
content.
2.10.3. Starch Content
Starch content represents dry matter content of potatoes (Hogy and Fangmeier, 2009); therefore,
the variety and plots that produced tubers with highest dry matter content also had highest starch
content. Positive linear correlations among tuber specific gravity, dry matter and starch content
have been reported by different researchers (Burton, 1966; Schippers, 1976). Accordingly, the
observed differences in starch content of tubers among different varieties could be related to
differences in specific gravity. The relationship between specific gravity, dry matter and starch
contents of potatoes has been developed by several workers and associations (Fitzpatrick et al.,
1969; Kleinkopf et al., 1987; Hassel et al., 1997). Similarly, the relationship among internal
tuber quality traits has been found to vary with variety, location, season and year of cultivation
(Verma et al., 1972).
2.11. Importance of Sulphur in Potato Production
2.11.1. Role of Sulphur in Combination with other Nutrients
30
A number of experiments have demonstrated that sulphur fertilization significantly changes the
chemical composition of crops. The availability of sulphur determines the efficient use of
nitrogen by plants and consequently affects plant composition and quality (Krauze, and Bowszys
2000; Wielebski and Muśnicki, 1998a; Podleśna, 2003). Nitrogen content in tested plants is
significantly modified by the content of sulphur in soil available to plants. (Koter and Grzesiuk,
1966) demonstrated that fertilization with calcium sulphate increased the content of protein
nitrogen, which indicated better uptake of nitrogen by red clover and the total nitrogen content in
plants also increased. Lack of sulphur did not inhibit nitrogen uptake by plants, and it was
accumulated in non-protein compounds Koter, and Grzesiuk, 1966. Similar findings were made
by (Uziak, and Szymańska, 1969; Goźliński, 1970a; Uziak, and Szymańska, 1987), who, having
applied increasing doses of sulphur in the form of potassium sulphate, achieved an increase in
the content of protein nitrogen in harvested crops.
Sulphur starvation limited the accumulation of Protein nitrogen in crops, but increased the
content of asparagines, glutamine and aspartic acid in leaves. The researchers indicated that
legume plants could bind large amounts of nitrogen if the level of supplied sulphur is sufficient.
The most important impact of sulphur on plant growth is observed for plants growing on soils
rich in bioavailable nitrogen. Sulphur deficiency results in inhibited photosynthesis, and this is
reflected in an increased content of non-protein nitrogen. In plants suffering from severe sulphur
starvation this form of nitrogen accounted for up to 70% of the total nitrogen content, while in
plants sufficiently supplied with sulphur protein nitrogen dominated. This indicates that role of
sulphur in protein synthesis (Grzesiuk, 1965). Lack of Sulphur limited bioassimilation of
nitrogen, promoting an increase in the concentration of nitrate nitrogen and organic non-protein
nitrogen (Koter and Benedycka, 1984).
A study carried out by (Pyś and Pucek, 1993a, c) revealed that fodder rye, oats, wheat and barley
grown near sulphur land sites contained a high proportion of protein nitrogen to total nitrogen,
suggesting the high nutritional value of crops. The mean total nitrogen content was 1.13-1.73%
d.m. for rye, 1.15-2.05% d.m. for wheat, and 1.83-2.36% d.m. for barley. The use of sulphur for
plant fertilization generally promotes an increase in the total nitrogen content, as indicated by
(Koter and Grzesiuk, 1966; Seidler 1975; Uziak and Szymańska, 1987; Koter and Benedycka
1984; Wielebski and Muśnicki 1998b; Barczak and Nowak, 2010; Wielebski 2011). Sulphur
31
fertilization enhances the content of exogenous amino acids, in particular the component
containing amino acids: methionine, cysteine and cysteine dimmer being cysteine (Horodyski,
krzywińska, 1979). This was confirmed in studies by (Barczak, 2010), who found that sulphur
fertilization, in comparison to non-fertilized (controls), usually caused a significant increase in
the content of most amino acids in proteins, as well as the indicators of protein biological value,
i.e. chemical store index (CSI) and essential amino acids index (EAAI).
Sulphur fertilization significantly increased the indices of protein nutritional value net protein
uptake (NPU), biological value (BV) and protein efficiency ratio (PER) of spring barley kernels.
The analysis of index values demonstrated the leading role of sulphur in maintaining a positive
nitrogen balance in experimental animals, improving the efficiency of animal feeding. Sulphur
fertilization induces changes in the content of total sulphur and sulphates in plants. Generally, it
increases the content of total sulphur, organic sulphur and sulphates (Koter, and Grzesiuk, 1966;
Babuchowski, 1971; Uziak, and Szymańska, 1979; Benedycka 1983; Uziak, and Szymańska,
1987; Krauze, and Bowszys, 2000; Podleśna, 2004; Barczak, and Nowak 2015).
Plants grown under conditions of low sulphur supply without sulphur fertilization contain low
amounts of total sulphur and trace levels of sulphates. A negligible content of inorganic sulfur in
this case is a good indicator of sulphur starvation in plants Grzesiuk, 1965. Sulphur
supplementation has a positive effect on crop quality by increasing the content of organic sulphur
compounds. At good levels of sulphur supply to plants, the share of sulphates in different
vegetative organs may reach 50-80% of its total level, but its large share has no longer any
positive or negative effects on plant growth. When the supply of sulphur was insufficient, the
content of total sulphur decreased to about 0.1% in straw and to 0.05-0.07% in stems. Under
conditions of sulphur shortage, the intensity of its uptake by roots and transport to aerial parts
were much higher than in sufficiently nourished plants (Goźliński, 1965). Seidler 1975 observed
a clearly antagonistic interaction between chlorine and sulphur. In all experiments, an addition of
chlorine caused a reduction in the content and uptake of sulphur by plants, indicating the
inhibitory effect of chlorine on sulphur uptake. The content of sulphur in protein, and thus the
amount of deficient sulphur-containing amino acids, evidently increased when plants were
fertilized with potassium sulphate (Benedycka, 1983).
32
2.11. 2. Effect of Sulphur on Yield and Tuber Quality of Potato
Genetically make up has great influence on yield and quality of potato tubers. Various varieties
of potato having wide variation in their yield potential and quality attributes have been evolved
(Marwaha et al., 2010). These varieties further show variation in their attributes under different
agro climatic conditions. The influence of location and cultivars on quality of potato tubers have
been reported by researchers (Uppal, and Paul, 2001; Kumar et al., 2003). Sulphur is one of
sixteen essential nutrient elements and fourth major nutrient after NPK, required by plants for
proper growth and yield as it is known to take part in many reactions in all living cells Sud, and
Sharma, 2002. Sulphur deficient plants had poor utilization of nitrogen, phosphorus and potash
and a significant reduction of catalase activities at all age (Nasreen et al., 2003).
Intensive cropping and use of high-grade fertilizers have caused the depletion of sulphur in soils.
Decrease in tuber dry matter yield and concentrations of dry matter, starch and essential amino
acids particularly cysteine and leucine were observed with sulphur deficiency Eppendorfer and
Eggum, 1994a; Petitte and Ormrod, 1988. Sulphur has a direct effect on soil properties as it
may reduce Ph which improves the availability of microelements such as Fe, Zn, Mn and Cu as
well as crop yield and its related characteristics (Tantawy et al., 2009). The need of application
of sulphur along with its beneficial effects on yield and quality has been reported by earlier
workers (Chettri et al., 2002; Prakash et al., 1997; Singh et al., 1995). Sud and Sharma 2000 who
reported that increase in tuber yield with increasing sulphur levels may be attributed to its role in
better partitioning of the photosynthesis in the shoot and tubers. Similarly, Lalitha et al.
2002 have also reported significant effect on grade wise tuber yield and increase in bulking rate
with sulphur application. But heavy applications of sulphur can result in yield reductions Eddins,
1934. These findings are also in agreement with those of (Nasreen et al., 2007) in onion.
Quality parameters, i.e., dry matter, specific gravity, total sugar content, starch content were
observed and found that they were differed significantly with potato varieties. Ramamurthy, and
Devi, 1982 also reported significant increase in dry matter content in tuber with sulphur
application. However, they did not find any significant effect on specific gravity, starch and total
sugar content. Sulphur deficiency reduced the starch content of potatoes Eppendorfer, and
33
Eggum 1994b. (Singh et al., 1995) also found significant increase in dry matter content in
potato tuber with sulphur application.
3. MATERIALS AND METHODS
3.1. Description of the Study Site
The experiment was conducted on the end of June 2018 under rain fed condition at Raare,
Haramaya University’s research field.The University is located at latitude of 9o 24‟10.8‟‟ N,
longitude of 42o 3‟30.07‟‟E and at altitude of 2006 meter above sea level (m.a.s.l) (Habtamu et
al., 2016). Agro-ecologically the area is classified as semi-arid tropical belt of eastern Ethiopia
and is characterized by a sub-humid type of climate. Data recorded from meteorology station
located at Haramaya university, indicates that, the mean annual (2005-2014) rainfall of the area
is about 839.9 mm. The study area is characterized by a bimodal rainfall distribution pattern. The
short rainy season locally, called Badheessa, usually starts in March and extends to May, while
the main/long rainy season, called Ganna, stretches from end of June to September (Kibebew,
2014). The mean annual temperature is 16.9oC with mean minimum and maximum temperature
of 3.8 and 25oC, respectively. The mean relative humidity is 50%, varying from 20 to 81% and
the soil type of the area is well-drained deep alluvial sandy loam that contains 14 g/kg organic
matters, 1.14 g/kg total nitrogen, 0.01g/kg available phosphorus, 0.47 g/kg total potassium and
pH of 7.2 (Tekalign, 2013) and percent sand, silt, and clay contents of 63, 20, and 17,
respectively (Simret, 2010).
3.2. Description of Experimental Materials
Three potato varieties, namely Bubu (CIP-384321.3), Belete (CIP-393371.58) and Shangi were
used in this experiment. Variety, Bubu was released by Haramaya University in 2011 and said to
34
be adapted to the altitude of 1650-2330 m.a.s.l., with annual total rain fall of 700-800 mm. Bubu
is high yielding and resistant to late blight (MARD, 2012). Bubu is a medium maturing variety
(99 days to maturity) and had a yield of 32-40 and 25-35 t/ha at research and farm field,
respectively. Belete was released in 2009 by Holeta Agriculture Research Center and it was
recommended for mid and high land areas (1600 to 2800 m.a.s.l.) and had a yield potential of
47.2 and 33.8 t/ha at research and farmers field, respectively. Belete has large tuber size and
resistant to late blight. Shangi is recently introduced as resistant variety to late blight disease and
having short tuber dormancy period. The variety was evaluated for three cropping seasons of
which the two and one experiments were under irrigation and rain fed conditions, respectively.
The variety produced average total and marketable tuber yields of 35.47 and 33.02 t ha-1,
respectively. It has tuber dormancy period of one month and evaluated as moderately resistant
variety to late blight disease at Haramaya condition in 2017 (Msc Thesis of Haramaya University
student).
3.3. Treatments and Experimental Design
The experiment was consisted of three potato varieties (Bubu, Belete and Shangi) and seven
rates of blended NPS fertilizer (0, 50, 100, 150, 200, 250 and 300 kg ha-1). The rates of blended
NPS fertilizer were arranged as the substitute of DAP fertilizer at the rate of 200 kg (92 kg P2O5)
ha-1 that was used for potato production as recommendation of Haramaya University. The total
quantity of NPS fertilizer was applied at the time of planting at the depth of 10 cm below the
seed tuber. The recommended Urea (100 kg ha-1) fertilizer by Haramaya University was applied
7-10 cm away from the plant as two side dressings for in split application (50% and 50% at 30
and 50 days after planting, respectively) uniformly on all plots except the control. The rates of
fertilizer and amount of mineral nutrient contents in seven levels of blended NPS fertilizer are
presented in (Table 1).
The experimental design was randomized complete block design (RCBD) with three replications
in factorial arrangements. Each treatment combination was assigned in one plot of each
replication with the plot size of 3.60 x 4.50 meters (16.2 m2). The spacing between plants in a
row and between rows was 0.3 and 0.75m, respectively, in which one plot was consisted of six
rows each with 12 plants and a total of 72 plants per plot. Well sprouted seed tubers of potato
35
were planted at the spacing of 75 cm between rows and 30 cm between plants. The spacing
between plots and blocks was one meter and one and half meters, respectively. Other cultural
practices like weeding, earthing up, and cultivation and plant protection methods are done
uniformly for all experimental plots as recommendation of Haramaya University and EIAR
(2007) for the crop.
Table 1. Amount of mineral nutrient contents in seven rates of blended NPS fertilizer set as
treatments
No.
Blended NPS
fertilizer rate
kg ha-1
Nutrient contents from blended
NPS fertilizer kg ha-1
N from
Urea kg ha-1 Total
N kg ha-1 N P2O5 S N
1 0 0 0 0 0 0
2 50 9.5 19 3.5 46 55.5
3 100 19 38 7 46 65
4 150 28.5 57 10.5 46 74.5
5 200 38 76 14 46 84
6 250 47.5 95 17.5 46 93.5
7 300 57 114 21 46 103
3.4. Experimental Procedures
Land preparation: Land was ploughed to a depth of 25 to 30 cm by a tractor; then after it was
leveled and ridges were made by hand.
Planting: A Medium sized (39-75 g) and well sprouted seed tubers were planted at the sides of
the ridges at the end of June, 2018 during starting of the rainy season. The tubers were planted at
5 cm depth as recommended (Mahamood et al., 2001).
Other cultural practices: weeding and cultivation (earthing up) were done at the appropriate
time to facilitate root, stolon and tuber growth.
Harvesting: When the plants reached physiological maturity or when yellowing or apparent
senescence was observed on the lower leaves, the haulm was mowed two weeks before
harvesting to check tuber periderm to avoid bruising and skinning during harvesting and
36
postharvest handling. The plants growing in the two border rows as well as those growing at both
ends of each row was not harvested as experimental materials to avoid edge effects.
3.5. Soil Sampling and Analysis
A soil sample was taken in zigzag pattern before planting randomly from the experimental site at
a depth of 0-30 cm using an auger at the interval of 5-10 meters. The sample was mixed
thoroughly to produce one representative composite sample. About one kilogram of composite
sample was taken using polyethylene bag and was given to Haramaya University Soil
Laboratory. The composite soil sample was analyzed for selected physicochemical properties
mainly soil texture (sand, silt and clay %), soil pH, total nitrogen (N), available sulphur (S),
organic carbon (OC), available phosphorus (P), Exchangeable potassium (K) ,Electrical
conductivity and cations exchange capacity (CEC) (c mol kg-1) using the appropriate laboratory
procedures.
Total N in the soil was determined by the Kjeldahl method (Dewis and Freitas, 1975). Organic
carbon content of the soil was determined by reduction of potassium dichromate by organic
carbon compound and determined by reduction of potassium dichromate by oxidation
reduction titration with ferrous ammonium sulfate (Walkley and Black, 1934). Particle size
distribution was determined by hydrometer method (FAO, 2008). Available P was determined
by the Olsen's method using a spectrophotometer (Olsen et al., 1954). Cation exchange
capacity (CEC) was determined after saturating the soil with 1N ammonium acetate
(NH4OAc) and displacing it with 1N NH4OAc (Chapman 1965). The pH of the soil was
determined using 1:2 (weight volume-1) soil to CaCl2 solution ratio and a glass electrode
attached to digital pH meter (FAO 2008). Available sulfur (S) was measured using turbic metric
method (EthioSIS, 2014).
37
3.6. Data Collection and Measurements
Data on crop phenology, yield, and yield components was collected on plot basis while growth
and tuber quality related traits was collected from sample plants and tubers, respectively. The
data collection and measurements was accomplished as per the procedures for standard
evaluation trials of advanced potato clones established by the National Potato Research Program
and International Potato Center (CIP, 2010). The description of data collection and
measurements for each trait is presented in subsequent sub-titles as follows.
3.6.1. Phenology and Growth Parameters
Days to 50% emergence: It was recorded when 50% of the plants in each plot sprouted and
emerged.
Days to 50% flowering: It was recorded by counting the number of days from planting to
50% of the plant populations in each plot produced flowers.
Days to 50% maturity: It was recorded by counting the number of days from planting to
haulms (vines) of 50% of the plant population becomes yellow or starting senescence.
Plant height (cm): The height of 10 randomly selected plants from the central rows was
measured at physiological maturity stage from ground surface to the tip of the main stem and
averaged to get the mean plant height.
Stem number per hill: The total numbers of main stems that arose from the ground was counted
using five randomly selected plants from the central rows in each plot and the mean number
of stem per hill was calculated. Only stems arising from the mother tuber was considered as main
stems.
3.6.2. Yield Components and Tuber Yield
Average tuber weight (g): It was recorded by dividing total fresh weight of tubers by the total
number of fresh tubers per plot.
38
Tuber number per hill: Mean number of tubers produced from the middle rows, was counted
at harvest and expressed as number of tubers per hill.
Marketable tuber yield (t ha-1):
Mean weight of marketable tubers produced from the middle rows, was recorded at harvest by
weighing tubers which were healthy and greater than 20g. The value were taken in kg/plot and
converted to t ha-1.
Unmarketable tuber yield (t ha-1):
Mean weight of unmarketable tubers produced from middle rows was recorded at harvest and
those rotten, turned green and less than 20g, were considered to determine unmarketable tuber
yield, (kg/plot) and converted in to t ha-1.
Total tuber yield (t ha-1):
It was recorded as the sum of both marketable and unmarketable tuber yields. The total tuber
yield (kg/plot) was weighed and converted to t ha-1.
Tuber size grades (%):
Tuber size distribution in weight (%): it is the proportional weight of tubers size categories
which was taken at harvest. All tubers from plants in the central rows of each plot were
categorized into small (< 39 g); medium (40-75 g), and large (> 75 g) according to Lung’aho et
al. (2007). Then each of these categories was counted, and the proportion of the weight of each
tuber category was expressed as a percentage.
3.6.3. Tuber Quality Related Traits
Tuber dry matter content (%): five fresh tubers were randomly selected from each plot
and washed, weighed and sliced at harvest, sun dried for seven days and further dried in an
oven at 75 0C for 48 hours until a constant weight will be obtained. Finally, dry matter percent
39
was calculated according to the formula given by William and Woodbury, (1968).
𝐃𝐫𝐲 𝐦𝐚𝐭𝐭𝐞𝐫 (%) =weight of sample after drying (g)
initial weight of sample (g) 𝑥100
Specific gravity of tubers (gcm-3): This was determined by the weight in air/weight in water
method. Five kg tubers of all shapes and sizes were randomly taken from each plot. The selected
tubers were washed with water. The samples were then be first weighed in air and then re-
weighed suspended in water. Specific gravity was then calculated using the following formula
(Kleinkopf et al, 1987). Specific gravity of tubers (gcm-3) was determined using the method
described by Fong and Redshaw, (1973) as:
𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐆𝐫𝐚𝐯𝐢𝐭𝐲 =weight in air
weight in air – weight in waterx100
Total starch content (g/100 g): Percentage of starch in tubers was calculated from the specific
gravity where specific gravity. Starch (% or g/100 g) =17.546 +199.07 × (specific gravity-
1.0988) (Smith and Talburt, 1959as cited by Yildrim, and Tokuşoğlu, 2005).
3.7. Partial Budget Analysis
Partial budget analysis was carried out as per the methodology described in CIMMYT (1988).
Data like, cost incurred for buying blended NPS and Urea fertilizers labor cost for application of
fertilizers, cultivation and harvesting and the price of the marketable yield of potato varieties
after harvest was taken in to account to undertake cost-benefit analysis. The partial budget
analysis was generally carried out on the basis of the formula developed by CIMMYT (1988) as
follows.
Gross marketable tuber yield (kg ha-1) (MTY): is marketable tuber yield of each treatment per
hector.
Adjusted yield (AjY): is the average yield adjusted downward by a 10% to reflect the difference
between the experimental yield and yield of farmers.
AjY = AvY- (AvY*0.1)
40
Gross field benefit (GFB): It was computed by multiplying field/farm gate price that farmers
receive for the crop when they sale it as adjusted yield.
GFB = AjY*field/farm gate price for the crop
Total cost: is the cost of fertilizers and other treatments for the experiment. The costs of other
inputs and production practices such as labor cost for land preparation, planting, weeding, and
harvesting was considered remain the same or considered as insignificant among treatments.
Net benefit (NB): was calculated by subtracting the total costs from gross field benefits for each
treatment.
NB = GFB – total cost
Marginal rate of return (MRR %): was calculated by dividing change in net benefit by change
in cost.
X 100
Where; MRR = Marginal rate of return in percent, ∆NB and ∆TC= change in net benefit and
change in total cost, respectively.
3.8. Data Analysis
All the measured parameters are subjected to analysis of variance (ANOVA) appropriate
to factorial experiment in RCBD according to the General Linear Model (GLM) of Gen
Stat 16th edition (GenStat, 2016) and the interpretations was made following the procedure
described by Gomez and Gomez (1984). Least Significance Difference (LSD) test at 5%
probability level was used for mean comparison following the significant differences results
from the ANOVA.
41
4. RESULTS AND DISCUSSION
4.1. Soil Physico-chemical Properties of the Experimental Site
The results of the laboratory analysis of some selected soil physical and chemical properties of
the experimental site before planting are presented in Table 2. The soil textural class of the
experimental site was identified as clay soil with a particle size distribution of 74.8, 22.65 and
2.53% clay, silt and sand, respectively. The pH of the soil was 8.4, which could be categorized
under moderate alkaline (Tekalign, 1991). The soil of the study site had 1.4% of organic carbon
(OC), which could be classified as low according to the rating of Tekalign (1991), indicating low
potential of the soil to supply nitrogen to plants through mineralization of organic carbon.
Tekalign et al. (1991) has classified soil total N content of < 0.05 as very low, 0.05-0.12% as
poor, 0.12-0.25% as moderate and > 0.25% as high. According to this classification, the soil
sample of the experimental site was found to have moderate level of total N (0.23%) indicating
that the nutrient to be a limiting factor for potato production in the study area.
Indicative ranges of available phosphorus have been established by Olsen et al. (1954) classified
available phosphorus <5 mg kg-1 as very low, 5-15, 15-25 and >25 mg kg-1 as low, medium and
high, respectively. Thus the soil of experimental site was considered as low in available
phosphorus content which was 8.8 mg kg-1. The low phosphorus content of the soil is probably
attributed to high phosphorus fixing capacity of the soil (Wakene et al., 2002). Such properties
indicate that the experimental soil has some limitation with regard to its use for crop production.
The findings signify that the soils require external application of nutrients according to
42
recommendation for the crops grown. The analysis for available sulfur also indicated that the
experimental soil had values of 20.0 mg/kg which was low according to Ethiosis (2014).
London (1991) classified that top soil having CEC greater than 40cmol (+) kg-1 are rated as very
high and 25-40 cmol (+) kg-1 as high, while) 15-25, 5-15 and <5 cmol (+) kg-1 of CEC soil are
classified as medium, low and very low, respectively., According to this classification, the soil of
experimental site had high CEC, which was 38.36 cmol (+) kg-1, indicating its high capacity to
retain cations. The soils with high CEC are suitable for potato production. High CEC coupled
with light texture such as clay loam soil is believed to be suitable for crop production (Manjulav,
Nathan. 2009). According to Hazelton and Murphy (2007), who described that soil salinity effect
below 2.0 ds /m is mostly negligible for most crops thus the soil of experimental site had no
salinity problem as the electrical conductivity of the soil was about 0.76 ds/m (Table 2).
Table 2. Selected soil phsico-chemical properties of the experimental site
Parameter Values Rating Reference
Soil texture Clay (%) 74.82 Silt (%) 22.65
Sand (%) 2.53
Textural class Clay
Electrical Conductivity (ds/m) 0.76
PH (1:2.5 H20) 8.4 alkaline Tekalign (1991)
Total N (%) 0.23 Medium Tekalign (1991)
Organic carbon (%) 1.4 Low Tekalign (1991)
CEC [Coml.(+) kg-1 soil] 38.4 High London (1991)
Available phosphorus (mg/kg) 8.8 Low Cottenie (1980)
Available Sulfur (mg/kg) 20 Low Ethiosis (2014)
Exchangeable Potassium cmol.(+) /kg soil 0.48 Medium FAO (2006)
43
4. 2. Phenology and Growth of potato
4.2. 1. Phenology
All phenology traits viz. days to 50% emergence, flowering and maturity were significantly
influenced by variety, and blended NPS fertilizer had significant effect on days to 50% flowering
and maturity. The interaction of variety x NPS fertilizer significantly influenced days to 50%
flowering, but the two main factors interaction had nonsignificant effect on days to 50%
emergency and maturity (Appendix Table 1).
Shangi had significantly delayed days to 50% emergence and maturity. Belete also had
significantly delayed days to 50% emergency as Shangi variety (Table 3). The presence of
significant differences among varieties for days to 50% emergence may be attributed by genetic
variations of cultivars and influenced by the physiological age of the tubers, but not by external
supply of nutrients. Lung’aho et al. (2007) stated that physiologically old tubers take relatively
short times whereas physiologically young tubers take longer times to emerge from the soil. This
is consistent with the suggestion of Mulubirhane (2004) that emergence depends on the soil
condition and stored food in the tubers not by nutrition. This is also consistent with the
suggestion of Jan et al. (2002) that embryo grows at the expense of stored food materials and did
not require any external nutrition.
Table 3. Effect of potato variety on days to 50% emergence and maturity at Haramaya during
2018 cropping season
Variety Days to 50%
emergence
Days to 50%
maturity
Bubu 12.90b 87.29b
Belete 13.24ab 86.52b
Shangi 13.81a 90.19a
LSD (5%) 0.602 1.063
Mean values followed by the same letter(s) within columns (each trait) had nonsignificant
difference at 5% probability level. LSD (5%) = least significant difference at P < 0.05.
The maturity of potato varieties was delayed as the varieties supplied by the increased rates of
NPS fertilizer (Table 4). The delayed days to 50% maturity (91.78 days) was observed at the
highest rate of 300 kg ha-1 NPS fertilizer whereas the shortest days to 50% maturity (84.78 days)
was registered in plots that did not receive fertilizer. The application of 250 kg ha-1 NPS fertilizer
44
also significantly delayed the maturity of potato varieties. The growing of plants without
fertilizer application and the effect of 50 and 100 kg ha-1 NPS fertilizer on the maturity of potato
varieties had nonsignificant difference.
The delayed days to maturity of potato varieties due to the application of NPS fertilizer at the
highest rates might be due to the three nutrients interaction and synergetic effect of the three
nutrients. Nitrogen is involved in all major processes of plant development and yield formation.
Besides a good supply of Nitrogen to the plant stimulates root growth and development as well
as uptake of other nutrients (FAO, 2000; Brady and Weil, 2002). An adequate supply of N is
associated with high photosynthetic activity, vigorous vegetative growth, and dark green color as
result it delayed the crop maturity. The result is consistent with the findings of other researchers
where a crop with high nitrogen application mature later in the season than a crop with less
nitrogen (Beukema and Zaag, 1979). Application of nitrogen fertilizer prolonged the canopy life
of the plant, which enabled potato plants to maintain physiological activity for an extended
period, there by continuing photosynthesis. Therefore, the supply of crop with more nitrogen
mature later in the season than a crop with less nitrogen supply because of the extended
vegetative growth is related to excessive haulm development (Barbara, 2007; Israel et al., 2012).
The results of the present study are generally in agreement with the findings of various
researchers where increasing fertilizer rates, including NPS prolonged days to flowering and
maturity of different vegetable crops including potato in different agro-ecologies (Ayichew et al.,
2009; Gebremeskel, 2016; Mekashaw, 2016; Yosef, 2016 ; Jemberie, 2017).
Table 4. Effect of blended NPS fertilizer on days to 50% maturity of potato varieties at
Haramaya during 2018 cropping season
Blended NPS fertilizer (kg ha-1) Days to 50% maturity
0 84.78e
50 85.11e
100 85.89de
150 87.78cd
200 89.33bc
250 91.33ab
300 91.78a
45
LSD (5%) 1.623
Mean values followed by the same letter(s) within column had nonsignificant difference at 5%
probability level. LSD (5%) = least significant difference at P < 0.05.
The three varieties in plots that did not receive fertilizer had significantly early flowering without
significant difference among varieties. Shangi variety observed in plots which received 300 kg
NPS ha-1 showed delayed days to 50% flowering, however, the effect of this rate had
nonsignificant difference with the effect of all rates of fertilizer except with the application of 50
kg NPS ha-1 on the same variety. The application of lower rates (50, 100 and 150 kg NPS ha-1)
had nonsignificant effect on growing of Bubu variety without fertilizer application. All rates of
fertilizer had been observed in plots which received 300 kg NPS ha-1.The application of all rates
of NPS fertilizer had nonsignificant difference on days to 50% flowering of Belete which all
resulted about 52 and 53 days of flowering (Table 5).
The delayed days to 50% flower of varieties towards the higher rates of NPS fertilizer might be
due to the higher rates of N supplied to plants. The higher rates of N from higher rates of NPS
fertilizer might have a positive effect to stimulate growth and prolonged vegetative phase thus,
delaying the reproductive phase of plants (Tisdale et al., 2003; Khan et al., 2009). Alemayehu et
al. (2015) also reported that the interaction of planting density and nitrogen rates had significant
influence on days required for flowering at Haramaya. They further justify that high N fertilizer
increased the leaf area which increases the amount of solar radiation intercepted and
consequently prolongs days to flowering. Zelalem et al. (2009) and Israel et al. (2012) also noted
that excessive vegetative growth and delayed flowering due to the application of high rates of
nitrogen. Similarly, Israel et al. (2012) reported that increased phosphorus application prolonged
the days to 50% flowering. The results of the present study are generally in agreement with the
findings of various researchers where increasing fertilizer rates, including NPS prolonged days to
flowering and maturity of different vegetable crops including potato in different agro-ecologies
(Ayichew et al., 2009; Gebremeskel, 2016; Jemberie, 2017; Mekashaw, 2016; Yosef, 2016).
Table 5. Interaction effect of blended NPS fertilizer and variety on days to 50 % flowering of
potato at Haramaya during 2018 cropping season
Blended NPS fertilizer (kg ha-1)
Variety
Belete Bubu Shangi
46
0 50.89 h 52fgh 50.67gh
50 52.67efg 54bcdef 53.33def
100 52fgh 54bcdef 55bcde
150 53.67cdef 54bcdef 56abc
200 53.33def 54.67abcde 55abcde
250 53.33def 55.33abcd 56.33ab
300 53.33def 55abcde 57a
LSD (5%) 1.339
Mean values followed by the same letter(s) in columns and rows had nonsignificant difference at
5% probability level. LSD (5%) = least significant difference at P < 0.05.
4.2. 2. Growth Traits
The height of plants was significantly affected by variety and blended NPS fertilizer while
number of main stem/hill was significantly influenced only by variety. The interaction of variety
x NPS fertilizer had nonsignificant effect on growth (plant height and number of main stem) of
potato (Appendix Table 1).
Belete had significantly highest number of main stem/hill and tallest plant height. Bubu had
significantly higher number of main stem/hill than Shangi variety. The plant height of Bubu and
Belete had nonsignificant differences, but the plant height of both varities was significantly
highest than Shangi (Table 6).
This result is in agreement with the findings of Mulubrhan (2004), Zelalem et al. (2009) and
Israel et al. (2012) who reported that mineral fertilizers like nitrogen and phosphorus did not
affect the number of main stem of potato. Consistent with the result of this study, Assefa (2005)
reported that stem number per hill was not significantly affected with the application of different
N and P rates. Simret (2010) also reported that different rates of nitrogen and phosphorus did not
affect the stem number of potato.
Table 6. Effect of variety on growth of three potato varities at Haramaya during 2018 cropping
season
Variety Plant height (cm) Number of main stem/hill
Belete 70.14a 6.75a
Bubu 69.63a 5.31b
47
Shangi 66.56b 3.09c
LSD (5%) 2.896 0.725
Mean values followed by the same letter(s) within columns (each trait) had nonsignificant
difference at 5% probability level. LSD (5%) = least significant difference at P < 0.05.
The shortest plants were observed in plots that did not receive fertilizer whereas the tallest plants
were observed in plots that received the highest rate of (300 kg ha-1 NPS) fertilizer application.
The height of plants without fertilizer application and the effect of 50, 100 and 150 kg ha-1 NPS
fertilizer had nonsignificant difference (Table 7).
Sharma et al. (2014) reported that plant height increased with increasing fertilizer levels of
nitrogen and phosphorus. This could be attributed to the enhanced availability of nutrients to the
crop which may have resulted in increased photosynthetic efficiency and increased metabolic
activities of the plant with an increase in fertilizer level. Jamaati-e-Somarin et al. (2009) and
Yibekal (1998) have also reported that, the highest rate of 200 kg N ha-1 gave the highest plant
height of potato, as it was observed in the present experiment that application of the highest
nitrogen and phosphorus rate gave the highest plant height (71.6cm) than those of other rates
NPS fertilizer applied. Mulubrhan (2004) and Zelalem et al. (2009) have also reported that
increasing application of nitrogen and phosphorus highly significantly increased the height of
potato plants. Plant heights and leaf numbers increased as rates of NPS fertilizer application
increased on other vegetable crops including cabbage, onion and garlic (Yayeh et al., 2017).
Additionally Sulfur plays an essential role in chlorophyll formation and many reactions of living
cells Tisdale et al. (1995). The results of the present study are in line with the findings of various
researchers where potato plant heights and stem shoot numbers were increased with the
application of sulfur containing fertilizers (Chettri, Mondal, and Roy, 2002; Choudhary, 2013;
Sharma, 2015).
Table 7. Effect of blended NPS fertilizer on plant height of potato varieties at Haramaya during
2018 cropping season
Blended NPS fertilizer (kg ha-1) Plant height (cm)
0 64.31c
50 65.29bc
100 68.04abc
48
150 69.2abc
200 70.96ab
250 71.24ab
300 72.41a
LSD (5%) 7.661
Mean values followed by the same letter(s) within columns had nonsignificant difference at 5%
probability level. LSD (5%) = least significant difference at P < 0.05.
4.3. Yield Components and Tuber Yield
4.3.1. Average Tuber Number per hill and Weight
The main effect of variety and blended NPS fertilizer and the interaction of the two factors had
significantly influenced average tuber number and average tuber weight. (Appendix Table1).
Average tuber number per hill increased as the rate of blended NPS fertilizer increased; The
highest tuber number per hill was obtained from Bubu at fertilizer application of 300 kg NPS
ha1, which was (12.73) higher than the lowest tuber number (4.03) per hill produced by Shangi
with fertilizer application of 150 kg of NPS ha-1 (Table 8). The increment due to increasing rates
of fertilizer was not more than seven tubers per hill for all the three varieties.
The increment of total tuber number per hill with increasing nitrogen fertilizer levels could be
explained by the maintenance of photo-synthetically active leaves for longer duration and the
formation of more new leaves than with lower or no nitrogen supply (Millard and Marshall,
1986). Increase in photosynthetic activity and translocation of photosynthesis to the sink might
have helped in the initiation of more tubers. As reported elsewhere, nitrogen application to
potatoes before tuber initiation increases the number of tubers per plant and mean fresh tuber
weight (Kanzikwera et al., 2001).
The current results are similar with the findings of (Mahmoodabad et al., 2010; Israel et al.,
2012; Birtukan, 2016) who reported that increasing the application of nitrogen and phosphorus
increased total tuber number per hill. In fact increasing combined application of nitrogen and
49
phosphorus from zero to full recommended NP fertilizers rate increased number of tuber per hill.
Plot treated with 200% NPSB with adjusted N ha-1 recorded highest tuber number per hill. There
are controversial reports regarding the influences of nutrition effect on potato tuber number.
Tuber number is not an important yield limiting component while studying mineral nutrition
(Lynch and Rowberry, 1997), which could be due to the inverse association between tuber
number and average tuber weight (De La Morena et al., 1994).
Increased rates of blended NPS fertilizer increased average tuber weight for all varieties. The
highest values for Belete, Bubu and Shangi was recorded (90.64 g), (71.82g) and (76.65g)
respectively at rate of 300 NPS kg ha-1 and the lowest was recorded at unfertilized plots and at
lower rates of blended NPS fertilizer application (Table 8).
The increase in average tuber weight of potato with the supply of fertilizer nutrients could be due
to more luxuriant growth, more foliage and leaf area and higher supply of photosynthesis, which
helped in producing bigger tubers, hence resulting in higher yields. In agreement with the present
finding, Mulubrhan (2004); Guler (2009); Jamaati-e-Somarin et al. (2010) and Israel et al.
(2012) have reported a significant increase in average tuber weight in response to nitrogen
application. Jamaati-e-Somarin et al. (2010) have also showed that variation in tuber yield due to
nitrogen treatments was related to the tuber weight increment. Similarly, Mulubrhan (2004) and
Israel et al. (2012) have reported that average tuber weight increased in response to the
application of phosphorus.
Table 8. Interaction effect of blended NPS fertilizer and variety on average tuber number per hill
and tuber weight of potato varieties at Haramaya during 2018 cropping season
Blended NPS
fertilizer (kg
ha-1)
Average tuber number Average tuber weight (g)
Variety Variety Belete Bubu Shangi Belete Bubu Shangi
0 9abcd 7.53abcd 4.97bcd 62.91cde 42.98e 60.87cde
50 7.78abcd 10.8abc 4.93bcd 61.21cde 69.28abcd 61.68cde
100 7.93abcd 10.27abcd 4.6cd 69.76abcd 57.03de 73.47abcd
150 7.77abcd 10.53abcd 4.03d 82.96abc 64.55cde 65.07cde
200 8.99abcd 10.3abc 5bcd 65.28cde 71.63abcd 58.39de
250 9.62abcd 11.23ab 5.23bcd 88.44ab 61.44cde 68.14bcd
50
300 12.23a 12.73a 11.01ab 90.64a 71.82abcd 76.65abcd
LSD (5%) 3.393 4.199 Mean values followed by the same letter(s) in columns and rows of each traits had nonsignificant
difference at 5% probability level. LSD (5%) = least significant difference at P < 0.05.
4.3.2. Distribution of Tubers in Different Size Categories
The proportion of large size tubers was significantly influenced by the main effect of variety and
by the interaction of two factors but not by the main effect of blended NPS factor, and small
tuber size was significantly influenced by both main effect of blended NPS fertilizer and variety
and by the interaction of the two factors. However medium tuber size was only significantly
influenced by the interaction of two factors but not by both main effect of variety and blended
NPS fertilizer (Appendix Table1).
As the rate of blended NPS rates increased, the proportion of large tuber size increased in variety
Belete, Bubu and Shangi by 37.1%, 9.2%, and 0.1% at highest rate of 300 NPS kg ha-1 fertilizer
application respectively as compared to unfertilized plots. Similarly as the rate of blended NPS
fertilizer increased, Shangi and Bubu variety increased the percent of medium tuber size by
6.21% and 1.46 % at highest rate of 300 Kg NPS ha-1 fertilizer application respectively, than
plots not received fertilizer. Whereas Belete variety decreased the percent of medium tuber size
by 8.35 % at 300 Kg NPS ha-1 fertilizer application than plots not received fertilizer (Table 9).
This could be due to the interaction of nutrients in blended fertilizer and remobilization of stored
food from tubers because of fast growth of aboveground biomass due to increased rates of
nitrogen fertilizer. It is also due to the presence of relatively better nutrient supply which results
in production of large and medium tuber production.
The results of the study are in agreement with the findings of Sharma and Arora (1987), who
found a significant increase in the yield of medium and large tuber sized due to N application.
This result also agrees with the results reported by Tafi et al. (2010) that the production of large
sized tubers and medium sized tubers increased due to less competition for nutrients and
moisture. Many researchers reported that applied phosphorus increased the proportion of large
tubers harvested (Benepal 1967; Freeman et al., 1998). Other researchers observed the increase
51
in the number of small tubers was offset by a decrease in number of large tubers (Jenkins and
Ali, 2000; Rosen and Bierman, 2008).
As the rate of blended NPS fertilizer increased, the percent of small size tubers decreased by
16.77%, 15.13% and 5.74% at highest rate of 300 Kg NPS ha-1 fertilizer application for Belete
Bubu and Shangi respectively, as compared to unfertilized plots (Table 9). Generally, the present
result showed that increasing the rate of blended NPS fertilizer application decreases the
proportion of small-size tubers. This indicates that phosphorus is a critical nutrient in
determining tuber size of potato varieties. This may be attributed to the enhanced metabolic role
the nutrient plays in tuber cell growth and development (Marschner, 1995). The result of the
present finding similar with authors, Sharma and Arrora (1987) who stated that increased in
yield of tubers with increase in applied nitrogen was associated with increases in the number of
tubers in the medium and large categories at the expense of the small ones due to increase in the
weight of individual tubers.
Table 9. Interaction effect of blended NPS fertilizer and variety on proportion of large, medium
and small size tubers at Haramaya during 2018 cropping season
Blended NPS
(kg ha-1)
Large size tubers (%) Medium size tubers (%) Small size tubers (%)
Belete Bubu Shangi Belete Bubu Shangi Belete Bubu Shangi
0 43.72c 65.7abc 72ab 23.47ab 17.84bcde 13.38de 20.88a 19.22a 10.7b
50 71.53ab 64.3abc 76.1ab 17.42bcde 19.04abcde 16.43cde 10.3b 10.3b 7.48bcd
100 68.3abc 79.7ab 69.7ab 20.9abc 13.21de 15.42cde 10.48b 7.18bcd 9.93bc
150 72.4ab 76.9ab 54.8bc 20.69abc 16.27cde 19.66abcd 5.8bcdef 6.54bcde 6.44bcde
200 86.1a 78.5ab 73.6ab 12.28e 17.66bcde 24.7a 1.32f 3.83def 1.6ef
250 74.4ab 77.1ab 73.7ab 16.63cde 18.34abcde 20.92abc 8.38bcd 4.61def 5.08cdef
300 80.8a 74.9ab 72.1ab 15.12cde 19.3abcd 19.59abcd 4.11def 4.09def 4.96def
LSD (5%) 13.44 6.765 2.623
Mean values followed by the same letter(s) in columns and rows of each traits had nonsignificant
difference at 5% probability level. LSD (5%) = least significant difference at P < 0.05.
4.3.3. Marketable, Unmarketable and Total Tuber Yield
Marketable tuber yield and total tuber yield was significantly influenced both by main effect of
blended NPS fertilizer and variety but, not significantly influenced by interaction of the two
52
factors. Moreover unmarketable tuber yield was significantly influenced by both main effects of
variety and blended NPS fertilizer and interaction of the two factors (Appendix Table 1).
Increasing blended NPS fertilizer application generally increased marketable tuber yields and
total tuber yields of the tested potato varieties. The highest marketable tuber yield and total tuber
yields of 30.74 t ha-1and 32.25 t ha-1 was recorded at the rate of 300 kg NPS ha-1 fertilizer
application respectively. But the lowest marketable tuber yield and total tuber yield of 18.24 t ha-
1 and 24.03 t ha-1 was recorded from unfertilized plots respectively (Table10).
Results of the present study revealed that application of blended NPS fertilizer increase
marketable and total tuber yields of Potato varieties. The increased in yield of tubers with
increase in applied nitrogen was associated with increases in the number of tubers in the medium
and large categories at the expense of the small ones due to increase in the weight of individual
tubers (Sharma and Arrora, 1987). Potato yield increment could be due to increment in
metabolism rate by the supplied nitrogen to the plant, where more carbohydrate is synthesized,
which might have increased tuber weight and, thus, increased total and marketable yields.
Similar to the result of the present study, Abraha et al. (2013) have also observed significant
increment in yield of bulbs of onion by applying blended fertilizer. The results are generally in
agreement with the findings of different researchers who reported positive response of potato
varieties for tuber yields with increasing levels of NPS fertilizer rates at different areas (Abewa
and Agumas, 2012; Boke, 2014; Jemberie, 2017; Mekashaw, 2016). Positive influence of NPS
fertilizer and other sulfur-containing fertilizer at optimum level have been also recorded on
various vegetable crops (Gebremeskel, 2016; Yayeh et al., 2017; Yosef, 2016,). Application of
sulfur containing fertilizers like NPS improves availability of micronutrients by amending the
soil pH (Marschner, 1995) that may in turn increase yields of vegetable crops including potato.
The varieties exhibited differential yielding ability in the study area. Belete and Bubu produced
significantly higher total tuber yield (32.41 and 31.07 t ha-1) than Shangi (15.98 t ha-1) varities.
Similarly Bubu, and Belete produced highest Marketable tuber yield (29.52, 29.48 t ha-1),
respectively, than Shangi (14.30 t ha-1) varieties (Table 10).
53
The variation in total yield of potato genotypes may be due to differences in response to the
growing environmental factors. This is in agreement with finding of other authors, who reported
that yield differences among genotypes were attributed both to the inherent potential of
genotypes and growing environment as well as to the interaction of genotype x environment
(Asmamaw, 2007; Elfinesh, 2008, Habtamu et. al., 2016).
Table 10. Main effect of blended NPS fertilizer and variety on marketable and total tuber yield at
Haramaya during 2018 cropping season
Blended NPS fertilizer
(kg ha-1)
Marketable tuber yield
(t ha-1)
Total tuber yield
(t ha-1)
0 18.24c 23.77b
50 23.31bc 24.85b
100 24.74b 26.08b
150 24.32b 25.61b
200 22.90bc 24.82b
250 26.78ab 28.10ab
300 30.7a 32.16a
LSD (5%) 4.008 4.021
Variety
Bubu 29.52a 31.98a
Belete 29.48a 32.41a
Shangi 14.30b 15.98b
LSD (5%) 2.624 2.633
Mean values followed by the same letter(s) within columns had nonsignificant difference at 5%
probability level. LSD (5%) = least significant difference at P < 0.05.
54
The highest unmarketable tuber yield of Belete (6.70 t ha-1), Shangi (5.12 t ha-1) and Bubu (4.77 t
ha-1) was obtained from the plots that did not receive fertilizer application (Table 11). The result
shows those unmarketable tuber yields were decreased significantly when the rate of blended
NPS rate was increased. This may due to the decreased the level of phosphorus, might have
decreased the growth above ground biomass, tuber growth, leading to reduced tuber size and
there by high unmarketable tuber yield.
In this experiment, unmarketable tuber refers to diseased, insect attacked and undersized tubers
(less than 20 g). Thus, most of the tubers that were discarded as unmarketable tubers included the
ones that were too small in size and rotten. This indicates that factors that increase percentages of
small sized tubers would significantly increase unmarketable tuber yield. Small-sized tubers can
be unmarketable and their increment in number would significantly increase unmarketable tuber
yields. Highly and positive association were reported between the proportion of small sized tuber
yield and unmarketable tuber yield (Helen, 2012). Unmarketable tuber yield might be controlled
more importantly by manipulating other factors such as disease incidence, harvesting practice,
etc. other than mineral nutrition (Berga et al., 1994).
Table 11. Interaction effect of blended NPS fertilizer and variety on unmarketable tuber yield at
Haramaya during 2018 cropping season
Blended NPS
fertilizer (kg ha-1)
Variety
Belete Bubu Shangi
0 6.70a 4.77b 5.12b
50 2.88cd 0.64gh 1.10fgh
100 1.38fgh 1.34fgh 1.31fgh
150 2.08cdef 0.72gh 1.09fgh
200 1.79defg 1.55efgh 0.93fgh
250 2.64cde 0.56h 0.78gh
300 3.09c 1.28fgh 1.39fgh
LSD (5%) 0.6514
Mean values followed by the same letter(s) in columns and rows of each trait had nonsignificant
difference at 5% probability level. LSD (5%) = least significant difference at P < 0.05.
55
4.4. Tuber Quality Related Traits
The analysis of variance result revealed that both the main effect of blended NPS rate and variety
and their interaction did not significantly influence dry matter, specific gravity and starch content
of potato tubers (Appendix Table 1). The result was in agreement with the findings of Sparrow
et al.(1992) that observed non- significant reduction in percent dry matter of tubers due to
increased P2O5 application and Zelalem et al. (2009) who have suggested that phosphorus
fertilization did not significantly influence tuber specific gravity and dry matter content.
4.5. Partial Budget Analysis
The two varieties, Bubu and Belete produced the lowest marketable tuber yield of 17.42 and
24.68 t ha-1, respectively, while Shangi produced lowest MTY (t ha-1) at 150 kg ha-1 NPS
fertilizer. Bubu, Belete and Shangi varieties produced the higher marketable yield of 37.29,
35.82 and 19.1 t ha-1, respectively, at application of highest rates of 300 kg ha-1 NPS fertilizer
(Appendix Table 12). Bubu, Belete and Shangi varieties had marketable tuber yield advantage of
114.06, 105.63 and 51.32%, respectively, at 300 kg ha-1 NPS fertilizer over yield obtained
without fertilizer application. The marketable tuber yields advantage of Bubu and Belete
varieties increased linearly starting 100 kg ha-1 NPS fertilizer over yields produced without
fertilizer application except MTY of Bubu and Belete at 100 and 200 kg ha-1 NPS fertilizer,
respectively (Table 12).
Table 12. Percent advantage of marketable tuber yield due to blended NPS fertilizer over potato
production without fertilizer at Haramaya in 2018
Blended NPS kg ha-1 Bubu Belete Shangi
56
50 67.53 53.16 11.52
100 58.53 58.96 -89.41
150 83.79 70.84 -11.46
200 81.57 60.16 16.46
250 80.54 94.20 19.41
300 114.06 105.63 51.32
The highest marginal rate of return (MRR) of 18.02 (1802.35%) followed by 15.88 (1587.78%)
and 14.34 (1434.17%) obtained from Bubu variety with the application of 50, 150 and 300 kg ha-
1 NPS fertilizer, respectively. The lower MRR of 10.97 (1097.1%) obtained from Bubu with the
application of 250 kg ha-1 NPS fertilizer. The tubers production of Belete with the application of
300 and 250 kg ha-1 NPS fertilizer had MRR of 7.6 (760.27%) and 6.81 (680.91%), respectively.
The lowest MRR of 2.07 (207.11%) obtained from Belete variety with application of 200 kg ha-1
NPS fertilizer. On the other hand, <1 (100%) MRR was obtained from Shangi with the
application of 100, 150 and 200 kg ha-1 NPS fertilizer. The MRR of 1.09 (109.09%), 1.35
(135.1%) and 4 (400.15%) obtained from Shangi with 250, 50 and 300 kg ha-1 NPS fertilizer,
respectively (Table 13). The results of cost benefit analysis indicated that the farmers could
obtain a minimum and maximum of 2.07 and 18.02 Birr, respectively, from Belete and Bubu
varieties when farmers cost 1 Birr for fertilizer purchasing. This suggested that the application of
fertilizer on the two varieties was acceptable since if farmers obtained additional 1 Birr (100%)
from the input cost 1 Birr. (However, the application of 100-200 kg ha-1 NPS fertilizer on Shangi
variety did not satisfy farmers since the farmers could not obtain additional 1 Birr (100%) by 1
Birr cost of the application of NPS fertilizer.
The benefit-cost ratio of Bubu variety with all rates of NPS fertilizer not lower than the benefit-
cost ratio of the variety without application of fertilizer, however, the benefit-cost ratio of Belete
and Shangi varieties with all rates of NPS fertilizer was lower than the benefit-cost ratio of the
varieties without application of fertilizer (Table 13). The highest MRR of 18.02 (1802.35%) was
also obtained from Bubu variety with the application of the lowest rate (50 kg ha-1) of NPS
fertilizer suggested the production of tubers from Bubu variety with lowest rate of fertilizer
application seem benefit more than other rates of fertilizer application and production of the
other two varieties. However, the producers not only focused the maximum MRR by introducing
new technologies but also the magnitude of net benefit (NB). In this regard the highest NB of
57
166175.5 Birr ha-1 was computed for Bubu variety with the application of highest NPS fertilizer
rates of 300 kg ha-1, the second and third higher NB of 158899 and 149658.5 Birr ha-1 obtained
from Belete with the application of 300 and 250 kg ha-1 NPS fertilizer, respectively.
The relationship between the application of NPS fertilizer (kg ha-1) and net benefit (Birr ha-1)
obtained from three potato varieties indicated that as the rates of fertilizer increased so did the
magnitude of net benefit from Bubu and Belete varieties. The magnitude of net benefit from
Bubu and Belete varieties was determined by the application of NPS fertilizer. The net benefit
obtained from Bubu and Belete varieties was determined by about 72.06 (R2=0.07206) and
81.92% (R2=0.08192), respectively, with the application of NPS fertilizer. However, the net
benefit obtained from Shangi variety was determined by about 35.79% (R2=0.03579). The net
benefit obtained from Bubu and Belete varieties and application of NPS fertilizer had positive
and strong correlation (r=0.8489 and r=0.9051) and the relationship was linear and significant,
but this is not true in the production of Shangi variety (Figure 1). The highest NB of 166175.5
Birr ha-1 followed by 158899 Birr ha-1 was computed from Bubu and Belete varieties,
respectively, with the application of highest NPS fertilizer rate of 300 kg ha-1. The two varieties;
Bubu and Belete also had acceptable MRR of 1434.17 and 760.27%, respectively, with the
application of highest NPS fertilizer rate of 300 kg ha-1. Therefore, the growing of Bubu and as
second option Belete variety with the application of highest NPS fertilizer rate could be
recommended in the study area.
According to CIMMYT (1988), the minimum acceptable marginal rate of return should be
between 50% and 100%. The current study indicated that the marginal rate of return was found
to be >207.11% for all treatment combinations of NPS fertilizer rates (50-300 kg ha-1) with Bubu
and Belete varieties and the chance of obtaining higher net benefit (Birr) was towards to higher
rates of fertilizer. This suggested the production of tubers from these two varieties at higher rates
of NPS fertilizer could be attractive for producers because of the high economic returns.
Table 13. Partial budget analysis of seven rates of blended NPS fertilizer in combination with
three potato varieties at Haramaya in 2018
Blended
NPPS
(kg ha-1) Variety
AMTY
(kg ha-1)
AdMTY
(kg ha-1)
GFB
(Birr)
TVC
(Birr)
NB
(Birr) MRR MRR (%) BCR
0 Bubu 17423.333 15681 86245.5 12000 74245.5 6.19
58
50 Bubu 29183.333 26265 144457.5 15060 129397.5 18.02 1802.35 8.59
100 Bubu 27616.667 24855 136702.5 15670 121032.5 12.75 1274.85 7.72
150 Bubu 32016.667 28815 158482.5 16280 142202.5 15.88 1587.78 8.73
200 Bubu 31630 28467 156568.5 17190 139378.5 12.55 1254.97 8.11
250 Bubu 31450 28305 155677.5 17800 137877.5 10.97 1097.10 7.75
300 Bubu 37290 33561 184585.5 18410 166175.5 14.34 1434.17 9.03
0 Belete 24680 22212 122166 12000 110166 9.18
50 Belete 26680 24012 132066 15060 117006 2.24 223.53 7.77
100 Belete 27690 24921 137065.5 15670 121395.5 3.06 305.98 7.75
150 Belete 29760 26784 147312 16280 131032 4.88 487.52 8.05
200 Belete 27900 25110 138105 17190 120915 2.07 207.11 7.03
250 Belete 33830 30447 167458.5 17800 149658.5 6.81 680.91 8.41
300 Belete 35820 32238 177309 18410 158899 7.60 760.27 8.63
0 Shangi 12620 11358 62469 12000 50469 4.21
50 Shangi 14073.333 12666 69663 15060 54603 1.35 135.10 3.63
100 Shangi 13360.333 12027 66148.5 15670 50478.5 0.00 0.26 3.22
150 Shangi 11173.333 10056 55308 16280 39028 -2.67 -267.31 2.40
200 Shangi 14696.667 13227 72748.5 17190 55558.5 0.98 98.06 3.23
250 Shangi 15070 13563 74596.5 17800 56796.5 1.09 109.09 3.19
300 Shangi 19096 17187 94528.5 18410 76118.5 4.00 400.15 4.13
AMTY (kg ha-1) =Average Marketable Tuber Yield, AdMTY (kg ha-1) =Adjusted Marketable
Tuber Yield, GB (Birr) = Gross Benefit, TVC (Birr) = Total Variable Cost, NB (Birr) = Net
Benefit, MRR= Marginal Rate of Return, MRR (%) =Percentage of Marginal Rate of Return,
BCR= Benefit Cost Ratio.
Purchasing cost of blended NPS fertilizer and Urea were estimated at Birr 12.2 kg ha-1 and 14
Birr per kilogram, respectively. For one time application of 50-150 and 200-300 kg fertilizer cost
350 and 500 Birr, respectively. The other cultivation cost per hectare was estimated 12000 Birr
for all plots considering the cost differences of cultivation for plots received different rates is
negligible. Sale price of marketable tubers was 5.50 ETB kg-1 for all varieties during the
harvesting time.
59
Figure 1. Scatter plot showing the relationship between the application of NPS fertilizer (kg ha-1)
and net benefit (Birr ha-1) obtained from three potato varieties.
5. SUMMARY AND CONCLUSION
Potato (Solanum tuberosum L.) is an important food and export crop in East Hararghe. The
limiting macro and micronutrients were identified for the production of crops in Haramaya
districts, but the rates of these nutrients for high potato yield are not yet determined. Therefore,
this research was conducted to determine the effect of blended NPS fertilizer rates on yield, yield
related and tuber quality related traits of potato varieties, and to estimate economically feasible
blended NPS fertilizer rate for potato production at Haramaya, East Hararghe.
60
Three potato varieties, namely Bubu (CIP-384321.3), Belete (CIP-393371.58) and Shangi were
used in this experiment in 2018 cropping season as experimental material. Seven rates of blended
NPS fertilizer (0, 50, 100, 150, 200, 250 and 300 kg ha-1) was used. The experiment was tested in
factorial arrangement in randomized block design with three replications. The experiment was
conducted at Raare, in Haramaya, East Hararghe, Oromia Zone, and Eastern Ethiopia during
2018 main cropping season.
The results revealed that days to 50% maturity, plant height, marketable tuber yield, and total
tuber yield were significantly affected by the main effects of blended NPS rates and potato
variety. Significantly delayed 50% maturity (91.78 days) and tallest plant height (72.41cm)
recorded at highest (300 NPS kg ha-1) rate of fertilizer. The highest marketable tuber yield (30.74
t ha-1) and total tuber yield (32.16 t ha-1) was recorded at rate of (300 NPS kg ha-1). But Days to
50% emergency and main stem number was significantly affected only by main effect of variety.
Bubu took the least days to 50% emergence (12.9 days) over the other two varieties while Belete
and Shangi took the longest days to 50% emergence (13.24 days) and (13.81days) respectively
without significant difference between the latter two. Belete and Bubu produced significantly
higher number of main stems (6.75, 5.31) per hill respectively than Shangi (3.09).
The interaction of blended NPS rate and potato variety also significantly affected days to 50%
flowering, average tuber number, average tuber weight, large tuber size, medium tuber size,
small tuber size and unmarketable tuber yield. Significantly delayed 50% flowering of Belete
(53.33 days), Bubu (55 days), and Shangi (57 days) was recorded at highest (300 NPS kg ha-1)
rate of fertilizer. Highest average tuber number of Belete (12.27), Bubu (12.73) and Shangi
(11.01) was recorded at rate of (250,200,300 NPS kg ha-1) of fertilizer application without
significant difference among them. The highest average tuber weight of Belete (90.64g), and
Bubu (71.82g) was recorded at highest rate of (300 NPS kg ha-1), and (76.65g) was recorded for
Shangi at rate of (200 NPS kg ha-1) fertilizer. The highest proportion of large tuber size (80.8%)
were obtained from Belete variety interacted with (300 NPS kg ha-1) fertilizer application, while
the highest proportion of medium (24.7%) were obtained from Shangi variety at rate of (200
NPS kg ha-1) and small tuber size (20%) were obtained from Belete varieties, without fertilizer
application. But all quality parameters (dry matter, specific gravity and starch content) were not
significantly affected by neither main effect of both factors nor the interaction of two factors.
61
The economic analysis revealed that, the application of highest rates of 300 kg ha-1 NPS fertilizer
produced the higher marketable yield of 37290, 35820 and 19096 kg ha-1 from Bubu, Belete and
Shangi varieties, respectively. The relationship between the application of NPS fertilizer
(kg ha-1) and net benefit (Birr ha-1) obtained from three potato varieties indicated that as the rates
of fertilizer increased so did the magnitude of net benefit from Bubu and Belete varieties.
The net benefit obtained from Bubu and Belete varieties was determined by about 72.06
(R2=0.07206) and 81.92% (R2=0.08192), respectively, with the application of NPS fertilizer.
However, the net benefit obtained from Shangi variety was determined by about 35.79%
(R2=0.03579). The net benefit obtained from Bubu and Belete varieties and application of NPS
fertilizer had positive and strong correlation (r=0.8489 and r=0.9051) and the relationship was
linear and significant, but this is not true in the production of Shangi variety. The highest NB of
166175.5 Birr ha-1 followed by 158899 Birr ha-1 was computed from Bubu and Belete varieties,
respectively, with the application of highest NPS fertilizer rate of 300 kg ha-1. The two varieties;
Bubu and Belete also had acceptable MRR of 1434.17% and 760.27%, respectively, with the
application of highest NPS fertilizer rate of 300 kg ha-1. Therefore, the growing of Bubu and as
second option Belete variety with the application of (300 NPS kg ha-1) highest fertilizer rate
could be recommended in the study area. However, since the experiment was conducted for one
season at one location, it suggested that the experiment has to be repeated over seasons and
locations using this and other improved potato varieties in order to give a comprehensive
recommendation.
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7. APPENDICES
83
Appendix Table 1. Mean squares from analysis of variance for phenology, growth, yield
components, tuber yield and tuber quality related traits of three potato varieties as influenced by
rates of blended NPS fertilizer at Haramaya in 2018
Trait Variety (V) (2) Blended NPS (6) V x NPS (12) Error (42) CV (%)
Days to 50% emergency 4.3968* 1.5344NS 1.3598NS 0.9325 7.3
Days to 50% flowering 25.5397** 19.0688** 1.6878* 0.6587 0.4
Days to 50% maturity 78.619** 75.593** 3.156NS 2.902 0.2
Plant height (cm) 78.81* 85.3* 27.76NS 21.55 4.6
Number of main stem/hill 71.454** 2.906NS 1.636NS 1.351 23
Average tuber weight (g) 763.88** 363.97** 281.38** 52.89 10.7
Average tuber number 125.682** 12.623* 9.763* 4.228 24.4
Large tuber size (%) 345.67** 75.27NS 233.74** 66.52 11.4
Medium tuber size (%) 5.44NS 7.72NS 47.75* 16.8 22.8
Small tuber size (%) 203.690** 24.938** 16.898** 2.534 20.5
Marketable tuber yield (t ha-1) 1615.87** 130.90** 23.96NS 17.7 17.2
Unmarketable tuber yield (t ha-1) 12.3403** 21.5627** 0.6837** 0.1558 19.2
Total tuber yield (t ha-1) 1749.04** 72.78* 26.95NS 17.82 15.9
Tuber dry matter (%) 21.53NS 18.1NS 11.34NS 19.18 3.7
Specific gravity (%) 0.000117NS 0.0002012NS 0.0001059NS 0.0001878 0.6
Starch content (%) 4.726NS 8.737NS 5.229NS 8.047 8.4
NS,*, and **, nonsignificant, significant at P<0.05 and P<0.01, respectively, and CV (%) =
coefficient of variation in percent. Number in parenthesis in each source of variation represents
degree of freedom.
84
Appendix Table 2. Mean values of traits due to potato varieties and rates of NPS fertilizer at
Haramaya in 2018
Treatment
Days to 50%
flowering
Average tuber
weight (g)
Average tuber
number
Large size
tubers (%)
Small size
tubers (%)
Unmarketable
tuber yield (t ha-1)
Belete 52.62a 74.46b 5.68a 71 8.75 2.935b
Bubu 54.14b 62.68a 9.26b 73.9 7.97 1.551a
Shangi 54.76c 66.32a 10.36b 70.3 6.60 1.672a
LSD (5%) 0.506 1.587 1.282 5.11 1.002 0.2462
Blended NPS
kg ha-1
0 50.89a
55.59a 7.17a 60.5 16.93 5.53c
50 53.33b 64.06ab 7.73b 70.6 9.36 1.54a
100 53.67bc 66.75b 7.73ab 72.6 9.20 1.34a
150 54.56bcd 70.86b 7.83ab 68 6.26 1.30a
200 54.33cd 71.19b 8.41ab 79.4 2.25 1.42a
250 55d 72.67b 10ab 75.1 6.02 1.33a
300 55.11d 73.62b 10.17b 75.9 4.39 1.92b
LSD (5%) 0.773 2.424 1.959 NS 1.531 0.3761
Mean values followed by the same letter(s) in each column (trait) and each treatment had
nonsignificant difference at P < 0.05. LSD (5%) = least significant difference at P < 0.05.
Appendix Table 3. Mean marketable total tuber yields of potato due to interaction of varieties
and rates of blended NPS fertilizer at Haramaya in 2018
Blended NPS
kg ha-1
Marketable tuber yield t ha-1 Total tuber yield t ha-1
Bubu Belete Shangi Bubu Belete Shangi
0 17.42 24.68 12.62 22.95 30.21 18.15
50 29.18 26.68 14.07 30.72 28.22 15.61
100 27.62 27.69 13.4 28.96 29.03 14.74
150 32.02 29.76 11.17 33.32 31.06 12.47
200 31.63 27.90 14.70 33.05 29.32 16.12
250 31.45 33.83 15.07 32.78 35.16 16.4
300 37.29 35.82 19.10 39.21 37.74 21.02
LSD (5%) NS NS
LSD (5%) = least significant difference at P < 0.05 and NS= nonsignificant difference at P <
0.05 among mean values of interaction of variety and NPS fertilizer in each trait.