1 Study on the Effect of Dietary Supplementation of Saccharomyces cerevisiae on Performance of Dairy Cattle and Heifers By Shakira Ghazanfar Department of Microbiology Faculty of Biological Sciences Quaid-i-Azam University Islamabad 2016
1
Study on the Effect of Dietary Supplementation of Saccharomyces cerevisiae on Performance of
Dairy Cattle and Heifers
By
Shakira Ghazanfar
Department of Microbiology
Faculty of Biological Sciences
Quaid-i-Azam University
Islamabad
2016
2
Study on the Effect of Dietary Supplementation of Saccharomyces cerevisiae on Performance of
Dairy Cattle and Heifers
A thesis submitted in partial fulfillment of the requirements for the Degree of
Doctor of Philosophy
In
Microbiology
By
Shakira Ghazanfar
Department of Microbiology Faculty of Biological Sciences
Quaid-i-Azam University Islamabad
2016
3
4
Dedication
To
My Loving Parents (Chaudhry Ghazanfar Ali Suleri and Sughra Begum)
Caring Husband (Rana Akmal Hussain)
&
Cute Daughters (Heba and Hamna)
5
Dec larat ion
The material and information contained in this thesis is my original work. I have not
previously presented any part of this work elsewhere for any other degree.
Shakira Ghazanfar
6
LIST OF CONTENTS
Sr. No. Title Page No.
i List of Figures i
ii List of Tables iii
iii List of Abbreviations v
vi Acknowledgements x
v Abstract xi
1 INTRODUCTION 1
1.1 Aims and Objectives 7
2 REVIEW OF LITERATURE 8
3 MATERIAL AND METHODS 57
4 RESULTS 76
5 DISCUSSION 132
6 Conclusion/ Future Prospects 170
7 Recommendations 171
8 References 172
9 Publication 219
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LIST OF FIGURES
Figure
No. Title Page
No.
2.1 Supply and demand of milk in Pakistan 9
2.2 Nutrients supply from different feed sources for animals in
Pakistan
11
2.3 Modes of action of probiotics 18
2.4 Estimated rumen microbial ecosystem 29
2.5 Representative scheme of the mode of action of S. cerevisiae 30
2.6 Components of fiber and its classification 33
2.7 A model of interaction of yeast cells with rumen microbes 35
3.1 Livestock Research Station, NARC, Islamabad 58
3.2 Animal shed at Livestock Research Station, NARC Islamabad 58
3.3 Commercially available yeast culture (Yac-Sac1026) 59
3.4 Dairy heifers in open paddock at LRS, NARC, Islamabad 59
3.5 Digestibility shed at NARC, Islamabad 60
3.6 Laboratory produced yeast, S. cerevisiae (QAUSC03) 74
3.7 Lactating dairy cattle in shed at open paddock at NARC,
Islamabad
74
4.1 Average monthly dry matter intake pattern of dairy heifers fed on
control feed (control, ♦; no yeast) or commercial probiotic feed
(COM-P, ■; control feed plus commercial yeast)
79
4.2 Average monthly growth pattern (Kg) of dairy heifers fed on
control feed (control, ♦; no yeast) or commercial probiotic feed
(COM-P, ■; control feed plus commercial yeast)
79
4.3 Total aerobic count (CFU/g) in the ruminal gut of dairy heifers fed
on control feed (control, ♦; no yeast) or commercial probiotic feed
(COM-P, ■; control feed plus commercial yeast)
91
4.4 Total Lactobacillus count (CFU/g) in the ruminal gut of dairy
heifers fed on control feed (control, ♦; no yeast) or commercial
probiotic feed (COM-P, ■; control feed plus commercial yeast)
91
4.5 Total coliform count (CFU/g) in the ruminal gut of dairy heifers
fed on control feed (control, ♦; no yeast) or commercial probiotic
feed (COM-P, ■; control feed plus commercial yeast)
92
4.6 Total Lactococcus count (CFU/g) in the ruminal gut of dairy
heifers fed on control feed (control, ♦; no yeast) or commercial
probiotic feed (COM-P, ■; control feed plus commercial yeast)
92
8
4.7 Total Enterococcus count (CFU/g) in the ruminal gut of dairy
heifers fed on control feed (control, ♦; no yeast) or commercial
probiotic feed (COM-P, ■; control feed plus commercial yeast)
93
4.8 Growth pattern of coliforms on machonkey agar (Right) and LAB
on MRS (Left)
94
4.9 Biochemical analysis of different bacterial isolates 94
4.10 Gram staining of Lactobacillus strains on MRS; gram positive rod 95
4.11 Gram staining of Lactococcus and Enterococcus strains on MRS 95
4.12 Gram staining of coliform strains on macconkey agar 95
4.13 Phylogenetic tree of the Lactococcus QAULL04, QAULG03,
QAULG02 species based on 16S rRNA gene sequence.
99
4.14 Phylogenetic tree of the Enterobacter QAUEV13 (KP25621)
based on 16S rRNA gene sequence
100
4.15 Phylogenetic tree of the Enterococcus (KP256016, KP256017,
KP256014, KP256015, KP256018) species based on 16S rRNA
gene sequence
101
4.16 Phylogenetic tree of the Escherichia QAUEV12 (KP256020)
based on 16S rRNA gene sequence
102
,4.17 Simple staining of yeast strains (L) QAUSC05 and (R) QAUSC03 106
4.18 Tolerance rate of isolated yeasts strains in bile salt (% + SEM) 106
4.19 Cholesterol assimilation of isolated yeast strains (%+SEM) 107
4.20 Anti-pathogenic activity of isolated yeast strains QAUSC03
(Strain #3) and QAUSC05 (Strain #5) against ATCC strains with
their zones of inhibition
107
4.21 Monthly variations in total aerobic count of lactating dairy cattle
fed on diet supplemented with a) no yeast (control, ♦), laboratory
yeast (LAB-Y, ■) or commercial yeast (COM-Y, ▲)
124
4.22 Monthly variations in total Lactococcus species count of lactating
dairy cattle fed on diet supplemented with a) no yeast (control, ♦),
laboratory yeast (LAB-Y, ■) or commercial yeast (COM-Y, ▲)
124
4.23 Monthly variations in total Enterococcus species count of lactating
dairy cattle fed on diet supplemented with a) no yeast (control, ♦),
laboratory yeast (LAB-Y, ■) or commercial yeast (COM-Y, ▲)
125
4.24 Monthly variations in total Bacillus species count of lactating
dairy cattle fed on diet supplemented with a) no yeast (control, ♦),
laboratory yeast (LAB-Y, ■) or commercial yeast (COM-Y, ▲)
125
4.25 Phylogenetic tree of the Bacillus (KP25619) based on 16S rRNA
gene sequence
130
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LIST OF TABLES
Table
No. Title
Page
No.
2.1 Proximate composition of cow and buffaloes milk (per 100 g of
milk)
8
2.2 Milk composition of cow 43
4.1 Ingredient and chemical composition of the control and probiotic
feed fed to dairy heifers
77
4.2 Growth characteristics in dairy heifers fed on control and probiotic
feed
78
4.3 Nutrient digestibility (Means ± SEM) of dairy heifers fed on
control and probiotic feed
80
4.4 Haematological values (Means ± SEM) in dairy heifers fed on
control and probiotic feed
83
4.5 Blood serum metabolites (Means ± SEM) in dairy heifers fed on
control and probiotic feed
84
4.6 Serum macro-minerals (Means ± SEM) in dairy heifers fed on
control and probiotic feed
85
4.7 Total bacteria counts (CFU/g ± SD) in ruminal gut of dairy heifers
fed on control and probiotic feed
90
4.8 Morphological, biochemical identification of bacterial isolates on
MRS and macconkey agar
96
4.9 Identification of isolated strains based on 16S rRNA gene
sequences and their accession numbers published in DNA
database.
97
4.10 Economic efficiency of dairy heifers fed on control versus
probiotic feed
103
4.11 Morphological and biochemical characteristics of isolated strains 105
4.12 The antipathogenic activity of isolated yeast strains against ATCC
strains and their inhibitory zones diameter (mm)
107
4.13 Ingredient and chemical composition of the control, LAB
probiotic and COM probiotic feed
109
4.14 Dry matter intake and milk yield (Means ± SEM) in lactating dairy
cattle fed on control, LAB-probiotic and COM-probiotic feed
110
4.15 Milk composition (Means ± SEM) of lactating dairy cattle fed on
control, LAB-probiotic and COM-probiotic feed
111
4.16 Nutrient digestibility (Means ± SEM) of lactating dairy cattle fed
on control, LAB-probiotic and COM-probiotic feed
112
4.17 Effect of dietary supplementation of yeast on haematological
values (Means ± SEM) in dairy cattle
115
10
4.18 Effect of dietary yeast supplementation on blood parameters
(Means ± SEM) in lactating dairy cattle
117
4.19 Effect of dietary yeast supplementation on blood serum
metabolites (Means ± SEM) in lactating dairy cattle
119
4.20 Total bacteria counts (CFU/g ± SD) in ruminal gut of lactating
dairy cattle fed on control and probiotic feed
122
4.21 Morphological, biochemical identification of selavtive bacterial
isolates on MRS and TSA
127
4.22 Identification of isolated strains based on 16SrRNA gene sequence
and their accession numbers published in DNA database.
128
4.23 Economics of milk production of lactating dairy cattle fed on
probiotic yeast
131
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LIST OF ABBREVIATIONS
AD Apparent Digestibility
ADF Acid Detergent Fibre
ADFD Acid Detergent Fiber Digestibility
ADG Average Daily Gain
ANOVA Analysis of Variance
AOAC Association of Official Analytic Chemists.
ATCC American Type Culture Collection
B-cells Bone-Marrow Cells
BLAST Basic Local Alignment Search Tool
BSH Bile Salt Hydrolase
Ca Calcium
CF Crude Fiber
CFU Colony Forming Unit
CMC Carboxy Methyl Cellucattlese
COM Commercial
COM-P Commercial Probiotic
CON Control
CO2 Carbon dioxide
Con. Concentration
CP Crude Protein
CPD Crude Protein Digestibility
CPY Commercially Produced Yeast
CDR Complete Randomized Design
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CTAB Cetyl Trimethyl Ammonium Bromide
CV Crystal Violet
D Day
DC Dendritic Cell
DDBJ DNA Data Bank of Japan
DM Dry Matter
DMI Dry Matter Intake
DMD Dry Matter Digestibility
DNA Deoxyribonucleic Acid
EDTA Ethylene Diaminetetraacetic Acid
EDX Energy Dispersive Scattering
FAO Food and Agriculture Organization
FCR Feed Conversion Ratio
Fig. Figure
g Gram
G Glucose
GC Guanine Cytosine
GIT Gastro-Intestinal Tract
GOS Gcattlecto-Oligoheiferccharide
GRAS Generally Recognised As Safe
Hb Hemoglobin
HMM High Molecular Mass
IBD Inflammatory Bowel Disease
Ig Immunoglobulin
K Potassium
L Liter
IL Interleukin
IR Infrared
LAB Laboratory
LB Luria Broth
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LAB-P Laboratory Probiotics
LH Luteinizing Hormone
Lit Liter
LMM Low Molecular Mass
LPY Laboratory Produced Yeast
LRS Livestock Research Station
LUB Lactic Acid utilizing Bacteria
m Molar solution
ME Metabolizable Energy
mg Milligram
Min Minute
ml Milliliter
MOS Mannan-Oligosaccharides
MP Microbial Protein
MR Methyl Red
MRL Microbiology Research Laboratory
MRS de Man, Rogosa and Sharpe
MRVP Methyl Red Vogues Proskauer
N Nitrogen
Na Sodium
NaCl Sodium Chloride
NARC National Agriculture Research Council
NCBI National Center for Biotechnology Information
NDF Neutral Detergent Fiber
NDFD Neutral Detergent Fiber Digestibility
NF-β Nuclear Factor Beta
NPN Non-Protein-Nitrogen
NRC National Research Council
NVL National Veterinary Laboratories
nm Nano-Meter
14
OD Optical Density
OGA Oxytetracyclin Glucoheifer Agar
OM Organic Matter
P Phosphorus
PbS Lead sulphide
PC Phyto Chelation
PCV Packed Cell Volume
QAU Quaid-i-Azam University
RDP Rumen Degradable Protein
Rpm Revolution Per Minute
rRNA Ribosomal Nucleic Acid
SC Saccharomyces cerevisiae
SD Standard Deviation
SDS Sodium Dodecyl Sulphate
SIM Sulfide Indole Motility
SME Standard Error of Mean
SNF Solid Not Fat
Sp Species
TGF Transforming Growth Factor
TNTC Too Numerous To Count
TSA Tryptic Soy Agar
TSI Triple Sugar Iron
TSS Tripticaseheiferlt solution
UN United Nation
UVD Ultra Violet Radiation
VFAs Volatile Fatty Acid
Vol Volume
WBC White Blood Cell
WHO World Health Organization
YC Yeast Culture
15
i.e. That is
C Degree Celsius
% Percentage
CO2 Carbon dioxide
O2 Oxygen
NH3 Ammonia
H2 Hydrogen
< Greater than
> Less than
ACKNOWLEDGMENTS
All praises for Allah, The Almighty, Who is the source of knowledge to all mankind.
Please and Blessing be upon on The Holy Prophet Muhammad (S.A.W), Who is
an eternal torch of guidance for humanity as a whole.
I am thankful to my supervisor, Dr. Iftikhar Ahmed, Principle Scientific Officer,
IMCCP, NARC, Islamabad for his guidance, support, and encouragement in the
completion of this thesis.
I owe my gratitude to Dr. Fariha Husan, chairman, Department of Microbiology,
Quaid-i- Azam University, Islamabad for her kind attitude and esteem cooperation
along with valuable guidance.
I wish to extend my appreciation to Dr. Muhammad Imran, Assistant Professor,
Department of Microbiology, Quaid-i-Azam University, Islamabad without whose
innovative idea this uphill task would have been impossible to achieve.
I owe my gratitude to Dr. Muhammad Iqbal, Head, Animal Nutrition NARC,
Islamabad for his great supoport.
With pleasure, I express my gratitude and appreciation to my lab fellow Maria
Qubtia, and Dawood Mustafa Bokhari for their help.
I am very grateful for the prayers of my parents, father in laws and my mother in
laws who have always been a source of inspiration for me. I thankful to my brothers
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Dr. Mudassar, Alnsar, Eng. Mubasar and Dr. Mustansar, my sister Zumurad and
other family members: Nusrat Thakhar, Dr. Mazia, Rozina, Esba, Dr. Afifa,
Mubeen, Hamza, Zaeem, Sadeem, Hazik, Arham, Usyad, Menal, Abiha, Talha
and Ahfan for their constant support.
Last but not the least I would like to thanks to my caring Husband and cute
daughters for their constant support and unconditional love
Shakira Ghazanfar
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ABSTRACT
Balance diet is one of the important factors in livestock productivity. Inadequate and unbalanced
diet is considered a major constraint for livestock promotion in Pakistan. The uneven dietary
patterns may result in dysbiosis in rumen. This leads to reduced growth rate, low milk production
and poor reproductive performance. Under such situation, production of livestock can be
increased through treat dysbiosis by supplementation of probiotic-yeast that may stable rumen
pH, increase microbial population, improve gut microbial balance and consequently improve
nutrient utilization and digestion efficiency resulting in enhanced growth rate, feed efficiency
and milk yield. From this line of research, we conduct an experimental study to analyses (i) the
effects of commercially available yeast culture on the growth performance and nutrient
digestibility of dairy heifers (ii) to compare the effects of dietary supplementation of laboratory
produced and commercially available yeast culture on the growth and health status in dairy
heifers (iii) to compare the effects of dietary supplementation of laboratory produced and
commercially available yeast culture on production performance and health status in lactating
dairy cattle and (iv) to study the impact of feed supplements on the changes in fecal microbiota
of dairy cattle and heifers. To achieve these objectives, the experimental work was divided into
three phases. In the first phase of the study, eight dairy heifers (87±5 kg and 6 to 7 months) were
divided into two equal groups of four animals each (control and probiotic) following completely
randomized design. During the trial, heifers in control group were offered control diet (NRC
recommended diet) while in the probiotic group fed with control diet plus commercial available
probiotic yeast (Yea-Sac1026; 5g/animal/corresponding to 2.5×1007 CFU/g S. cerevisiae). The
experimental period was 120 days. Results reveals that dairy heifers fed on probiotic feed gained
significantly (P<0.05) higher average daily weights than dairy heifers fed on control feed. At the
same time, it was observed that probiotic yeast supplemented heifers digested their dietary
nutrient significantly (P<0.05) at higher rate than non-supplemented heifers. Blood urea and
cholesterol levels were significantly (P<0.05) lower in the probiotic yeast fed heifers than those
of control heifers. Feeding probiotic yeast to dairy heifers had no remarkable effect on serum
micro-mineral. The supplementation of the probiotic yeast significantly (P<0.05) decrease the
coliform (CFU/g) species counts and significantly (P<0.05) increases the Lactobacillus (CFU/g)
species counts in the ruminal gut resultantly in improved gut health, increase digestion rate and
better growth performance in dairy heifers. In general, the results of phase I show a clear
18
advantage of probiotic yeast (Yac-Sac1026) regarding improved growth efficiency and health
status of dairy heifers, however, it was not economically efficient. Therefore, to fulfill the need
to isolate an indigenous probiotic yeast strain for our local breeds, in second phase of the study,
two strains of yeast culture; S. cerevisiae (SCQAU03; SCQAU05) were isolated. On basis of
comparatively higher enzymatic potential and as well as probiotic attributes, SCQAU03 strain
was selected for supplementation in animal feed. In the third phase, S. cerevisiae (QAUSC03)
was used in the lactating dairy cattle feed. For this study nine lactating dairy cattle were divided
into three equal groups following completely randomized design. In group I, cows were fed on
control diet (3 kg concentrate, 8 kg maize silage and 20 kg oats fodder). In group II, cows were
fed on control diet plus commercially (COM-Y) available yeast Yac-Sac1026 (10g/day/animal
corresponding to 2.5×1007 CFU/g S. cerevisiae) while in group III, cows were fed on control diet
plus laboratory (LAB-Y) produced yeast (8g/day/animal corresponding to 3.13×1007 CFU/g S.
cerevisiae) for 60 days. Results reveals that LAB-Y group produces significantly (P<0.05) more
milk with high fat content than other groups. However, milk protein, total solid, lactose and
solids not fat remained unchanged. It was found that dry matter, organic matter and protein
digestibility was significantly (P<0.05) better in both probiotic fed groups than the control group
on the other hand, nutrient detergent fibre and acid detergent fibre digestibility were significantly
(P<0.05) better in LAB-Y fed group as compared to other groups. Improved blood hematological
profile and blood chemistry was observed in the probiotic yeast fed groups. Results of the
ruminal gut microflora showed that the average, beneficial Lactococcus species (CFU/g) counts
were increase while pathogenic Enterococcus species (CFU/g) counts were lower in (LAB-Y)
yeast fed groups than other groups which leads to improve GIT microbial balance in this group.
The economic efficiency of LAB-Y fed group was also better than the other groups. It can be
concluded from phase III, that laboratory produced yeast improves the production performance,
gut health and wellbeing of lactating dairy cattle in cost effective manner. Locally isolated yeast
strain may be adopted well in the cattle gut than exotic probiotics.
Finally, we concluded from our experimental study that, dietary supplementations of yeast
culture (Yac-Sac1026) enhance growth efficiency and health status in dairy heifers and locally
isolated yeast economically improves production efficiency and wellbeing in lactating dairy
cattle without any adverse effect.
19
Chapter-1
INTRODUCTION
Livestock plays an essential role in human nutrition by providing essential nutrients in the
form of milk, meat, and egg. Pakistan is an agricultural based country, where livestock
contribution is about 55.9 % of the agriculture value added and 11.8% to national GDP
(Economic Survey of Pakistan, 2013-14). Livestock also contributes towards exports and
8.5-9.0 percent of total exports belong to this sector (Afzal, 2008) Pakistan is top ranked in
livestock population having about 39.7 million buffaloes and 34.6 million cattle (Economic
Survey of Pakistan, 2013-14). Like all other South Asian countries, Pakistan has also been
facing a lot of problems in livestock industry. One of the major problems is the poor growth
and productive performance of the dairy animals. Our livestock sector is mainly based on
traditional lines resulting in low production performance of dairy animals owing to several
factors. These key factors include malnutrition, poor genetic makeup, late age of maturity (Bilal
and Ahmad, 2004; Bilal et al., 2006), traditional line farming poor health condition, insufficient
feed resources and a disorganized marketing and extension services (Ahmad et al., 2012; Arif et
al., 2013).
By several independent analyses, it is conferred that the major constraint in the development
of productive livestock sector is the poor nutritional status of animals. This malnutrition is
due to insufficient feed resources, imbalanced feeding and use of conventionally feeding
scheme (Sarwar et al., 2002; Bilal and Ahmad, 2004; Nkya et al., 2007; Anjum et al., 2012;
Arif et al., 2013), which results in slow growth rate and low productive potential in
ruminants (Jabbar et al., 2006, Bhatti et al., 2007). Malnutrition does not allow full
exploitation of animal’s genetic potential (Raza et al., 2006). Most of the dairy cows enter
into negative energy balance during early lactation leading to poor reproductive efficiency
(Wathes et al., 2007). Moreover, poor nutritional status can affect the activity of certain
enzymes, thereby, impairing the overall immune function of the animal (Spears, 2000). Due
to poor feeing, animals are also at risk to entire bacterial imbalanced and generally suffer
from digestive and respiratory diseases leading to insufficient digestion and consequently
retarded growth and productive performance.
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It is claimed that Pakistan is at third position in the milk producing countries (FAO, 2010;
IFCN, 2014) and produces 50 million tone milk annually (Economic Survey of Pakistan,
2013-14), but still there is a gap in the demand and supply of milk (Chattha et al., 2013). The
most important reason for this gap is that the human population and consumption per capita
is increasing at the rate of 3% annually, however, the milk production is not increasing at the
same pace. We spend huge amount of foreign reserves to import milk and milk products to
fulfill market needs (Economic Survey of Pakistan, 2008-09; GOP, 2011; Mansoor, 2012). It
is alarming situation that being an agricultural country we have to import milk and milk products
by spending up to 22 million US dollars to fulfill consumer needs (Economic Survey of
Pakistan, 2008-09; Chaudhry et al., 2012). Although the milk production has been increased
overtime; however, at increased animal population (ACO, 2006), average dairy animal yields
of Pakistan is 6-8 times less than that of the advance countries (Hussain et al., 2010).
Therefore, to cope with a huge milk need in future, a holistic approach is required to develop
integrated solution for dairy chain in country in order to meet the requirements. On the other
hand the poor growth rate in growing dairy animals is also major problem in our livestock
industry (Anjum et al., 2012). Several independent studies carried out in Pakistan clearly
indicate that the production performance of the existing animals can be improved by 30 to
35% with proper feeding (Afzal, 2007). Proper feeding management can provide adequate
energy and nutrient during early growth and lactation that leads to a carryover effect
resulting in improved energy and nutrient utilization and ultimately growth, production and
reproductive performance of the ruminants (Mulligan and Doherty, 2008; Gong et al., 2002).
Ruminants can eat different types of feed that are digested by microbial biomass resulting in
better metabolism, which ultimately impacts the dairy animal productivity. The microbial
flora in the gastro intestinal tract (GIT) has a lot of impact on the productive efficiency, health
status and wellbeing of the dairy animals (Guarner and Malagelada, 2003; Eckburg et al., 2005;
Dowd et al., 2008). The diversity and function of ruminal GIT microbes are very important in
feed digestion. The way the nutrients are digested in GIT in ruminants have a crucial impact on
growth, health and productivity (Fuller, 1989). The GIT inhabits multifarious microbial diversity
that helps in generating impassive response regarding nutritious, health, physiology and
productivity of animals (Guarner and Malagelada, 2003). The existing gut microbiota regulates
food safety through shedding of pathogens, interaction with organisms and resource competition
21
in the GIT (Nurmi and Rantala, 1973). Gastrointestinal tract micro-flora aids in stimulation of
the immune system that acts as a barrier against infectious pathogens. It also restrains the
injurious and pathogenic bacteria in gut colonization (Cebra et al., 1999). Different strategies
have been used to enhance the micro-biota of gastrointestinal tract, which ultimately affects
the production potential and growth efficiency of dairy animals. Now a days, the improvement
of microbiota of gastrointestinal tract by using probiotics has become a useful and economical
method to enhance the health and productive performance of animals.
“Probiotics supplements” are natural products containing live microbiota that beneficially affect
the health and production performance of the host by improving gut microbial flora
(Klaenhammer et al., 2012). Early in history (100 years ago), Metschnikoff was the first one who
instigated the interests in probiotics (Metschnikoff, 1907). Lactic acid bacteria are the primary
source of probiotics. It includes Lactobacillus sp., Bifidobacterium sp., Enterococcus sp. and
Pediococcus sp., (Klein et al., 1998) Bacillus sp.,(Senesi et al., 2001) Clostridium butyrium
(Takahashi et al., 2004), yeast “Saccharomycees boulardii” (Elmer et al., 1999),
“Saccharomyces cerevisiae” and Geotrichum candidum (yeast-like fungus) are also appropriate
for probiotics and as animal’s feed sources (Fuller, 1992; Guillot, 1998). Bacterial probiotics
were given better results in young calves, chickens and pigs, whereas yeast/ fungal probiotics
were effective in adult ruminants (Musa et al., 2009). Consequently, probiotic strains carry out
their advantageous phenomena by showing some of its potential activities such as, they should
have their survival rate in upper GIT, they should tolerate bile toxicity and gastric acid
environment (Del Piano et al., 2006) and they should have the ability of mucin-binding and
adherence to intestinal-imitative epithelial linings (Dunne et al., 2001). Furthermore, Antibiotic
sensitivity of probiotic strains must be assessed before its application in food processing (Parvez
et al., 2006). One of the major advantages of the probiotic use in livestock sector is that the
antibiotics uses have been banned in the European Union. Hence, livestock sector demand
from producers for alternative feed additives that can be used to enhance rumen fermentation
and improve productive performance of animals (Ayad et al., 2013). Dietary supplementation
of probiotics is viable and safe option for the farmers to enhance the performance parameters
of the lactating dairy cattle and heifers (Lascano et al., 2012).
22
Recently, consumers s’ demand about safe and healthy food products has been increased
worldwide. Because of that, the advantage of using probiotics is not only to enhance the
productive performance but also to (contribute to) lowing the risk of ruminant GIT carriage
of human pathogen and to reduce excretion of polluting outputs such as nitrogen-based
compounds and methane (Strohlein, 2003). The S. cerevisiae received the Generally
Recognized As Safe (GRAS) status from Food and Drug Administration (FDA) and thus , is
appropriate for use in animal feeds (Auclair, 2001). Some factors i.e. expected response, net
profit, ongoing research, and field responses should be considered to determine when a feed
additive is used for experiment (Hutjens, 1991). Fermented yeast culture has emerged as a
cost-effective product that has many benefits to ruminants (Hutjens, 2003). One of the major
benefits of the probiotic yeast is that yeast has no antibiotic resistance gene (Czerucka et al.,
2007). It has also ability to tolerate to bile salt and gastric acid and to neutralized enterotoxin
and colonizes in the GIT resultantly improve health status and production efficiency of the
dairy animals.
Therefore, presently livestock industry is showing great interest in the use of probiotics for
improving performance of the dairy animal. This ultimately helps in combating the food security
challenge (Puniya et al., 2015). Yeast culture as probiotic may improve growth rate and health
status, increases feed efficiency of poor quality forages and high grain diets (Arambel and Kent,
1990) by increasing the desirable bacterial population and stabilizes the pH inside rumen (Shehu
et al., 2015). Yeast produces many important fermentation metabolites such as protein,
carbohydrates, high potency vitamins and different types of important minerals and enzymes
(Szucs et al., 2013) that makes it useful and highly nutritive feed supplement for ruminants
(Yalcın et al., 2011). These fermentation metabolites may have a number of positive effects on
the rumen including stimulation of the function of desirable bacterial species, increased pH,
increased number of cellulolytic bacteria and they alter the volatile fatty acid concentration
(Dolezal et al., 2012). It supports fermentation by producing many useful digesting enzymes in
the gut and stabilizes the microbial flora within the GIT by supplying the various nutrients which
are essential for their growth purposes.
Earlier scientists reported that yeast culture has significant effects on daily feed intake, feed
conversion ratio, nutrient digestibility and gut health (Lascano et al., 2012; Ayad et al., 2013;
23
Agazzi et al., 2014). Dietary supplementation of yeast culture (S.cerevisiae) improves growth
efficiency in dairy heifers and milk production and its composition in lactating dairy cattle
(Sabbia et al., 2012; Ghazanfar et al., 2015). Hematology and minerals absorption are also
positively affected by yeast culture (YC) resulting in good health and immunity (Dolezal et al.,
2012). The physiological, anatomical and immunological status of the host is strongly
dependent upon micro-biota of gastrointestinal tract which facilitates essential functions to
host. YC has also imparted a positive effect on the balance of fecal microbiota that improves
the gut health of the dairy animals (Agazzi et al., 2014). Another advantage of the use of
yeast culture is that the benefit to cost ratio of YC (S. cerevisiae) supplementation in dairy
cattle is 4:1 (Hutjens, 1991). Many microbial based products are available in the local market
(Szucs et al., 2013). But that may not be effective and economical for our local breed. The
economic advantage of microbial feed additives depends on the price of microbial culture,
microbial strain, concentration of live cell (CFU), age, diet, breed, the lactation stage of the
animal and geographical location of the animal (Yalcın et al., 2011, Vibhute et al., 2011).
In this context, there is adire to propose an empirical study that focuses on probiotic
utilization and its efficiency in local dairy animals. Such empirical study will certainly help
farmers, researchers and government officials to formulate proper guidelines related to the
enhancement of dairy sector in the country. Little work has been conducted in Pakistan
regarding the use of probiotics to enhance the performance parameters of dairy animal. From
this line of research, we conducted an empirical study to check the impact of probiotic yeast
on the performance of dairy cattle and heifers under the control environment.
24
AIMS AND OBJECTIVES
This research work is undertaken with these following objectives.
1. To determine the effect of Saccharomyces cerevisiae (Yea-Sac1026) on growth performance and
wellbeing of dairy heifers.
2. To study the comparative impact of Saccharomyces cerevisiae (Yea-Sac1026) and locally isolated
yeast on nutrient digestibility and blood chemistry of lactating dairy cattle.
3. To study the comparative impact of Saccharomyces cerevisiae (Yea-Sac1026) and locally isolated
yeast on milk yield and milk composition and health status in lactating dairy cattle.
4. To study the impact of feed supplements on the changes in fecal microbiota of dairy cattle and
heifers.
25
Chapter-2
REVIEW OF LITERATURE
2.1 Overview of dairy sector of Pakistan
Being major player in the national economy, livestock sector is considered as an important
economy engine for poverty alleviation in Pakistan. It provides food, income, employment and
foreign exchange. Livestock sector mainly consist of cattle, buffalo, sheep and goat. It is
estimated that Pakistan contains 34.60 million buffaloes, 39.70 million cattle, 29.10 million
sheep and 66.60 million goats (Economic Survey of Pakistan, 2013-14). The main dairy animal
in Pakistan is buffalo, which produced more than 61 % of the total milk produced in the country;
on the other hand 35 % of the total milk produced in the country comes from cattle. Many
important breeds are present in Pakistan that includes Nili Ravi, Kundi and Aza Kheli. Nili Ravi is
considered the best buffalo breed in world and known as Black Gold of Pakistan (Bilal et al.,
2006). Sahiwal, Cholistani and Red Sindhi are the main cattle breeds present in Pakistan (Iqbal et
al., 2015). Sahiwal is an important dairy cattle breed of Pakistan and moreover, due to its heat
and disease resistance qualities, it has gained international recognition (Rehman and Khan,
2012). Within livestock sector, milk is the largest and the single most important commodity and
has long lasting benefits such as bone health, lowing the risk of cardiovascular and blood
pressure diseases, and it is effective against obesity, type 2 diabetics, cancer and dehydration
(Shahid et al., 2012). From nutritious point of view, the milk is a major source of dietary energy,
protein and fat (Table 2.1).
Table 2.1: Proximate composition of cow and buffaloes milk (per 100 g of milk)
Proximate* Energy (KJ) Water
(g)
Total
protein (g)
Total fat
(g)
Lactose
(g)
Ash
(g)
Cow milk 262 87.8 3.3 3.3 4.7 0.7
Buffalo milk 412 83.2 4.0 7.5 4.4 0.8
* Average values After: FAO (2013)
26
Pakistan is 3rd largest milk producing country in the world and produces 50.99 billion liters milk
annually (IFCN, 2014). Besides that huge milk production, Pakistan has been facing a gap
between supply and demand of the milk (Figure 2.1). If we compare the milk yield per animal of
Pakistan with other advanced countries like USA, we observe that Pakistan has 1.6 million more
milking animals than USA but produces 60 billion liter less milk highlighting a significant loss
in potential economic and social value (Shahid et al., 2012; Anonymous, 2009). It is estimated
that per animal milk production is not very high (3.15 liters) in Pakistan as compared to USA
(28.35 liters) (Anonymous, 2006). It is also found that approximately eight milking animals of
Pakistan are equal to one milking animal of the developed world (Shahid et al., 2012;
Anonymous, 2009).
Figure 2.1: Supply and demand of milk in Pakistan. Adopted by (Anonymous, 2011).
2.2 Major constrains in dairy industry of Pakistan
27
There are many factors constraining the improvement in dairy sector of Pakistan. Main factors
represented in the literature includes: poor policy and marketing, weak extension service,
inadequate and inappropriate research, low genetic potential, poor performance of large
population, poor health status, inadequate and poor quality feeds (Nkya et al., 2007; Sarwar et
al., 2010; Ahmad et al., 2012; Anjum et al., 2012; Arif et al., 2013; Iqbal et al., 2015). Feed and
nutrition have been noted as major constructs in animal production performance in south Asia
(ILRI, 1995, Devendara, 2000). So, the significance of improved nutrition in dairy sector is
therefore a major consideration. From nutritional point of view, poor availability of nutrients,
inadequate feed recourses, imbalanced feeding scheme and use of conventional feeding scheme
are major constants that affect the dairy sector of the country (Sarwar et al., 2002; Nkya et al.,
2007; Chattha et al., 2013). Fodder, crops residues, forages, rangelands and agro-industrial by-
products are the main feeding sources for the dairy animals in Pakistan (Hanjra, 1995; Iqbal et
al., 2015). It has been estimated that fodder is the main feeding source for livestock in Pakistan,
but the optimum level of feed and fodder is not available in Pakistan which leading to low
production performance of the dairy animals (Figure 2.2).
2.3 Strategies to enhance performance of in dairy cattle and heifers
The following common strategies can be used to enhance the performance of dairy cattle and
heifers
1. Improve health status of the animals
2. Improve breeding process
3. Improve managemental practices
4. Improve feeding and nutrition
Literature suggests that the milk production depends on the breed, feeding system, and
management, climate of the dairy farm, age and health of the animal at first calving (Rao,
1995; Hussain et al., 2010; Iqbal et al., 2015). Among all these factors, feed and nutrition has a
major effect on the milk production (Hussain et al., 2010).
28
Figure 2.2: Nutrient supply from different feed sources for animals in Pakistan. Adopted by
(Iqbal et al., 2015).
It is estimated that, improvement in the feed quality and quantity could bring improvement in the
livestock production up to 50% from exciting gene pool of the animal (Hasnain, 1983).
2.4 Nutritional strategies to enhance performance of in dairy cattle and heifers
Nutrition plays a crucial role in the performance of dairy animals. Many approaches have been
sought to economically enhance the performance of the dairy animals without affecting the
health status. Some of the approaches represented in the literature includes: use of balance
feeding scheme, use of stair step feeding scheme, use of feed additives, and manipulation of CP:
ME (Lammers and Heinrichs 2000; Ford, 2001; Yalcin et al.,2011; Anjum et al., 2012; Arif et
al., 2013; Ayad et al., 2013).
2.5 Improving diary animal performance by using of feed additives
Feed additive is an ingredient or combination of different feed components that give a useful
response to animals in a non-nutrient role such as, shifting of pH and growth or metabolic
Forages and crop residues,
51%Rangelands,
38%
Post-harvest grazing, 3%
Cereal by-products, 6%
Oil cakes, 2%
29
modifier (Hutjens, 1991). It may also be defined as any chemical incorporated in an animal feed
to improve the weight gain, feed efficiency, production potential or preventing and controlling
disease.
2.5.1 Types of feed additives
Feed additives can be a classified into, nutrient feed additives (which contains; amino acid,
minerals, vitamins) and non-nutrient feed additives (which contains; antibiotics, hormone,
common modulators, coccidiostats, enzymes, antioxidants, mycotoxin binders, anti-caking
agents, feed preservatives, flavoring agents, coloring agents, pellet binders, dietary buffers,
methane inhibitors, propionate promoters and probiotics). Next, we discuss probiotics in detail.
2.5.2 Probiotics
Microbial feed supplementation or ‘Probiotics’ are the living microorganisms specifically,
bacteria and yeast, that grant the beneficial health postures to the host when administered in
adequate amount (Dunne et al., 2001). Generally, probiotics have been employed as a beneficial
source both for humans and animals gut. With reference to UN, FAO, and WHO, probiotics are
defined as: “The livable microorganisms predominantly reside inside the intestinal tract provide
healthy and beneficial impact to host”. As probiotics are considered as the beneficial source of
microorganisms, so they help in stimulating the growth of recommended bacteria and pop out
the detrimental microorganisms, thus, they support the natural defense mechanism of the body
Apart from this, they also induce strong immunological aspects on intestinal immune system,
which causes the displacement of enteric pathogens (Dunne et al., 2001). They also grant
probiotic anti-mutagens and anti-oxidants and some other achievements through cell signaling.
There have been studied various beneficial aspects of probiotics on number of imperative
diseases such as, intestinal infections, some allergy, inflammatory bowel disease (IBD) (Di
Caro et al., 2005) and control of diarrhea (Gao et al., 2010). Probiotics are also behaved as a
potent supplier of vitamin sources (particularly the B group) (Crittenden et al., 2003).
2.5.3 Sources of probiotics
The probiotics are best available in the form of “fermented milk products”, “dairy products”,
“yogurt” and in some “non-dairy food items”. Some of these are describes as following;
2.5.3.1 Food items
30
The food items including mayonnaise, soymilk, fruit drinks, meat products, baby food and
vegetables are rich in probiotic microorganisms. They are also delivered in the form of
supplements (tablets and capsules) (Homayouni et al., 2008).
2.5.3.2 Fermented food items
Dairy and dairy-associated products provide excellent sources of probiotics (Liong, 2011). A
variety of microorganisms, specifically Lactic acid bacteria, Bifidobacterium (from fermented
milk) has been applied as primary source of probiotics since centuries. The conventional milk
fermentation process has intricate lactic acid bacteria composition, thus act as a potent probiotic
source. In a latest designed study, various LAB strains were isolated and identified from different
dairy food stuffs such as from kurut (fermented yak milk), some yeast and Lactobacillus strains
from Koumiss (fermented milk drink), kefir grains and masai milk. Microorganisms screened out
from these sources thus enhance their immunity level (Patrignani et al., 2006; Ya et al., 2008;
Romanin et al., 2010; Audisio and Benitez-Ahrendts, 2011). Naturally, Lactobacillus specie is
evaluated as source of probiotics that is primarily accessible from traditional and natural
fermented products (Lim and Im, 2009, Won et al., 2011) which includes “Weissella” specie
isolated from Nigerian fermented food and is behaved as a potential probiotic (Ayeni et al.,
2011).
2.5.3.3 Non-dairy fermented products
They also set forth the criteria of probiotics strains (Rivera and Gallardo, 2010). A reported
study manipulates the in vitro characteristics of bacterial strains that include; L. sakei, L.
curiatus and Staphylococcus carnosus from meat and L.paracasei and L.plantarum from fruits
exhibit; the same metabolic and functional properties like human intestinal flora (Haller et al.,
2001). Additionally, Lactobacillus strains from brine of naturally fermented Aloren (green table
olive) and L. buchneri P2 from pickled juice have revealed some of the probiotic properties as,
acid and bile tolerance, antimicrobial activity and cholesterol reduction (Zeng et al., 2010).
2.5.3.4 Other sources
Gastrointestinal tract is an effective and primary source of probiotics which inhabit almost more
than 500 bacterial species. L.gasseri and L.reuteri are the most commonly used probiotic species
that reside in the human gastrointestinal tract (Ryan et al., 2008). Similarly, B.longum (Srutkova
et al., 2011) and L.acidophilus (Lin et al., 2009) strains were screened out respectively from
healthy human adult and being marked as probiotics. Besides this, probiotic strains are also
31
profound in animals gastro intestine, commonly in rats, pigs, and poultry sources (Petrof et al.,
2012). Bee gut induces beneficial response to honey bee colonies (Audisio and Benitez-
Ahrendts, 2011). Moreover, GIT of marine and fresh water fish such as, carassiusauratus gibelio
(Chu et al., 2011) and Shrimp (Hill et al., 2009) are also rich sources of probiotics. Furthermore,
in a reported study, human breast milk also provides Lactobacillus strains that act as probiotic
source. This helps in generation of T-cells and natural killer cells and also responsible for
regulatory T cell expansion that simultaneously heighten natural and acquired immunity (Perez-
Cano et al., 2010).
2.5.4 Functional aspects of probiotics
Some clinical trials of probiotics were also implied on animal and human studies (Yan and Polk,
2011). Probiotic effects were analysed and verified by number of trials. They show sudden
responses in repressing diarrhea (Lye et al., 2009), relieving lactose intolerance, anti-colorectal
cancer (Rafter et al., 2007; Liong, 2008) and antimicrobial activities, easiness in post-operative
intricacies (Woodard et al., 2009), reduction of irritable bowel symptoms (Moayyedi et al.,
2010), and hinder inflammatory bowel diseases (Golowczyc et al., 2007). Many experimental
works have manipulated the beneficial effects of non-viable probiotics by means of fermentation
(primarily by LAB), which include the procreation of secondary metabolites e.g. vitamin B,
bioactive peptides, exopolysaccharides, bacteriocin and organic acids. These metabolites are
soluble and can be spray-dried, which are added in the form of dried powder in food milieu.
Non-viable probiotics have certain benefits over viable ones including pro-long shelf life, easier
handling, transportation and storage facilities, and lessen refrigerated storage conditions.
Probiotics have shown direct and indirect effect on functional (fermented) food stuffs. Direct
effect indicates host-organism relationship while in-direct effects demonstrate the biogenic
upshot (due to taking in of microbial metabolites as a result of fermentation). This advances
towards the efficient consequences of probiotics that seems to be applied in non-dairy food items
as products related to chocolate, chewing gum, biscuit, honey, cereals, cakes, dressing, sweetness
and tea (Vinderola, 2008). In general, probiotic bacteria in the food industry provide somehow
difficulty in their multiplication and survival rate because of the distress conditions of
gastrointestinal tract. To ensure shelf-life of probiotics, novel probiotics are being designed
through microencapsulation technology that opposes environmental conditions. Various factors
32
could contribute to the beneficial aspects of probiotics but its proper mechanism of action is still
vague.
2.5.5 Use of probiotics in ruminants
Globally, ruminants are subjected as a momentous quality of tamed animal species, which act as
the suppliers of dairy and meat products. Among them, dairy cattle are demanded at peak and
marked as chief supplier. Ruminants are characterized as herbivores or relating of two suborders
of herbivores that chew the cud and have a complex 3 or 4 chambered stomach. The ruminant’s
stomach is divided into three pre-gastric chambers as rumen, reticulum and omassum. By far,
rumen is the chief component of ruminant’s stomach. Basically, rumen works for the
fermentation and hydrolysation of ingested plant matter and feed materials, while the rest of the
undigested particles and microbial cells surpass into the “abomassum” (the fourth chamber of
ruminant stomach) where gastric digestion takes place. Microbes in rumen provide healthy and
nutritious importance to host and human (Flint et al., 2008). This competency of ruminants has
been proved beneficial for mankind because of the fact that ruminants undergo conversion of
stored energy of plant mass into edible food products. The degree of nutrient consumption by
rumen microbes is based on enzymes that set out a need for the proper utilization of microbial
enzyme system which specifies the purpose and usage of microbial feed additives in an effective
way. Microbial feed cultures when provided orally in the animal body depict tolerance towards
gut environment, though they need to combat and endure the unusual surroundings of gut
(Agarwal et al., 2002). Prior to the establishment of pathogens into the gut, ruminants make use
of probiotic bacteria in such a manner that it supports and maintains the rumen flora and prevents
the animals from diseased and diarrheal conditions. It also reduces the weaning time, sustains the
balanced state of rumen microflora, and enhances the production of enzymes with better
utilization of fibrous foods. Particularly, Ruminobacter and Succinivibrio are supplemented as a
considerable source of probiotics with some unusual features in the rumen. The most commonly
used probiotic microorganisms are the members of lactic acid bacteria such as: Aerococcus,
Bifidobacterium, Brochothrix, Carnobacterium, Enterococcus and Lactobacillus (Chaucheyras-
Durand et al., 2010).
2.5.6 Efficacy of probiotics on farm animals
33
The microbial flora implies a great efficiency on the performance of animal’s gastrointestinal
tract. Microbial feed additives or supplements aids in the development and maintenance of
suitable type of microbiota in the GIT surroundings. Generally, there are two types of microbial
feed additives Lactobacillus and yeast culture. These two types of species play explicit role in
the host’s body i.e: Lactobacillus for the most part helps in the omission of enterotoxigenic
bacteria, while S.cerevisiae primarily aids in proper execution of rumen (Fuller, 1989). There has
been observed an increased mortality rate in calves because of diarrhea. The Lactobacillus
positioned itself in gastrointestinal tract and compete with the pathogens in order to combat
diarrhea (Abu-Tarboush et al., 1996; Fuller, 1989) while yeast culture animate microbiota to
have an effective microbial condition in side rumen (Wallace, 1996; Kumar, 1997; Enjalbert et
al., 1999). Panda et al (1995) reported that S. cerevisiae, as a feed additive, provides positive
impact on nutrients digestion, growth rate, and FCR in calves. Probiotics are used as viable
microbial feed additives in animal feeds that stimulate the growth pattern as well as health
benefits in the host animal (Barrow et al., 1980). Probiotics have imposed valuable consequences
in farm animals, which aids in enhancing digestion process, growth rate, feed conversion and
assimilation of essential nutrients (Fuller, 1989).
2.5.7 Mechanism of action of probiotics
There has been recommended numerous mechanism of action of probiotics which demonstrate
the upshots of probiotics in a positive way. Probiotic strains provide useful aspects with respect
to metabolic activities and survival rate in the gut (Chaucheyras-Duand and Durand 2010;
Chaucheyra-Durand et al., 2010). The probiotics generate its mode of action based on the
specifications of strains (Newbold et al., 1995). In case of monogastric, bacterial probiotics
produce organic, lactic or acetic acid which helps in the reduction of gut pH and prevention of
pathogens from colonisation. Thus, it aids in setting of much approving ecological environment
for the resident microbiota (Servin, 2004). The probiotic strains have the ability to release
“bacteriocins” that are antimicrobial peptides and help in growth inhibition of pathogenic
bacteria. Probiotics have potential to produce enzymes that enables the hydrolysation of bacterial
toxins (Buts, 2004). Several strains of probiotics show elimination of pathogenic bacteria (with
respect to their elevated affinity for nutrients or adhesive sites) (La Ragione and Woodward,
2003). Various probiotics show generation of such growth factors and nutrients that stimulate the
34
favorable microorganisms of gut microbiota. Probiotic also generate host interaction and produce
components that influence the mucosal expansion and metabolism of host’s intestinal cells
(Johnson-Henry et al., 2008). A few probiotics seem to have metabolic and detoxification
phenomena of definite inhibitory compounds for instance, amines, nitrates or hunting for oxygen
(anaerobic system of gut). Thus, the mechanism of probiotics demonstrates beneficial, nutritious
as well as healthful effects both for animal and human gut. Probiotic bacteria incorporate varied
and diverse affects on host. Though their exact mode of action is still unclear but they have
applied its mode of action on the basis of their effect on immune cell (like, epithelial, dendritic,
T and B cells monocytes or macrophages), GIT luminal conditions, function of epithelial barrier,
and the mucosal immunity (Zhang et al., 2007) (Figure 2.3).
.
Figure 2.3: Modes of action of probiotics; Antimicrobial activities are shown in (1)
Bacteriocins/defensins secretion (2) competitive inhibition with pathogens (3) prohibition of
bacteria from translocation or adherence purpose and (4) decreasing luminal pH. Intestinal
barrier function enhancement: (5) increase the production of mucus. Adapted by (Ng et al.,
2009).
2.5.7.1 Enhancement of gut microbial balance
35
Probiotic reduces the luminal pH, inhibits bacterial translocation and adherence properties and
produces antimicrobial substance or defensins. Thus, it aids in the alienation of pathogenic
bacteria from gut. In the gut, the microbial flora inhibits colonisation of pathogenic bacteria by
generating limitations in the physiologically restrictive environment such as pH, redox potential
and hydrogen sulphide production.
2.5.7.2 Enhancement of barrier function
By enrichment the intestinal barrier properties in the course of cytoskeleton modulation and
phosphorylation of tight junction proteins, probiotics promote mucosal (cell-cell) signaling and
provides cellular stability. Numerous organized methods facilitate the maintenance of intestinal
barrier purposes that primarily include chloride, mucus and water secretions and connection of
epithelial cells to their apical junctions through a proteins called tight junction (Watts et al.,
2005).This system aids in health benefit to host and probiotic bacteria restraining it from number
of diseases (Meddings, 2008).
2.5.7.3 Immunomodulation
2.5.7.3.1 Impact of probiotic on epithelial cells
The epithelial cells import significant variation at the point of signal transduction pathway and
production of cytokine which, implicit the differentiation of probiotics and pathogenic bacteria.
The signaling pathway permits different pathways to epithelial cells which enabling the
differentiation between probiotics and pathogenic organisms. In this mechanism, probiotics
hinder the degradation of the counter regulatory factor (IKB), which in turn attenuates the pro
inflammatory responses. On the contrary, pathogenic species stimulate the transcription factor
(NF-B) that provokes pro-inflammatory reaction in the intestinal epithelial cells. Probiotic strains
also facilitate in epithelial recovery or in case hinder apoptosis. Lammers et al. (2002) and Otte
and Podolsky (2004) performed a study on probiotic and found that a probiotic strain
“Lactobacillus rhamnosus GG”, in the epithelial cells of GIT, aids in the prevention of apoptosis
induced by cytokines.
2.5.7.3.2 Impacts of probiotic bacteria on dendritic cells (DCs)
DCs are commonly called as antigen presented cells used for the bacterial identification and
determination of the successive T-cell response. DCs perform specific functions in the gut. They
carry out oral tolerance induction via cytokines (IL-10 and TGF-β) that generate regulation of T
cells and immunoglobulin A producing B cells (Lwasaki and Kelsall, 1999; Akbari et al., 2001;
36
Williamson et al., 2002). GIT DCs assist luminal bacteria directly and indirectly. By direct
means, in the intestine lumen, they surpass their dendrites into the epithelial tight junctions and
indirectly by passing through M cells. Dendritic cells play its role in the junction of innate and
adaptive immunity, which supports reorganization and reaction of bacterial components that
cause initiation of primary immune response and T and B cell responses. There has been reported
a wide impact of probiotic on dendritic cells in various structures (monocyte and bone marrow
derived dendritic cells, dendritic cells of whole blood and dendritic cells of lamina propria) and
also in diverse species of human and mouse.
2.5.7.3.3 Impacts of probiotic bacteria on monocytes and macrophages
Probiotic bacteria induce direct influence on lymphocytes or they depict some nature of
modifications in dendritic cells or on macrophages that alters the stimulation response of
lymphocytes. These impacts have been figured out in B lymphocytes, natural killer cells and T
cells.
2.5.7.4 Effect of pro-prebiotic mixture
Probiotics are non-digestible constituents of food, when added in food or diet confers useful and
healthy affects to host and stimulate the growth of confined quantity of colon bacteria (Quan et
al., 1990). On the whole, probiotics are particular species of micro-organisms that act as a
transient flora and used as a supplements, whereas pre-biotics alternates the gut flora of the host.
The stability of the intestinal flora is frequently confronted by many factors that include:
environmental aspects (age and stress), infectious diseases (gastroenteritis), medications
(antacids and antibiotics) and several other factors. Species, recommended dose of
microorganisms and optimal duration of administration determine the degree of validity
regarding pre and probiotics (Thomas and Greer, 2010).
2.5.8 Pre-requirement for microbiota as feed supplements
Microbiota should exhibit the ability of carbohydrate fermentation and create short chain fatty
acids, which in turn causes reduction in intestinal pH. Short chains fatty acids endorse the
development of intestinal cells and involved in cell differentiation, in that way, promote the
assimilation and absorption process. They also take part in toxin neutralization. They hinder the
growth of various pathogens, act as a barrier via competitive elimination (commensal species
37
compete for the same sources of nutrients as potential pathogens). Intestinal bacteria sponsored
in the maturity of immune system both by structural and functional means, in host gut.
They generate the capability of immunoglobulins production that sustains the proficiency of the
immune system. The probiotic strain are resistant to the enzyme present in oral cavity. It endures
the gastric acid environment, irrespective of the contact with the bile and pancreatic juice (in
upper small intestine). It should not be sensitive against antibiotics. Adherence to the intestinal
cells (epithelial lining) and release of antimicrobial compounds are also important features of
probiotics that behave as a competitor against estrogens (pathogens) which lessen down its
subsistence. Probiotics owned certain characteristics that fulfill the following salient features:
gastric acid and bile salt tolerance (gastro-intestinal conditions), adherence capability to the
mucous lining in GIT tract, non-toxic, non-pathogenic and without any detrimental effects, in-
vivo and in-vitro survival in GIT, and competitive elimination of pathogens from the track
maintenance of viable cell product in sufficient quantity.
2.5.9 Selection criteria for potential probiotics
2.5.9.1 Bile tolerance effect
Bile is a yellowish green aqueous solution mainly consists of cholesterol, phospholipids, biliverd
in pigment and the bile acids (Carey and Duane, 1994, Hofmann, 1994). Bile synthesis occurs in
the pericentral liver cells, stored and accumulated in the gall bladder, and after ingestion,
released into the duodenum. Bile plays its role in solubilisation and emulsifying of lipid contents
and supports fat assimilation. Thus, it can act as a biological detergent that also represents strong
antimicrobial activity by terminating bacterial membranes (Begley et al., 2005). Primarily,
denovo synthesis of cholic, chenodeoxycholic and bile acids takes place in the liver (from
cholesterol). There is an effective preservation of bile salts under usual conditions by means of
“enterohepatic recirculation” process. By means of active transportation, conjugated and
unconjugated bile acids are assimilated in the terminal ileum while in the gut portion by passive
diffusion (Batta et al., 1990). Hepatocytes reabsorbed bile acids in the portal bloodstream, which
is then re-conjugated and re-secreted in the form of bile. Native intestinal flora modifies the
overall bile acid and around 5% of overall bile acid (0.3-0.6g/day) evades epithelial
incorporation (Bortolini et al., 1997). “Deconjugation” is the fundamental step occurs before
modifications. Bile salt hydrolase (BSH) enzyme catalyze the deconjugation process in which
38
amide bond are hydrolyzed and glycine/taurine components are released from the steroid core.
This results in liberation of deconjugated bile acids (Batta et al., 1990).
2.5.9.2 Incidence of BSH activity among bacteria
BSH activity has been reported in many bacterial species including Bacteroides,
Bifidobacterium, Clostridium, Enterococcus, and Lactobacillus. Among them, Bifidobacterium
and Lactobacillus are normally applied as a source of probiotics, whereas, Enterococcus,
Clostridium, and Bacteroides are also remarked under commensal or probiotic category, and act
as normal residents of gastrointestinal tract. Almost all gram positive bacteria of intestinal tract
(except for few bacteroides) possess positive BSH activity, while gram negative bacteria lack
this activity (Elkins and Savage, 1998; Moser and Savage, 2001; Ahn et al., 2003). Listeria
monocytogenes, a notorious pathogen of gastro-intestinal tract and is gram positive. Basically, it
is not believed as a constituent of gastrointestinal flora but it has BSH enzyme. On this basis, its
position is recommended on the edges of commensal and pathogenic species. Besides this,
Enterococcus faecalis act as an opportunistic pathogen also have a BSH homolog (EF0040;
AAM75246) found near pathogenic boundaries, but it is not properly characterized uptil now
(Shankar et al., 2002).
2.5.9.3 Cholesterol assimilation
One of the properties of probiotics is to reduce the effect of cholesterol. The mechanism lies
behind cholesterol assimilation is the deconjugation of bile slats through microbes that show
rapid transit in the small bowel (Gilliland, 1990). Probiotic bacteria boost up or produced a
number of factors by which cholesterol synthesis is restrained in the body (Mann, 1977). In
addition to cholesterol lowering effect, probiotic bacteria also play its vital functions by
mounting phenol tolerance, neutralizing the latent carcinogens, provoking immune response and
metabolic activities, and reducing constipations. Cholesterol-lowering effect by probiotic
bacteria has been suggested in vitro, on the basis of recommended hypothesis that exhibit the
deconjugation of bile acids, binding to cell wall of bacteria, lowering of cholesterol by bacteria,
and the fermentation of short chain fatty acids (particularly propionate) and its end-products by
physiological actions. These purposed mechanisms of cholesterol lowering effect have been
applied on humans and animals studies but the exact mechanism of action on probiotic bacteria
is still ambiguous (Gilliland et al., 1985; Klaver and Vandermees, 1993; Tahri et al., 1996, 1997;
Noh et al., 1997; Usman, 1999; Lin and Chen, 2000).
39
2.5.9.4 Anti-microbial activity
The Lactic acid bacteria (as a potential probiotic) also contribute towards the advancement of
anti-microbial compounds. Among these compounds, bacteriocins are the most noticeable
proteins or peptides, which are synthesised by ribosomes and destroy the pathogenic bacteria
(Corr et al., 2007). Hence, bacteriocins produced by LAB are being used as a putative agent for
probiotics as well as biological control agents. Unusual antimicrobial compounds by LAB are
categorized under high molecular mass and low-molecular mass compounds. High molecular
mass includes bacteriocins like compounds, which can counter act the pathogenic and spoilage
causing bacteria in foods. Low molecular mass include uncharacterized compounds, carbon
dioxide, diacetyl and H2O2 (Jay, 1982; Klaenhammer, 1988. Piard and Desmazeaud, 1991;
1992). Uptil now, a variety of bacteriocins have been ascertained such as: Streptococcus
salivarius has produced a new type of bacteriocin, Enterococcus avium produced avicin A (class
IIa) and another (class IIa) production from Enterococcus faecalis strains. Some sorts of
unknown bacteriocins are also reported in which Lactobacillus gasseri generate two-peptide
gassericin, Lactobacillus fermentum and E. faecalis encodes uncharacterized bacteriocins, two
from L. fermentum and one from E. faecalis.
2.5.10 Classification of probiotics
2.5.10.1 Lactic acid bacteria
Lactic acid bacteria (LAB) act as a chief ingredient in probiotics and are being applied in
production and preservation of fermented probiotic food. LAB assures curative and dietetic
(nutritious) health benefits as: low calorie sugar and vitamins production, lessening the threats of
diarrhea (Briand et al., 2006, Myllyluoma et al., 2007), immunomodulation (Baken et al., 2006),
hindrance of cancer (Chen et al., 2007), anti-mutagenic activities (Hsieh and Chou, 2006), and
diminish serum cholesterol intensity (Xiao et al., 2003, Liong and Shah, 2005). The LAB is
speculated as G+ with low CG content. LAB are generally non-spore producing non-respiring
cocci or rods, acid-tolerant and catalase negative.
Many LAB strains produce “bacteriocins” which are proteinaceous in nature and act as a barrier
against pathogenic microflora. LAB are responsible for decomposing plants and lactic products
resulting in the production of metabolic end-products during carbohydrate fermentation.
Commonly, LAB are more precisely used in the food industry. Industrially, they are recognised
40
under the category of “generally recognised as safe” (GRAS), because of their ubiquitous nature
and their role with healthy microflora present in the mucosal surface of human. Lactic acid
bacteria are comprised of variety of genera which include: Lactobacillus, Leuconostoc,
Pediococcus, Lactococcus, Streptococcus and rest of the genera as Aerococcus, Carnobacterium,
Enterococcus, Oenococcus, Sporolactobacillus, Vagococcus, Tetragenococcus are included in
the order Lactobacillales (Sonomoto, 2011). Some of LAB genera have been described under
following categories.
2.5.10.1.1 Lactobacillus
The genus Lactobacillus is the largest group of Lactobacillaceae family.
Majority of Lactobacillus are rod-shaped and gram-positive based on its morphological
characterization. They are aerotolerant and strictly fermentative; however, they can also be
grown under anaerobic environment (Kandler, 1986). Based on their ability of fermenting
sugars, Lactobacillus are divided into two categories:
1. Homo-fermentative specie (mostly convert sugars into lactic acid)
2. Hetero-fermentative specie (convert sugars into lactic acid, acetic acid, ethanol and CO2)
Lactobacillus species are profound in plants, raw milk, insects, animals, and other ecological
niches. They are being well employed as food preservatives, starter for dairy items, in fermented
vegetables, sausages, fish and in addition to silage inoculants. Based on its prospective
prophylactic and therapeutic properties, Lactobacillus have been nominated as a potent source of
probiotics (Hammes and Vogel, 1995).
2.5.10.1.2 Leuconostoc
Leuconostoc belongs to Leuconostocaceae family. Usually, they exhibit cocci-shaped in the form
of chains, gram-positive, catalase-negative, slime forming and are hetero-fermentative.
Leuconostoc is liable to cabbage (sauerkraut) fermentation along with the combination of
Pediococcus and Leuconostoc, converts sugars into lactic acid that offer sour essence and
provides good keeping qualities. On the fact of their competence of creating “stinking”, they are
also seemed to be competent for human infections for which standard kits are easily available for
their identification (Kulwichit et al., 2007).
2.5.10.1.3 Pediococcus
Pediococcus also belongs to family Lactobacillaceae, a genus of gram positive lactic acid
bacteria. Generally, they suggest themselves in couplet form or in tetrads. Like Leuconostoc, it
41
ids in cabbage fermentation and arise stinky odour. Some isolates of Pediococcus producebutter
scotch aroma in some beer and wine (chardonnay). It is also used in silage inoculants. With
respect to its probiotic efficiency, Pediococci are appended as production of cheese and yogurt
(Haakensen et al., 2009).
2.5.10.1.4 Lactococcus
Previously, Lactococcus were placed in Streptococcus group N1, but now it belongs to genus
LAB. One the basis of its glucose fermentation property, they are recognized as homo-
fermentators, and are gram-positive, catalase negative and non-motile cocci. They are usually
present in singlet, paris and in chain form. It has been further sub-catagorised as: L. lactis, L.
garvieae and L. piscium. These organisms generate wide impact in dairy industry as in
fermentation of dairy products, such as cheeses. They are used in the form of single-chain starter
or in mixed strain culture. The most important function of Lactococcus is being applied in rapid
acidification of milk, which drops the pH and inhibits the growth of spoilage bacteria.
2.5.10.1.5 Streptococcus
The genus streptococcus belongs to the phylum Firmicutes. They usually grow in chains or in
pairs, and are catalase and oxidase negative. Several of them are facultative anaerobes. This
genera approximately include more than 50 species (Facklam, 2002).
2.5.10.1.6 Enterococcus
Enterococcus also shares the same characteristics as of lactic acid bacteria such as, gram positive
cocci and facultative anaerobes (Giraffa, 2003). Enterococci undergo commensalisms and inhibit
the GIT of animal and human. Enterococci seem to be screened out from variety of food sources
(meat, milk, cheese). They have high survival rate in harsh and extreme conditions e.g. they can
resist 65% NaCl, pH as well as high heat. They can also be isolated from variety of soils, raw
plants, surface water and animal products (Giraffa, 2003; Cocolin et al., 2007). Enterococci also
import flavour and contribute in ripening of various types of food.
2.5.10.2 Yeast probiotics
Yeasts are eukaryotic microorganisms and are different from bacteria from structure and
functional point of view (Faria-Oliveira et al., 2013). Yeasts are facultative anaerobes and differ
in terms of their location, shape, reproducing activities and subtracts they utilize and are highly
42
resistant to different antibiotics, like sulfamides and other anti-bacterial substrates (Stone, 1998).
The resistant capability of the yeast cells is natural and genetical. That resistant cannot changed
or transmitted to other microbial species. The size of the yeast cell (5 x 10 μm) is also higher
than bacteria (0.5 x 5 μm). Yeast cells produce many important fermentation metabolites like
protein, carbohydrates, high potency vitamins, and different types of important minerals and
enzymes that make it useful and highly nutritive feed supplement for ruminants (Yalcin et al.,
2011; Sontakke, 2012; Szucs et al., 2013). During the last decades, Saccharomyces cerevisiae
(live yeast) have been used as preventer supplement against diarrhea and other digestive system
problems in livestock (Chaucheyras-Durand and Durand, 2010). Production benefits, together
with reduces digestive problems and better health in case effective manners (Huber, 1997).
Mode of action of YC has been investigated in many studies. The results of these studies
have different outcomes. Speculating regarding the action of YC (S. cerevisiae) has been
brought forward and the proposed mode of actions are discussed here.
2.5.10.3 Mode of action of YC in the rumen
Ruminants stomach consists of reticulum, rumen and omasum and abomasums (Jouany and
Morgavi, 2007). The rumen is an anaerobic chamber, harbors an immense diversity of
microbial community, including, bacteria, archaea, fungi, and single-celled ciliated protozoa
(Carberry et al., 2012) (Figure. 2.4). Bacteria are more numerous microbes in rumen (Fonty and
Chaucheyras-Durand, 2006). Mostly bacteria are associated with feed; some are free living,
attached with mucous membrane and associated with fungi and protozoa. The structure of
rumen microbial community is influenced by many factors, including host species, age,
season, type of feed, geographical location and whether the animal has received any
treatment (Dehority and Orpin, 1997; Weimer et al., 1999; Weinberg, 2003). The balance in
rumen microbial flora plays a crucial role in feed utilization and could result in better animal
productivity (Santra and Karim, 2003). Several hypotheses concerning the mode of action of
probiotic yeast in animal nutrition have been proposed, but most of them emphasize positive
effects by modifying rumen microbial population. The first and most widely supported mode
of action is that the yeast stimulated the growth of bacteria (cellulolytic, amylolytic,
proteolytic) and protozoa (Arakaki et al., 2000; El-Ghani, 2004). The rumen dissolved oxygen
can be measured in situ (Hillman et al., 1985). Loesche (1969) found that majority of rumen
microbial flora are highly sensitive to O2. Probiotic yeasts remove oxygen from rumen and
43
provide a more anaerobic environment for bacterial growth Rose (1987). Sixteen liters of oxygen
can enter inside rumen daily. Mostly that O2 entered during feeding, rumination and salivation
time (Newbold, 1995). Inside rumen, yeast cells use oxygen for their metabolic process. Freshly
ingested feed particles have sugars and small oligosaccharides. Probiotic yeast metabolizes these
small particles and produce peptides, polypeptides and amino acids.
That respiratory activity of probiotic yeast lowers the oxidation reduction potential inside rumen
(Dawson et al., 1990). A negative change in the redox potential (-20mV) has been seen in side
rumen with probiotic yeast addition (Jouany et al., 1999). This change gives more anaerobic
condition inside rumen (Dawson et al., 1990). Above mention environment helps in the
protection of rumen bacteria from damage by oxygen, and stimulation of growth of cellulose
degrading bacteria (Roger et al., 1990). These conditions will also be helpful in the cellulose
degrading process (cellulose digestion). Respiratory-deficient mutants of probiotic yeast cannot
stimulate bacterial growth. As we mention earlier that O2 scavenging property of yeasts is very
important for growth of rumen microbial biomass, so this O2 scavenging property should be kept
in mind when probiotic yeast is selected for ruminants. It has been well studied that yeast culture
can help the establishment of different types of microflora in neonate. Newborn ruminant
digestive system is sterile but with passage of time when he contacts with his mother and other
animals they get microbes from their saliva and feces (Chaucheyras-Durand et al., 2008). The
mother and her young connection is more common in small scale farming systems. On the other
hands in intensive dairy farming systems the neonate is alienated from the mother, and is fed on
solid feeding that provides a negative situation in the development of rumen microflora (Fonty
et al., 1987). This negative situation leads to poor rumen microbial development and making the
neonate to suffer from different diseases. Different diseases of digestive system are most
important factor of low income heifer’s rearing. In has been well studied that yeast culture can
help the establishment of different types of microflora in neonate by removing the oxygen from
rumen.
44
Figure 2.4: Estimated rumen microbial ecosystem
The
rate
of
cellulose degrading microflora population was greater in lambs fed on S. cerevisiae addition
(Chaucheyras-Durand and Fonty, 2008). S. cerevisiae had the ability to provide different types of
organic acids or vitamins, those stimulating ruminal populations of cellulolytic bacteria and LUB
(Chaucheyras-Durand et al., 1995). The cellulose degrading microbial population was also much
stable in the animals fed on yeast addition because protozoa comes in rumen only once the
bacterial species are present rumen. It has been also noted that protozoa appeared earlier in those
animals whose fed on S. cerevisiae addition (Chaucheyras-Durand and Fonty, 2002) (Figure.
2.5). Amylolytic bacterial populations are also affected by yeast in the rumen (Arakaki et al.,
2000). It is because the protozoal concentrations are proliferated and are able to store starch and
postpone bacterial fermentation (Enjalbert et al., 1999).
45
Figure 2.5: Representative scheme of the mode of action of S. cerevisiae. Adapted by
(Wallace, 1994).
Proteolytic bacterial activity was highest in the yeast supplemented animals. Proteins in the feed
are quickly breakdown into peptides, amino acids and NH3 by different protozoa and fungi inside
rumen (Wallace et al., 1997). Some NH3 is converted into microbial protein (MP), and some
ammonia is used by the animal in the form of urea. An important portion of rumen ammonia is
excreted and represents a indicated that nitrogen loss of the dietary nitrogen (N) intake (20 to
25%) (Fonty and Chaucheyras-Durand, 2006). Amino acids and peptides issued from dietary
proteins cannot be directly slipped in the animal intestine, if the diet has highly nutritious value.
46
The same effect on ammonia concentration was seen with daily yeast culture supplementation in
adult ruminants (Kumar et al., 1994). In vitro findings tell that probiotic yeast could alter the
growth and activities of protein degrading bacteria, which ultimately enhanced the protein
digestion inside rumen (Beev et al., 2007). The mode of action of yeast can be explained by a
fight between live S. cerevisiae cells and different bacterial species for energy utilization
(Chaucheyras-Durand et al., 2005). A study on 14 dairy cows field trials addition of yeast strain
in the diet noted that the soluble nitrogen of the diet was a key factor to drive the production
parameters to the probiotics-yeast (Sniffen et al., 2004). However, with other yeast strain no
significant effect was seen on the concentration and fraction of microbial nitrogen in dairy cattle
(Putnam et al., 1997). Further study is needed to explain the effect of probiotic yeast on the
nitrogen microbial metabolism (Chaucheyras-Durand and Durand, 2010). Many study showed
that increased feed intakes are driven by increased flow of absorption nitrogen (Wallace, 1994;
Kamel et al., 2004).
This step stems simultaneously from the proliferation and stimulation of viable cell counts of
anaerobic bacteria population. Higher ammonia nitrogen concentration measured for vessel in
which live yeast was added compared to autoclaved yeast suggest that, the live yeast stimulated
the proteolytic activity of the rumen bacterial species which ultimately influence rumen
fermentation (Oeztuerk, 2009). It was noted that digestibility of crude protein was significantly
higher in animals fed on the mixed fugal (yeast and Aspergillus) supplementation, and
suggesting that fungal supplementation might be promote proteolytic activities by supplying
some types of stimulatory factors (Wiedmeier et al., 1987). Many studies showed that animals
fed on the yeast supplementation has been associated with higher concentration of ammonia
nitrogen, which may suggest that proteolytic bacterial activity has been stimulated by yeast
culture (Kung et al., 1997; Moallem et al., 2009). The second proposed mechanism is that yeast
cell provides the soluble growth factors like, organic acids, branched-chain volatile fatty acids,
vitamins and amino acids, that have a positive effect in stimulating cellulolytic, proteolytic and
lactic acid utilizing bacteria (Wiedmier et al., 1987; Newbold et al., 1996; Callaway and Martin,
1997).
2.5.10.4 Effect on yeast and yeast cultures on rumen fiber digestion
47
Fiber is non-digestible polysaccharides (a complex form of carbohydrate) (Tungland and Meyer,
2002). These polysaccharides give plants their structure-think plant cell wall. In nutrition, the
term fiber define as a components of plant that are not digestible by mammalian enzyme (Moore
and Hatfield, 1994). Cellulose, hemicellulose and lignin are the primary components of
fiber. Cellulose and hemicelluloses constitute 15–70% of most ruminant diet (Hobson and
Stewart, 1997). Cellulose is the most abundant carbohydrate in plant cell wall. Chemically,
cellulose is made up of linear chains of the sugar molecules. In cellulose, glucose molecules are
linked together in a β-1,4 links, and this linkage can only be digested by microbial cellulolytic
enzymes. Cellulose makes up about 40% of plant cell walls. Hemicellulose is also be only
digested by microbial enzymes because it also have β-1,4 linkages. Hemi-cellulose has a strong
negative effect on fiber degradation because of closely association with lignin (Fernando et al.,
2010) (Figure 2.6). The rumen is an important part of the ruminants’ stomach because; cellulose
is broken down into simple sugar that can be used by the animal body inside rumen. The rumen
represents a mobile, self-sustaining fermentation system for plant material (Flint, 1997; Shakira
et al., 2013). It is a complex microbial ecosystem and contain many types of microorganisms like
of bacteria (1010–1011 cells per ml), protozoa (104–106 per ml) and fungi species (103 -105
zoospores per ml) (Kamra, 2005; Fernando et al., 2010).
2.5.10.4.1 Fibrolytic bacteria
Rumen bacteria (1011 viable cells/ml10) dominate the fermentation both in terms of numbers and
metabolic processes. The rumen bacteria are 99.5% obligatory anaerobic. In rumen 200 species
with many subspecies of bacteria are present.
There are different kinds of bacteria in the rumen which aid in fermentation process (Cho et al.,
2006; Chaucheyras-Durand et al., 2008). Fibrobacter and Ruminococcus are the main rumen
fibre
degrading
bacteria in
cattle
48
(Kobayashi et al., 2008; Kim et al., 2011). F. Succinogenes is a gram-negative and rod-shaped
anaerobe first isolated from the cattle (Hungate, 1950). Despite their important role, cellulose
degrading bacteria are thought to only comprise 0.3% of the total bacteria population inside
rumen (Brulc et al., 2011). Rumen bacteria are classified into fibrolytic, amylolytic, pectinolytic,
proteolytic, lipolytica, lactate using bacteria and hydrogen-using bacteria. Amylolytic bacteria
ferment starch while fibrolytic bacteria involve in the fermentation of fiber. Different bacterial
populations dominate the rumen fermentation depending on the type of feed. Cattle fed high
fiber diet will have a ruminal bacterial population that is high in fibrolytic bacteria especially
Ruminococcus ssp. Rumen bacteria mainly involved in the fermentation of fiber, starch and
sugar in the feed.
Figure 2.6: Components of fiber and its classification. (Yarriage, 1981).
2.5.10.4.2 Fibrolytic fungi
Ruminal anaerobic fungi, an emerging group of animal probiotics, account for
only approximately 8% of the total rumen microbial biomass in ruminants (Orpin and Joblin,
1988). Rumen fungi has a crucial role in the degradation of fibre material (Theodorou et al.,
1989; Samanta et al., 2001; Paul et al., 204; Lee et al., 2004; Thareja et al., 2006; Tripoathi et
al., 2007). The fungi have an important role in fiber digestion because of the vegetative thalli
rhizoids (Figure 2.7). The rhizoids have a more penetrating capability to plant cell wall as
compared to bacteria and protozoa. Degradation of lignin of the plant cell wall is an main
characteristic of rumen fungi (Mountfort et al., 1982; Akin and Benner, 1988). Fungi degraded
37–50% of barley straw. The fungi fibrolytic activity is enhanced by hydrogen-utilizing
methanogens which decrease the cruel effect of hydrogen (Orpin and Joblin, 1988; Joblin, 1989).
Fungi play an active and significant role in fibre digestion of low quality roughages by breaking
the beta-1-4 linkages between lignin and hemicelluloses inside the plant cell (Tripathi et al.,
2007). Fungi have a positive role in fiber degradation as evidenced by producing a wide array of
potential hydrolytic enzymes (Williams and Orpin 1978; Samanta et al., 2001; Paul et al., 2003;
Lee et al., 2004).
49
2.5.10.4.3 Protozoa.
In vitro studies have suggested that 19-28% of the total cellulase activity in fiber digestion can
be attributed to protozoa (Gijzen et al., 1988). However, digestion seems to be limited to very
susceptible tissue such as mesophyll cells (Akin, 1989). Studies have demonstrated that
defaunation (removal of protozoa) reduces the rate of fiber/cell wall degradation digestion
(Bonhomme, 1990; Yang and Varga, 1993). However, in the absence of protozoa there is an
increased requirement for non-proteinnitrogen (NPN) because of an increase bacterial
population. A reduction of N may therefore account in the reduction in fiber digestion (Ushida
and Jouany, 1990).
Figure
2.7: A
model of
interactio
n of yeast
cells with
rumen
microbes
(Jouany,
2006).
2.5.10.5 M
ode of action of probiotic yeast in the post-ruminal GIT
The gastrointestinal tract (GIT) inhabits multifarious microbial diversity that helps in generating
impactive response regarding nutritious, health, physiology, and productivity of animals
(Guarner and Malagelada, 2003). The existing gut microbiota regulates food safety through
shedding of pathogens, interaction with organisms, and resource competition in the GIT (Nurmi
and Rantala, 1973). The physiological, anatomical, and immunological status of the host is
50
strongly dependent upon micro-biota of GIT which facilitate essential functions to host. GIT
micro-flora aids in stimulation of the immune system that act as a barrier against infectious
pathogens. It also restrains the injurious and pathogenic bacteria in gut colonization (Cebra et al.,
1999). The micro-flora that resides in GIT mostly belongs to Bacteroides, Bifidobacterium,
Clostridium, Eubacterium, Fusobacterium and Lactobacillus families. Of all intestinal
microbiota, Enterococcus and Escherichia coli represent the least contribution (upto1%),
whereas, anaerobes show dominancy over microaerophiles and facultative anaerobes by 1000:1
(Mestecky and Russell 1998). Lactobacillus and Bifidobacteria are marked as predominant flora
which counts for 90% of the total population in GIT. The fluctuating flora represents their
existence in trace i.e. less than (0.01%) which is usually considered as more diversified and
pathogenic ones (Tournut, 1993). The GIT microbiota protects the host from pathogen that
produced digestive diseases like diarrhea. The performance of the calf is directly related to the
efficient growth together with improve health status (Soberon et al., 2012). Gut microbial flora
plays an important role in the growth and health of the animal. Probiotics put a beneficial effect
on the health of gut by improving its microbial balance. They have antidiarrheal capability and
enhance the growth performance of the animals (Donovan et al., 2002; Soberon et al., 2012).
The intestinal microbiota of cattle performs its vital role in the fermentation process. They help
in methane emission by means of fermentation both from rumen and large intestine (Johnson and
Johnson, 1995).
The microbial diversity in the GIT of the dairy cattle has lot of impact on the productivity and
wellbeing of the cattle (Guarner and Malagelada, 2003; Eckburg et al., 2005; Dowd et al., 2008;
Engelbrektson et al., 2010). There is no direct evidence that yeast or fungal extracts affect
digestion or metabolism in the lower gut. However, the potential for such effects should not be
ignored (Elghandour et al., 2015). Supplementation of yeast can improves the gut microbial
balance of different animals. That improvement can be due to either the effect of mannan-
oligosaccharides (MOS, a component of yeast cell wall) on the immune modulation or direct
effect of yeast on the reduction of pathogenic bacteria and toxic metabolites. According to the
finding of the Heinrichs et al. (2003), MOS has an ability to bind selected pathogen due to
blocking microbial lecithin and preventing pathogens from colonization in host GIT. As noted,
51
previous inquiries regarding feeding DFM to ruminant animals focused on its potential beneficial
effects on the post ruminal GIT. Proposed roles of beneficial yeast are to:
I. Attach to the intestinal mucosa and prevents potential pathogen establishment.
II. Maintain lower pH in the GIT thereby inhibiting growth of pathogens.
III. Produce antibacterial compounds such as bacteriocin and hydrogen peroxide.
IV. Modulate immune cells and stimulate immune function.
V. Modulate microbial balance in the GIT.
VI. Prevent illness caused by intestinal pathogens or stress.
2.5.10.6 Effect of probiotic yeast on the growth performance
Poor growth performance in growing animals is associated with imbalanced nutrition. The use
of probiotic yeast would minimize the expenditure of replacement heifers with optimum growth
rate. Young animals fed on diet supplemented with yeast culture gain more weight than non-
supplemented animals. That improved growth performance in young animals fed on the
probiotic yeast has been reported in many studies (Lascano et al., 2009; Desnoyers et al., 2009).
Increased microbial protein (MP) flow from the rumen for absorption in the intestine and also
the improve supply of amino acid entering the small intestine was the basic reason for improve
growth efficiency in the dairy animals fed on diet supplemented with YC (Devriese et al., 1992;
Panda et al., 1995; Rao et al., 2003; Reddy and Bhima, 2003; Kishan and Ramana, 2008). In an
recent experiment on claves, Terre et al. (2015), noted that daily gain was significantly (P<0.05)
increased (0.68 vs. 0.55 kg/day) in the probiotic yeast supplemented dairy claves than that of
non-supplemented calves during the pre-weaning period. On the other hand, during the post-
weaning period, DMI was significantly (P<0.05) improved (2.34 vs. 2.10 kg) and daily gain was
also greater (P = 0.053) in supplemented claves than non-supplemented calves (0.82 vs. 0.68
kg/d). In the same manners, (Lesmeister and Heinrichs, 2004) reported that probiotic yeast
supplementation (2% per animal) significantly (P<0.05) improve the DMI which leads to
higher ADG (15.6%) in dairy claves when compared with the control. The daily hip width
change was also significantly (P<0.05) improved in the claves compared to the control. Dairy
heifers supplemented with yeast culture (S. cerevisiae) consumed significantly (P<0.05) less
feed to maintained average daily gain as compared to the non-supplemented heifers (Lascano et
al., 2009). Kumar et al. (2011) study the effect of SC (0.25g/day) on the growing claves and
noted significantly (P<0.05) improved (5.49 vs 4.62 kg/day) weight gain and correlated that
52
improved growth efficiency with significantly (P<0.05) improved DMI (5.24 vs 4.60 kg/day). In
contrast, the lack of yeast culture effect on the growth performance has previously seen with
animals. Like, Kellems et al. (1990); Quigley et al. (1992); Kung et al. (1997) and Pinos-
Rodriguez et al. (2008) observed no significant effect of the YC supplementation on the dairy
animals. That inconsistency in YC effects on the ruminant might be due to the different feeding
pattern and different genotype.
2.5.10.7 Effect of YC on the digestive performance
Digestibility measures the amount of a nutrient in a feed available for the process of metabolism
after digestion and absorption (Cheeke, 1991). There are many factors that affect the nutrient
utilization and untimely animal performance. Many researchers suggested that yeast
supplementation has significantly influenced the DM, OM, CP, CF, NDF and ADF digestibility.
2.5.10.7.1 Dry Matter Digestibility (DMD)
DMD has significantly increased in animal fed on the diet supplemented with probiotic yeast
compared to animals fed on non-supplemented diet. Wiedmeier et al. (1987) observed the effect
of dietary supplementation of yeast culture and Aspergillus oryzae in the non-lactating cattle and
found that DMD was increased by the fungal stains supplementation. Similar results were
reported by Lascano et al. (2009), who found significantly (P<0.05) improved DMD (74.98 vs
73.65%) in the dairy heifers fed on the high concentrate diet along with S. cerevisiae at the rate
of 1 g/kg as fed daily. He concluded that improved DMD may contribute to an improved feed
efficiency in the dairy heifers. In the same manners, Mir and Mir (1994) conducted the
experiment on the steers to see the impact of adding S.cerevisiae (5 × 109 live organism) at the
rate of 10 g/day along with diet consists of 96 % corn silage, 75% alfalfa silage, 75 % dry rolled
barley, 25% barley, 25 % alfalfa hay and 4 % soybean meal for 2 years. It was found that DMD
significantly (P<0.05) influenced by the YC supplementation in the second year of the
experiment. In another report, Di Francia et al. (2008) observed the effect of fugal
supplementation in the buffalo claves and noted that significantly (P<0.05) higher (81 vs 71%)
DMD in the animals fed on the diet supplemented with fungus (S. cerevisiae and Aspergillus
oryzae). Miller-Webster et al. (2002) carried out experiment on the lactating cattle to determine
the effect of dietary addition of two different yeast cultures (A-Max and Diamaond; S. cervisiae;
57 g/animal daily) on the nutrient digestibility. It was noted that both yeast cultures products
53
improved DMD in dairy cattle. On the other hand many scientists (Harris et al., 1992; Doreay
and Jouany, 1998; Patrignani et al., 2006; Cooke et al., 2007; Tripathi and Karim, 2010) reported
no significant effect of yeast on the DMD in animals.
2.5.10.7.2 Organic Matter Digestibility (OMD)
In a meta-analysis it is noted that the OMO significantly improved due to yeast supplementation
in the ruminants (Desnoyers et al., 2009). Yoon and Stern (1996) reported that, dietary
supplementation of yeast (S. cerevisiae at the rate of 57 g/ d/animals) along with a basal diet
(32.5% corn silage, 17.5 % alfalfa hay, 35.3% corn grain and 12.7% soybean meal) significantly
(P<0.05) improve OMD in the dairy cattle. Increased OMD effect linearly increased with dose,
however, that improved digestibility was negativity correlated with percentage of concentrate
ration and positivity correlated with dry matter intake (Desnoyers et al., 2009). In another report,
Lehloenya et al. (2008) observed that OMD significantly (P<0.05) increased (75.2 vs 67.6%) by
yeast addition in steers. Marden et al. (2008) carried out research to evaluate the impact of YC
on the OMD in dairy cattle. It was reported that YC significantly (P<0.05) higher (66.6 vs
62.2%) OMD in early lactating Holstein cows. Di Francia et al. (2008) reported that fugal
supplementation was significantly (P<0.05) higher (83 vs 74%) OMD in claves. On the other
hand, El-Ghani (2004) and Tripathi and Karim (2010) reported that yeast supplementation has no
effect on the OMD in animals.
2.5.10.7.3 Crude Protein Digestibility (CPD)
Proteins in the feed are quickly breakdown into peptides, amino acids and NH3 by different
protozoa and fungi (Wallace et al., 1997). Some NH3 is converted into microbial protein (MP),
and some ammonia is used by the animal in the form of urea. An important portion of rumen
ammonia is excreted and represents a indicated that nitrogen loss of the dietary nitrogen (N)
intake (20 to 25%) (Fonty and Chaucheyras-Durand, 2006). Amino acids and peptides issued
from dietary proteins cannot be directly slipped in the animal intestine, if the diet has highly
nutritious value. The same effect on ammonia concentration was seen with daily yeast culture
supplementation in adult ruminants (Kumar et al., 1994). In vitro findings tell that probiotic
yeast could alter the growth and activities of protein degrading bacteria, which ultimately
enhanced the protein digestion inside rumen (Beev et al., 2007). The mode of action of yeast can
be explained by a fight between live S. cerevisiae cells and different bacterial species for energy
utilization (Chaucheyras-Durand et al., 2005).
54
Mir and Mir. (1994) conducted the experiment on the steers to evaluate the effects of adding S.
cerevisiae (10 g/d) on nutrient digestibility. It was noted that CPD significantly (P<0.05)
influenced by the yeast addition in the second year. In another report, Di Francia et al. (2008)
carried out research to evaluate the impact of dietary supplementation of fungal strains in the
claves and noted significantly (P<0.05) higher CPD in the animals fed on the diet supplemented
S. cervisiae and Aspergillus oryzae. In the same manner, (Wohlt et al., 1998) conducted
experiment on early lactating cattle to observe the impact of yeast on nutrient digestibility. Cattle
fed corn silage along with 0, 10 or 20 g of yeast culture per day. He noted significantly (P<0.05)
higher (78.5, 80.8 and 79.5%) CDP with 0, 10 or 20 g yeast per day respectively in yeast fed
groups. A study on 14 dairy cows field trials addition of yeast strain in the diet noted that the
soluble nitrogen of the diet was a key factor to drive the production parameters to the probiotics
yeast (Sniffen et al., 2004). However, with other yeast strain no significant effect was seen on the
concentration and fraction of microbial nitrogen in dairy cattle (Putnam et al., 1997). Some
researchers reported that CPD was no improved by YC supplementation in animals (Arambel
and Kent, 1990; Andrighetto et al., 1993)
2.5.10.7.4 Crude Fibre Digestibility (CFD)
In ruminant, fiber digestion has been regulated by four major factors; 1) structure and
composition of the plant which control bacterial access to nutrients; 2) main fibrolytic
microorganism’s number and their nature; 3) different factors retaled to growth and function of
microfloa that control penetration and degrationa of microbial populations; 4) different factore
related to animals that increase the nutrients utilzation by the process of mastication and
salivation and by digestion kinetics. It has been well studied that dietry supplemenation of live
YC has positive effect on the fibre digestion by stimulated cellulolytic bacteria and increased
protozoal count (Dawson et al., 1990; Martin and Nisbet, 1992). Probiotic yeasts have
established their effectiveness to influence growth and activities of rumen fibrolytic microor-
ganisms (Chaucheyras-Durand and Durand, 2010). YC can improve fungal colonisation of plant
cell wall material (Chaucheyras et al., 1995). On the other hand, thiamin (a vitamin help in the
process of zoosporogenesis) has been seen when S.cerevisiae is added in diet (Chaucheyras-
Durand and Fonty, 2001). Growth of Fibrobacter succinogenes has been stimulated and lags
time for growth of Ruminococcus albus, Ruminococcus flavefaciens and Butyrivibriofibri
55
solvenshas been reduced by addition of yeast culture (Girard and Dawson, 1995). Some studies
noted that the same yeast culture could enhanced the degradation rate of cellulose filter paper by
F. succinogenes and R. flavefaciens (Callaway and Martin, 1997). Using genotoxenic lambs
harbouring only F. succinogenes, R. albus, R. flavefaciens as cellulolytic organisms, it has been
observed that fiber degrading bacteria came earlier in the lambs fed on the active dry yeast
(Chaucheyras-Durand and Fonty, 2001).
Yeast culture also enhanced the polysaccharidase and glycosidehydrolase activities. Better
cellulose degrading activities of the solid- associated bacterial fraction have been seen in sheep
fed a diet supplemented with YC (Michalet-Doreau and Morand, 1997; Jouany, 2006). The
proportions of 16S rRNA of the F. succinogenes, R. albus, R. flavefaciens has been improved
due to yeast culture addition in sheep (Chaucheyras et al., 1996). It should keep in mind that all
such positive effects of yeast could observed in some studies with experimental animals (Plata et
al., 1994; Chaucheyras-Durand and Fonty, 2001) but data on significant benefits of yeasts on
fiber digestion in producing animals are not available yet. The fermented YC provides soluble
growth factors (i.e., organic acids, B vitamins, and amino acids) that stimulate growth of ruminal
bacteria that utilize lactic acid and degrade fibre (Callaway and Martin, 1997). These growth
factors may stimulate synthesis and secretion of IGF I from liver on absorption from
gastrointestinal tract.
The increased digestibility of nutrient may be due to improvement of microbial activities and
increased ruminal anaerobes and cellulolytic bacteria (Jouany, 2001). It wasnoted that SC
improved NDF digestibility in goats fed on the diet containing hay (Fadel, 2007). Therefore, it is
suggested that YC increased the number and functions of total and cellulose degrading bacteria
and improves cellulose degradation in the rumen (Dawson et al., 1990; Newbold et al., 1996;
Miller-Webster et al., 2002). Lascano et al. (2009) demonstrated that SC significantly improved
NDF degradation by ruminal microbiota in the dairy heifers fed on the high energy diet. That
improvement might be due to digestion and utilization of starch and simple sugars and the
removal of fermentable substrates that enhanced the fibre digestion and they suggested that the
YC had a diet-dependent effect. Marden et al. (2008) reported significantly (P<0.05) higher NDF
(41.6 vs 29.6%) and ADF (32.3 vs 18.1 %) digestibility in the early lactating Holstein cows
supplemented with SC at the rate of 5 g/d. He suggested that live yeast prevented accumulation
56
of lactate and allowed better fiber digestion by inducing a lower ruminal Eh and rH (Clark's
Exponent).
In another report, Wiedmeier et al. (1987) noted that supplementation of YC significantly
improved the hemicellulose digestibility and highlighted that improvement might be due to the
increased cellulolytic bacterial population after YC supplementation. Similarly, Wohlt et al.
(1998) reported that dairy cattle fed a corn silage and hay supplemented with 10 g per day fungal
strains early lactating cattle. Yeast supplementation significantly improved digestibility of ADF.
On the other hand, YC supplementation has no effect on NDF (Wiedmeier et al., 1987; Wohlt et
al., 1991; Moallem et al., 2009) ADF (Arambel and Kent, 1990; Cooke et al., 2007; Lehloenya
et al., 2008; Moallem et al., 2009) and hemicellulose, cellulose (Wohlt et al., 1991; Wohlt et al.,
1998; Cooke et al., 2007) digestibility. It has been noted that nutrient digestibility was not
affected when YC in given in high energy and corn gelatinized (Arambel and Kent, 1990; El-
Ghani, 2004; Cooke et al., 2007).
2.5.10.8 Impact of YC on the milk production and composition
Milk is mixture of fat, protein, carbohydrates, water and a number of other constituents present
in very small quantities. All the constituents except fat are collectively named solids not fat
(SNF). Cattle milk contains high amounts of total solids (Table-2.2).
Table 2.2: Milk composition of cow
Species
Fat (%) Protein (%) Lactose (%) Total solids (%)
European cow (Bos Taurus) 3.90 3.47 4.75 12.82
Zebu cow (Bos indicus ) 4.97 3.18 4.59 13.4
After: Bhatt (1999)
2.5.10.8.1 Milk yield
Lactation performance of the dairy animals was improved by probiotic yeast supplementation. It
is found that the increased milk yield might be due to the stimulatory effect of probiotic yeast on
the rumen microbiota, which in turn increase the cellulose digestion and that leads to emptying
rate of the rumen and therefore increase DMI (Wallace, 1994; El-Ghani, 2004). It is well studied
57
that, milk production responses tend to follow dry matter intake and a possible interaction
between the DMI potential and the milk production responses exists. The increased DMI due to
yeast culture supplementation leads to increase production performance of the animals by
providing more nutrients. Move ever, probiotics yeast enhance the absorption of nutrient intake
of vitamin B1 (thiamin), which promotes the colonization of fibre by the rumen, and improve the
diet digestibility (Erasmus et al., 1992; Newbold et al., 1998; Beauchemin et al., 2003). In
addition the improved rumen microbiota could leads to improve the microbial protein (MP) flow
from rumen to the small intestine (Erasmus et al., 1992). Microbial protein has been digested
inside small intestine and there are some indications that yeast supplementation may change the
amino acid proportion entering the small intestine (Erasmus et al., 1992; Newbold et al., 1995;
Beauchemin et al., 2003). Therefore, there is a possibility that increased amino acid supply might
be responsible for the positive impact of YC on the production performance of the ruminant’s
animals. There has been much work on the effect of yeast culture on the milk production in dairy
animals. (Moallem et al., 2009) studied production performance of the dairy cattle fed on the diet
supplemented with 1 g YC (S. cerevisiae) per 4 kg of dry matter intake (DMI). It was reported
that the DMI was 2.5% greater in the yeast supplemented animals compared with the control
animals (24.7 vs 24.1 kg). This increased DMI lead to1.5 kg (4.1%) more milk production for the
yeast supplemented cattle.
Recently, (Salvati et al., 2015) conducted an experiment on the Holstein cows received a diet
(corn silage (37.7%), tifton silage (7.1%), raw soybeans (4.1%), soybean meal (16.5%), finely
ground corn (20.7%), and citrus pulp (11.9%) supplemented with 25 × 1010 CFU of live cells and
5 × 1010 cfu of dead cells. It was noted that SC increased (26.7 vs. 25.4 kg/d) milk production in
dairy cattle. It was concluded that improved production efficiency might be due to the regulation
of body homeothermia in the dairy cattle. In the same manner, Ayad et al. (2013) reported that
supplementation of SC (20 g/day) along with concentrate and forage diet had statistically
significant effect on milk yield (32.7 vs 30.7 kg/d) in the dairy cattle. A meta-analysis of yeast
culture effects reported that DMI increased by 0.44g/kg body weight and milk yield increased by
1.2 g/kg of body weight (Desnoyers et al., 2009). Increasing dose of the yeast has been linearly
related to increasing DMI and milk yield. Concentration levels, NDF, ADF and CP contents of
the feed also related to the increased milk yield. In accordance with this, Chaucheyras-Durand
58
and Fonty (2002) and Stella et al. (2007) reported that yeast supplementation put a positive effect
on the rumen pH which stimulated the cellulolytic bacterial population. These cellulolytic
bacteria degrade the cellulose material inside rumen and enhance the DMI and milk production.
Diet has a crucial role in getting positive effects of the yeast culture. Many studied reported
higher milk production resulted from supplementation of the yeast culture in a diet had 30:70
(Shaver and Garrett, 1997); 50:50 (Piva et al., 1993) and 60:40 (Williams et al., 1991)
concentrated to forage ratio. In the same manners, Shaver and Garrett (1997) and Longuski et al.
(2009) noted increased milk yield with YC supplementation in fermentative carbohydrate diet.
The finding of these experiments shows that the increased milk yield could be due to the
digestive kinetics in the rumen. In another report, it was noted that significantly (p<0.05) more
milk was produce in the heat stress cattle fed on YC.(Bruno et al., 2009). In a yeast culture
review of 22 trials on dairy animals showed that average increase of 7.3% (range 2-30%) in milk
yield and noted that improve milk could be due to the positive effect of yeast on the nutrient
digestibility and DMI (Dawson et al., 1990). Similarly, Yalcın et al. (2011) reported that cattle
fed SC supplementation diet produces significantly (p<0.05) more (24.97 vs. 23.49 kg/d) milk
than in non-supplemented cattle. It was concluded that yeast culture provides soluble growth
factors that stimulate growth of cellulolytic bacteria and cellulose digestion (Callaway and
Martin, 1997). However, some researchers (Soder and Holden, 1999; Schingoethe et al., 2004;
Bagheri et al., 2009) reported no beneficial effects in milk production from feeding yeast to
lactating animals.
2.5.10.8.2 Milk Fat
Fat is the most very important component of the milk. Fat percentage was significantly increased
in animals fed on diet supplemented with yeast. Meller et al. (2014) conducted an experiment to
study the effect of YC on the milk composition of Jersey cows. Cows received 50 g (1.94 × 1010
CFU) and 100 g (4.35 × 1010 Cfu) of SC per animal per day and noted that yeast supplemented
cows consuming (P=0.01) more (0.7 kg/d) DMI, which increased (P<0.05) milk fat by 0.067
kg/d than non-supplemented. In the same manner, Yalcın et al. (2011) noted that dietary
supplementation of YC improves the average fat percentage (31.41 vs 29.63 g/kg) than control
animals. That improve milk fat had also been seen in other studies (Piva et al., 1993; Putnam et
al., 1997; Moallem et al., 2009). All agreed that that improves milk fat might be due to the
59
increased milk yield and increased fibre fermentation in the yeast supplemented animals.
Longuski et al. (2009) reported that milk fat significantly (P<0.05) increased from 1.3 to 1.47 kg
per day the dairy animal fed on high moisture corn grain diet supplemented with YC. He
concluded that milk fat might be improved due to the high fermentative starch diet can be
lessened with yeast culture. Milk fat was significantly lower in yeast supplemented lactating
animals in heat stressed condition (Shaver and Garrett, 1997; Bruno et al., 2009) and in dairy
goats (El-Ghani, 2004; Stella et al., 2007).
That lower milk fat was due to higher milk yield responses obtained for yeast supplementation
which caused a dilation type effect as milk fat yield was not different among the treatments. El-
Din (2015) reported that YC supplementation has no difference in the milk fat parentage possibly
due to forage NDF in the diet which enhance the fermentation process inside rumen and
increased milk fat synthesis. On the other hand, (Bayat et al., 2015) reported that YC had no
effect the fat concentration in the lactating cows fed grass silage diets. A lack of effect of YC
supplementation has been seen for milk fat % (Erasmus et al., 1992; Robinson and Garrett, 1999;
Erasmus et al., 2005; Moallem et al., 2009)and for fat yield (Putnam et al., 1997; Cooke et al.,
2007; Bruno et al., 2009). That non-significant response could be due to the sufficient level NDF
in the diet (Erasmus et al., 2005).
2.5.10.8.3 Milk Protein
Milk protein has been significantly improve in the YC supplemented animals in many studies
(Nocek et al., 2003; White et al., 2008; Bruno et al., 2009; Kalmus et al., 2009). In a study,
Shaver and Garrett (1997) noted that YC significantly (P<0.05) increased (1.17 vs 1.14 kg/day)
milk protein yield in dairy animal fed on basal diet. That increased milk protein in the yeast fed
groups might be the positive impact of YC on the nutrient digestibility and rumen fermentation.
The increased fermentation and digestion rate is due to the increased bacterial population inside
the rumen. Proteins in the feed are quickly breakdown into peptides, amino acids and NH3 by
different protozoa and fungi (Wallace et al., 1997).
Some NH3 is converted into microbial protein (MP), and some ammonia is used by the animal in
the form of urea. The higher MP metabolized in the duodenum can be contributed to higher
protein output from the udder. One of the possible improvement of the milk protein as a result of
YC supplementation lowers the blood urea nitrogen (Bruno et al., 2009). On the other hand, In
vitro findings tell that probiotic yeast could alter the growth and activities of protein degrading
60
bacterial species, by limiting their attack on protein and peptides. YC has positive effect on
microbial growth and negative effect on nitrogen loss (Beev et al., 2007). That process enhances
the ammonia uptake and microbial protein production has been improved and that untimely
increased the milk protein. Meller et al. (2014) found 0.037 kg/d more milk protein in lactating
cattle fed on a high starch diet supplemented with probiotic yeast and noted that increased milk
protein might be due to increased (0.7 kg/d) DMI in yeast fed group. In agreement with this
some researcher (Nocek et al., 2003; Nocek and Kautz, 2006) found that yeast addition has a
positive effect on the milk protein. Some studies showed that yeast culture lower the milk protein
yield (Cooke et al., 2007; Stella et al., 2007; White et al., 2008) and milk protein percentage
(Nocek et al., 2003; Erasmus et al., 2005; Stella et al., 2007; Moallem et al., 2009; Desnoyers et
al., 2009). That negative effect of yeast might be due to the dilution factor of higher milk yield
(Shaver and Garrett, 1997; El-Ghani, 2004).
2.5.10.8.4 Milk Lactose
Moallem et al. (2009) and Bruno et al. (2009) noted that YC addition has a significantly
(P<0.05) effect on the milk lactose percentage and yield respectively in dairy cattle during hot
seasons. They concluded that high milk yield leads to the high milk lactose. On the other hand,
Stella et al. (2007); Bruno et al. (2009) and El-Din (2015) reported that YC supplementation has
no difference in the milk lactose percentage in dairy animals.
2.5.10.8.5 Milk Solid Not Fat (SNF)
Yeast supplementation had a significantly effect on the SNF. Hossain et al. (2014) reported a
significantly (P<0.05) improvement (8.57 vs 8.28 %) in the milk SNF in cross breed cattle fed on
the diet supplemented with 15 g YC. He concluded that improvement can be due to higher milk
yield in the yeast supplemented group than non-supplemented. Similar results were reported by
Bruno et al. (2009) and Vibhute et al. (2011) found that feeding Saccharomyces cerevisiae have
a significant effect on milk SNF.
2.5.10.9 Effect of yeast culture on the blood chemistry
Blood metabolite and minerals levels can be alter by nutritional changes which are directly or
indirectly corrected to regulation of nutrients digestion and subsequently growth and production
61
of the ruminants. Blood plasma metabolites are frequently used to monitor the metabolic health
status of dairy herds (Ametaj, 2009).
2.5.10.9.1 Cholesterol
Probiotic yeast brings changes in the concentration of rumen short chain fatty acids (particularly
propionate, butyrate and valerate) in animals. The increase in these acids is capable of reducing
the synthesis of triglyceride and cholesterol in the liver cells and might be change the lipid
profile in blood (Miller-Webster et al., 2002; Marden et al., 2008).According to Nicolosi et al.
(1999), these polysaccharides reduce the total cholesterol of serum. Fayed (2005) and Kowalik et
al. (2013) reported that YC significantly decreased the cholesterol level in their experiment.
Several other authors found no influence of live YC on triglyceride and total cholesterol
concentration of blood (Galıp, 2006; Masek et al., 2008; Campanile et al., 2008). The increased
triacylglycerol and total cholesterol in cows fed metabolites of YC may explain enhanced
activity of lipolytic enzymes and improved utilization of dietary lipid.
2.5.10.9.2 Glucose
In ruminants, follicles and oocyte maturation have been dependent on the glucose. The glucose
level indicates the physiological condition of animals (Nandi et al., 2008; Hossain et al., 2012).
It is observed that, 40-60 mg/100ml glucose required to maintaining the physiological process of
body. Probiotic yeast has a significant effect on the glucose concentration of dairy animals. In an
study, Hossain et al. (2012) found that, serum glucose was statistically (P<0.05) higher in yeast
supplemented claves as compared to non-supplemented claves. In contracts, Bagheri et al.
(2009), reported that the levels of glucose were not affected by probiotic yeast supplementation
in dairy cow. Similarly, Piva et al. (1993) and Putnam et al. (1997) reported that glucose was
not influenced by YC supplementation. The increased level of glucose is likely due to the
increased nutrient utilization that resulted in an increased DM and OM digestibility (Lascano et
al., 2012). The increased concentration of plasma glucose level could elevate the progesterone
production directly by increasing the LH production. Glucose represents the synthesis of
carbohydrates and is in the form in which carbohydrate is supplied to cell from body fluids. The
age of the animals has exhibited highly significant variation in serum glucose level in the cattle
heifers.
2.5.10.9.3 Blood Urea Nitrogen
62
Yeast culture supplementation has a significant effect on serum urea concentration in dairy
animals. Lower urea level in the blood serum of animal fed on diet supplemented with YC as an
indicator of nitrogen metabolism compared to the animals fed on diet without YC supplemented
suggests a better utilization of protein. Lower blood urea level is often diagnosed in dairy
animals in connection with a higher content of bypass protein in a diet or with a lower value of
diet RDP in the rumen. In a study, Dolezal et al. (2011) reported that probiotic yeast has a
significant effect on urea concentration in dairy animals. Some researchers (Putnam et al., 1997;
Bagheri et al., 2009; Nikkhah et al., 2004) reported that serum urea concentration was not
significantly affected by probiotic yeast.
2.5.10.10 Effect of yeast culture on the serum macro-minerals
Minerals play an important role in health, growth, production (meat and milk) and reproduction
of dairy animals, therefore balance mineral nutrition is crucial to maintain animal health and
productivity. About 17 minerals are identified as essential for dairy animals for maintenance
requirements (include the endogenous fecal losses and insensible urinary losses), growth
(amount of mineral retained /kg body weight gained), pregnancy (amount of mineral retained
within the reproductive tract at each day of gestation) and lactation (the concentration of the
mineral in milk multiplied by the 4 % fat corrected milk yield) requirements. The sum of the
maintenance, growth, pregnancy and lactation requirements is the true requirements of the
tissues for the mineral, and is referred to as the requirement for absorbed mineral. The diet must
supply this amount to the tissues (NRC, 2001). In dairy animals, Ca and P are essentially
important macro nutrients. They are required in larger amounts than other minerals. Over 70
percent of the total minerals in the body are calcium and phosphorus. About 99 percent of the
calcium of the body is present in skeleton where calcium along with phosphate anion, serves to
provide structural strength and support to bone. The probiotic yeast has many positive effects in
the absorption of some minerals and improves the metabolic heath of animals (Cole et al., 1992;
Dolezal et al., 2011).
2.5.10.10.1 Calcium
In adult cattle the normal range of Ca is 9.00 to 10.00 mg/dl (NRC, 2001). Bansal (1978)
suggested that Ca concentration is directly or indirectly related to reproductive performance of
the dairy animals. Ca is also involved in the steroid biosynthesis in ovaries (Shemesh et al.,
1984). Dolezal et al. (2011) reported that calcium levels was significantly (P<0.05) increased by
63
probiotic feed. On the other hand, (Piva et al., 1993), found no significance difference in the Ca
concentration between animals fed on control and probiotic diet.
2.5.10.10.2 Phosphorus
In growing cattle the normal range of P is 6.00 to 8.00 mg/dl and in adult cattle is 4.00 to 6.00
mg/dl (NRC, 2001). Literature suggested that probiotic yeast supplementation lower (1.67 vs
1.74 mmol/L) the P levels in dairy animals (Piva et al., 1993). In the same manner, Dolezal et al.
(2011) suggested that blood P concentration was changed (P<0.05) by addition of probiotic yeast
in Holstein dairy cows.
2.5.10.10.3 Sodium and Potassium
Literature suggested that Na and K were influenced by probiotic yeast supplementation in
animals. In a study, Milewski and Sobiech (2009) found that probiotic yeast supplementation
significantly (P≤0.05) higher the concentrations of Na+ ions in ewes compared with non-
supplemented ewes. On the other hand, Piva et al. (1993) reported that Na and K were
unaffected by probiotic yeast supplementation in dairy cows.
2.5.10.11 Haematological Parameters
Hematological studies present an effective method in monitoring the health and nutritional status
of animals. Study of different hematological constituents of blood is of great importance during
disease conditions, stress, immunity etc. They also have direct clinical application for diagnostic
purposes. These parameters may have direct effect on the reproductive performance of growing
animals. Knowledge on hematological study in growing buffalo heifers is lacking (Jabbar, 2004).
Changes in the hematological profile occur following exposure to stressors in mammals.
2.5.10.11.1 Hemoglobin
Hemoglobin (Hb) is the major substance in red blood cells. It carries oxygen and gives the red
colour to blood cells. The hemoglobin test measures the amount of Hb in blood and is a good
indication of the blood's ability to carry oxygen throughout the body. Some studies reported that
YC has a significant effect on Hb. Milewski and Sobiech (2009) found that ewes fed on the diet
supplemented with yeast had significantly (P≤0.01) higher (101.70 vs 114.00 g/L) Hb
concentration as compared ewes fed on control diet. In the same manner, Dobicki et al. (2005)
reported improve Hb in claves fed on diet supplemented with probiotic yeast (Saccharomyces
cerevisiae).
2.5.10.11.2 Erythrocytic Count
64
Milewski and Sobiech (2009) reported that yeast supplementation significantly (P≤0.01)
increases the RBC count as compared to non-supplemented ewes.
2.5.10.11.3 Leukocytic Count
It was found that ewes when fed a diet supplemented with YC have associated with significantly
(P ≤ 0.05) increased erythrocytes counts as compared to non-supplemented ewes (Milewski and
Sobiech, 2009)
2.5.10.11.4 Haematocrit level
Haematocrit level (also called packed cell volume), measures the amount of space (volume) red
blood cells (RBC) occupy in the blood. The value is given as a percentage (%, vol/vol) of RBC
in a volume of blood. For example, a hematocrit of 38 means that 38 percent of the blood's
volume is composed of red cells. It is the quickest and most accurate measure of the red cell
component of blood. Milewski and Sobiech (2009) reported that yeast supplementation had
associated with significantly (P ≤ 0.05) increased erythrocytes counts as compared to non-
supplemented ewes.
2.5.10.11.5 Lymphocytes
Blood lymphocyte number variation normally indicates the alteration in division rather than
alteration in production (Borghese, 2005). Lymphocytes number also influenced with
environmental atmosphere. (Fagiolo, 2004) observed decreased lymphocytes number during
summer (41%) than winter (77%) in dairy animals. Ciaramella et al. (2005) found significantly
reduced lymphocytes number in buffaloes that are above eight years of age. Khaliq and Rahman
(2010) reported mean lymphocytes 58.23% in lactating Nili-Ravi buffaloes of 7-10 years old fed
mixed ration (sugarcane, berseem fodder and maize oil cake). There was increasing pattern in
lymphocytes number in dairy heifers but were within physiological limit (The Merck Veterinary
Manual).
2.5.10.11.6 Eosinophils
Eosinophils are one of the immune systems components responsible for fighting parasitic
infections in vertebrates. In case of hypersensitivity reactions number of circulating eosinophils
increased. (Fagiolo, 2004) observed 1.64-0.16% eosinophils in early lactating buffaloes in
different seasons. Ciaramella et al. (2005) reported that, buffaloes over ten years of age showed
higher eosinophils levels compared to those in immature females (Canfield, 1984).
65
2.5.10.11.7 Monocytes
Monocytes are important component of immune system. These are produced in the marrow,
circulate briefly in the blood, and migrate into the tissues where they differentiate further to
become macrophages. Monocytes number in the marrow at a given time is very small.
Monocytes in blood are distributed between a marginated and circulating pool. Literature on
monocyte function in dairy animals is scare. Changes in the blood hematological indices suggest
an improvement in body condition and indicative of blood-supply improvement and immunity
enhancement in ruminants. Changes in biochemical indices suggested that the YC had a
stimulating impact on energy metabolism and a protective effect on renal function, and that it
contributed to preventing metabolic acidosis.
2.5.10.12 Effect of yeast on the ruminal gut microbial flora
The gut microflora is known to have a crucial role in shaping key aspects of dairy animal’s life,
such as development of the immune system and influencing the host’s physiology. Different
types of beneficial and harmful microorganisms are present in GIT of dairy animals. Health of
animal may be compromised due to the constant drive for high productive performance, where
eventfully a physiological limit or threshold is reached. Healthy animals have a balanced GIT
microbiota that allows them to performed normal function during their life. The microbial
balance of young animals is different from adult animal. The intestinal micro-biota of young
animals lacks the stability when they confronted the traumatic conditions of severe rearing
system. In that case, there arises the possibility of decreasing population of beneficial bacterial
species (Lactobacilli and Bifidobacteria) followed by increasing number of pathogens (E.coli,
Enterobacter) or other flora. That imbalanced GIT microbiota may leads to poor growth
performance and health status in young animals.
As we know that, DMI of ruminants is the main nutrient source of GIT microbiota; diet plays a
crucial role on their ecosystem and with that on the health of GIT the animals. Increased ruminal
gut fecal Lactobacilli by the supplementation of probiotics have been reported by many
researchers (Ellinger et al., 1980). Coliform includes the gerna Escherichia, Enterobacter and
Citrobacter etc. which are opportunistic pathogens associated with diarrhea. On the other hand
Lactobacillus species have been found in many types of animals, according to literature the
Lactobacillus are predominant in digestive tract and feces of young animals. It adapts and
66
develops beneficial symbiosis with the host claves. (Vlkova et al., 2006). In young ruminants the
rumen (part of GIT) is not yet developed, at that time, probiotics target the GIT, and they
represent an interesting tool to stabilize the small intestinal microbiota and reduced the risk of
pathogens. Literature showed that, when live yeast used to dairy heifers at the beginning life, a
favour microbial colonisation and the set-up of fermentative capacities in the rumen have been
seen (Chaucheyras-Durand and Fonty, 2002).
Yeast supplementation may enhance the health and immune function of animals. The
gastrointestinal tract has acquired a flushing effect, in which any harmful subtracts (toxins and
pathogens) are bound and absorbed to the yeast cell wall fractions in the gut which protect
animals from potential harm (Stone, 1998). According to the findings of numerous authors
(Collins and Gibson, 1999; Heinrich et al., 2003; Li et al., 2005), the immune-stimulating effect
of Saccharomyces cerevisiae can be ascribed to the activity of β-1, 3/1, 6-D-glucan and mannan-
oligosaccharides (MOS) present in yeast cell walls. (Li et al., 2005; Xiao et al., 2004). MOS has
also play an important role in binding of selected pathogenic microbes due to blocking microbial
lectins and preventing pathogens from colonizing in the gut of the host, thus helping in
destruction of bound pathogens by specialized immune cells (Collins and Gibson, 1999; Spring
et al., 2000; Heinrich et al., 2003).
Fecal E.coli was reduced and increased Lactobacillus was seen in the goat fed on YC which
leads to a stable GIT microbial flora. The probiotic effect is contributed by the mannans which
are a chain of mannose sugars consumed by the beneficial bacteria in the gut thereafter
promoting growth of beneficial bacteria which naturally suppresses and inhibits the growth of
the harmful bacteria inside gut, yet as observed in claves receiving CNCM 1-1077
supplementation, the occurrence of diarrhea and pneumonia was narrowed (Pinos-Rodríguez et
al., 2008). Cole et al. (1992) measured no significant effect on the claves performance and
health, through morbid claves required reduced days of antibiotics therapy, and claves
compromised with diseases had maintained higher DMI and body weight. Magalhaes et al.
(2008) demonstrated lower mortality rates, which might have due to improved N, Zn and Fe
metabolism. This is echoed in study by Piva et al. (1993) who had measured improved blood
plasma Zn levels (p=0.14) suggested that yeast may supply the Zn that plays a role in
reproductive performance. Young animals are subjected to a multiple stresses (transport,
nutrition and temperate changes, de-horning), such stressors have been shown to induced
67
imbalance GIT microbiota (Tannock and Savage, 1974). These imbalanced microbiota leads to
increased disease susceptibility in dairy animals (Bayatkouhsar et al., 2013). The use of probiotic
in farm animals restore of beneficially change the microbial flora in young, stressed animal, so
that they can better resist to the infectious diseases (Malago et al., 2014). It is well studied that
supplementation of probiotic as a tool to maintain the microbial balance of intestine, prevents
diarrhea, and improved fecal bacteria flora of ruminants (Abu-Tarboush et al., 1996; Galvao et
al., 2005; Timmerman et al., 2005; Kawakami et al., 2010). It is also effective in improving
resistance to colonization with pathogen and thus it results to improve health of animals
(Jatkauskas and Vrotniakiene, 2010). Since it is difficult to obtain intestinal samples for
microbial analyses, enumeration of fecal microbial flora has been used as an indirect method of
determining bacteria inhabiting in the intestinal tract (Schwab et al., 1980). The fecal flora is
assumed to represent only the luminal flora and not that associated with mucosal epithelial
surfaces and is assumed to vary with different types of diets (Ellinger et al., 1980). Few research
reports are available regarding microbial characterization, diversity and other prospective
applications of cattle fecal material (Yokoyama et al., 2007). The increased growth was higher in
supplemented group than control group suggested that the yeast supplementation has a capability
to improve gut microbial flora and reduce the diarrhea (Kawakami et al., 2010).
Improved growth performance and rumen development in young claves have also been noted by
many scientists (Abu-Tarboush et al., 1996; Galvao et al., 2005; Adams et al., 2008). The GIT
homeostasis is heavily depends on the balance between nutrients and ions absorption and
secretion and the capability of the GIT epithelium to control pathogens and macromolecules. The
interaction between endocrine, neurocrine, stromal and immune cells or the natural intestinal
microbiota controls the epithelial functions (Heyman and Menard, 2002). The biological activity
of probiotic has a direct impact on the metabolic processes, GIT microbiota function and host
resistance (Novik et al., 2006). Probiotics in the intestinal tract prevent colonization of pathogens
and thus lessen down the chances of diarrheal occurrences particularly in young animals (Abe et
al., 1995). Because of the accumulation of pathogenic microorganism in the intestinal tract the
development of young calves is strongly influenced by reduced nutrient assimilation and low
digestion rate. In these scenarios, probiotics act as beneficial source to control diarrhea (Jonsson
and Olsson, 1985). The efficiency of probiotics deviates from one animal to another and of the
same species. That is the reason various authors (Gardiner et al., 2004; Timmerman et al., 2004)
68
have suggested the direction of probiotics (as inoculums) by amalgamation of combining
different strains. The intestinal homeostasis keeps the absorption and secretion stability of
nutrients and ions. The epithelium of intestinal tract also provides resistance against
macromolecules and pathogenic flora (Heyman and Menard, 2002).
2.5.10.13 Effect of probiotic yeast on economic analysis
Improve production efficiency leads to improve profit for dairy farmers; moreover costs
associated with diseases treatment can decrease the profit (Kossaibati and Esslemont, 1997).
Probiotics added to the feed of ruminants to enhanced productive performance, may be cost
effective and safe methods to improve feed utilization in dairy animal. The economic advantage
of microbial feed additives depends on the price of yeast culture, yeast strain, dose, the
lactation stage, age, diet, breed and geographical location of the animal (Yalcın et al., 2011;
Vibhute et al., 2011). S. cerevisiae is cheap probiotic (0.05-0.07 dollar per cow and d) that can
benefit to health and production performance in dairy animal (Eastridge, 2006). Good health of
dairy animal gives a lot of profit to the farmers. Magalhaes et al. (2008) reported that probiotic
yeast improved profit in dairy claves by 48 dollar per calf by decreasing morbidity and mortality
rates. In the same manners, Shaver and Garrett (1997) studied the cost analysis of the
probiotic yeast in dairy animal and observed that YC supplementation has improved milk
yield as 0.23 kg per cow. It is well studied that diseases lower profit of dairy farmers (Kelton
et al., 1998). Clinical mastitis can decrease profit by 735 dollar per lactating cattle (Hultgren
and Svensson, 2009).
Chapter-3
MATERIAL AND METHODS
The present study has been divided into three phases, consisting of different experiments to see
the impact of dietary supplementation of probiotic yeast on the performance of dairy cattle and
69
heifers. All research work was carried out at the National Agricultural Research Centre (NARC),
Islamabad, Pakistan (Lat. 33.7˚N; Long. 73.1˚E; Alt. 508 m) (Figures 3.1, 3.2).
3.1 Phase 1: Determine the impact of Saccharomyces cerevisiae (Yea-Sac1026) on growth
performance and wellbeing of dairy heifers
3.1.1 Probiotic yeast strain:
A commercially available probiotic yeast strain (Yea-Sac1026) (Alltech Inc., Nicholasville, KY)
was used in this phase (Figure 3.3).
3.1.2 Control and probiotic feed for dairy heifers
Control feed was prepared at National Agricultural Research Centre Islamabad, Pakistan to meet
the small dairy-breed heifer’s nutrient requirements (NRC, 2001). For the preparation of
probiotic feed, the control feed was supplemented with commercially available yeast (Yac-
Sac1026, 5g/d/animal; corresponding to 2.5 × 1007 cfu/g).
3.1.3 Animals, treatments and experimental layout
Eight dairy heifers (n=8; average body weight of 87±5 kg) were used in this experiment.
Animals were randomly divided into two equal groups as follow: non-supplemented group
(n=4); which fed on control feed (without any probiotic supplementation) and supplemented
group (n=4); which fed probiotic feed (control feed with yeast supplementation). Feed intake was
recorded on daily basis by measuring the amount of refusal before the morning feeding. Heifers
were allowed access to an exercise lot for 3 hours in the evening time throughout the
experimental
period except
during
digestibility
trial (Figure
3.4). The
study lasted
for four
months.
70
Figure 3.1: Livestock Research Station, NARC, Islamabad.
Figure 3.2: Animal shed at Livestock Research Station, NARC, Islamabad.
71
Figure 3.3: Commercially available yeast (Yac-Sac1026)
Figure 3.4: Dairy heifers in open paddock at NARC, Islamabad
3.1.4 Quantities analysis of performance parameters of dairy heifers
72
The impact of probiotic yeast on dairy heifers was monitored by analysis of following
parameters;
3.1.4.1 Growth performance of dairy heifers
Feed intake was noted daily by subtracting the amount of feed offered from the amount of feed
refusal before the morning feeding. Heifers were weighed at starting and then fortnightly to
calculate the growth performance. Feed efficiency was calculated as feed intake (kg)/live weight
gain (kg).
3.1.4.2 Digestive performance of dairy heifers
During last week of the experiment, a total tract digestibility trial was carried out. Four animals
of almost similar weight from each group were placed in separate digestibility shad (Figure 3.5).
The total collection of feces was collected (5 days of total collection). Feces were weighed mixed
daily, and a random sample (2%) was taken for future analysis. Feed samples were also collected
during the digestibility period. Feed and fecal samples were dried and analyze for proximate
composition (AOAC, 1990), neutral detergent fiber and acid detergent fiber determination (Van
Soest, 1991).
Figure 3.5: Digestibility shed at NARC, Islamabad
3.1.4.3 Microbiological analysis of ruminal-gut microbial flora of dairy heifers
3.1.4.3.1 Sample description and collection
73
Fecal sampling was performed from dairy heifers for ruminal-gut microbial flora study. A total
of 40 fecal samples were collected from dairy heifers at 0, 30, 60, 90 and 120 days of the
experiment directly from rectum in sterile plastics bags. Samples were labeled with respect to
their particular origin and transferred to the laboratory for analysis.
3.1.4.3.2 Sample preparation
One gram of fecal material was mixed in trypticase salt solution (TSS) and vortex for 15-20
minutes and then aseptically shifted in reagent bottle.
3.1.4.3.3 Sample processing
The collected samples were further processed and examined on different types of media such as,
trypticase soy agar (TSA), deMan, Rogosa and Sharpe agar (MRS), M-17 and macconkey. Each
sample was diluted in TSS and 100 μl of the sample was spread on surface of prepared media
plates using spread plate technique. All plates were incubated at 37˚C for 48 hours in the
incubator.
3.1.4.3.4 Microbiological analysis
Different sorts of medias were used for determination of different bacterial count. In this study,
the samples were analysed in the following media:
3.1.4.3.4.1 Trypticase soy agar (TSA)
Total bacterial count (TBC) was performed on TSA medium by using spread plate technique. A
sample was serially diluted (ten folds) up-to specific dilutions and each dilution (100μl) was
spread on TSA medium. This was set to incubate aerobically at 37˚C and 48 hours. After
incubation, the number of colonies was counted down.
3.1.4.3.4.2 Man, Rogosa and Sharpe agar (MRS)
MRS (Oxoid, Basingstoke, UK) media was used for growth of Lactobacillus species. A 100μl of
diluted sample (ten-fold dilutions in normal saline) was spread out in aseptically prepared MRS
agar plates and then placed in incubator aerobically at 37˚C. Results were observed after 48
hours by colony forming unit (CFU) analysis. Colony counts were done manually with numbers
over 300 designated as too numerous to count (TNTC). Lactobacillus screening on MRS is
further confirmed by biochemical tests.
3.1.4.3.4.3 M-17 agar
M-17 growth medium (Oxoid, Basingstoke, UK) was used specifically for Lactococcus and
Enterococcus species. A 100μl of diluted sample (ten-fold dilutions in normal saline) was spread
74
out in aseptically prepared M-17 agar plates and then placed in incubator aerobically at 37˚C for
48 hours. Results were observed by CFU analysis. Colony counts were done manually with
numbers over 300 designated as TNTC. Lactococcus and Enterococcus species screening on M-
17 was further confirmed by different biochemical tests.
3.1.4.3.4.4 Macconkey agar
This media was used for coliform isolation. A 100μl of diluted sample (ten-fold dilutions in
normal saline) was spread out in aseptically prepared macconkey agar plates and then placed in
incubator aerobically at 37˚C. Results were observed after 48 hours by CFU analysis. Colony
counts were done manually with numbers over 300 designated as to TNTC. Coliform species
screening on macconkey media is further confirmed by biochemical tests.
3.1.4.3.5 Purification of Isolates
After the incubation period, the growth appeared on the plates of TSA, MRS, M-17, and
macconkey agar were purified. Single colony from the isolates was streaked out on freshly
prepared plates of respective media with the help of platinum red hot inoculating loop. This step
was further repeated until the culture seemed strictly purified, which was further confirmed by
applying some tests.
3.1.4.3.6 Preservation of pure isolates
The pure isolates were preserved in slants and glycerol stock solution. In its glycerol
preservation, 700μl Luria broth (LB) was inoculated with pure isolates for 24hrs duration. It was
then transferred to 1.5ml eppendorf containing 300μl glycerol that was sterilized in hot oven at
180˚C for 1 hour. This suspension was placed in 4˚C refrigerator for 12 hours which was then
shifted to -20˚C freezer. In its slants preservation, slants of respective media (TSA, MRS, M-17
and macconkey) were prepared in which, after pouring the respective media in test tubes, tubes
were slightly tilted along one side such that there became a butt at the bottom. Pure isolates were
streaked out in those slants and then allowed to incubate at their desired incubation conditions.
After incubation period, these slants were moved in refrigerator (4˚C). These preservation
techniques provide long term storage in which glycerol preservation prevents freeze damaging
and ice-crystal formation and slants preservation provide low contact to air and moisture due to
its narrow size.
3.1.4.3.7 Identification of bacterial isolates
75
The colonies of selected microbes were counted and selected randomly for identification. The
bacterial isolates were identified morphologically and biochemically. The interpretation of
results was done according to “Bergey’s Manual of Determinative Bacteriology”, 8th edition.
3.1.4.3.8 Morphological characteristics:
Gram’s staining is employed for morphological characteristics of pure isolates. In Gram’s
staining procedure, following steps are performed respectively:
Smear fixation
Primary staining (stain with crystal violet)
Mordant fixation (Gram’s iodine)
De-colorization (95% alcohol)
Counter staining (safranin)
Prepared a thin smear by picking up loopfull of bacterial strains in a clean slide and gently mixed
it in a drop of normal saline. It is then air dried and heat fixed over the flame. Stained the smear
with crystal violet (CV) for 1 minute and then rinsed with distilled water. Then put 1 or 2 drops
of Gram’s iodine which act as a mordant for 1 minute. Rinse it too with distilled water properly.
After that, immediately de-colorize it with 95% alcohol. Finally stain it with safranin (counter
stain) for 1 minute. Again rinse with distilled water. Air dried the slide and observed under
microscope using oil-immersion at 100X. In this way, the colony morphology, cell morphology,
and the motility of bacterial isolates from fresh cultures were evaluated.
3.1.4.3.9 Biochemical characterization
A list of biochemical tests were performed for identification purposes. These have been listed
below.
3.1.4.3.9.1 Catalase test
Catalase test suggest, whether the isolates empower such enzyme ‘‘catalase’’ that shows the
capability of neutralizing toxic oxygen and degrading H2O2 into O2 and H2O. In this test, a
smear of 24 hours fresh growth isolates was prepared. Put 2-3 drops of H2O2. Bountiful bubble
formation counts for positive results and no bubble formation meant for negative results.
Bubbles: Catalase positive (+)
No bubbles: Catalase negative (-)
3.1.4.3.9.2 Oxidase test
76
The purpose behind catalase test is to indicate the presence of cytochrome oxidase enzyme in
selected strain of interests. Dimethyl-p-phenylenediamine di hydrochloride is used for this test.
This colourless reagent oxidised and turned into coloured product. In this test, sterilised filter
paper was soaked in oxidase reagent as mentioned as above. A single isolated colony was picked
with red hot sterile loop and rubbed against it. The change in colour indicate positive while no
change support negative results.
Colourless-Dark purple: Positive result
No colour change: Negative result
3.1.4.3.9.3 Citrate utilization test
This citrate utilization test helps to study either the isolated strains utilize sodium citrate as a sole
source of nitrogen (inorganic) and carbon (organic) source or not. To analyse this, loop full
culture of freshly prepared isolated strains were streaked out on Simon’s citrate agar slants.
These slants were then placed in incubator (37˚C±24 hours). If slant’s colour changes from green
to blue, it is an indication of positive result, otherwise it means negative result.
Colour green to blue: Positive result
No colour change: Negative result
3.1.4.3.9.4 Methyl Red (MR) test
This test determines the ability of mixed acid fermentation among isolated microbial strains. For
this test, methyl red voges-proskauer (MRVP) broth is used that contain phosphate buffer,
glucose and peptone. Those organisms that do mixed-acid type of fermentation release acid that
over-whelm the buffering capacity of both resulting in decrease in pH. In this test, autoclaved
MRVP broth was inoculated with freshly pure isolates and incubated at 37˚C for 24 hours. After
incubation, few drops of methyl red used as an indicator was added in the inoculated tubes and
results were examined
Pink – Red: Positive
Pale yellow (no change): Negative
3.1.4.3.9.5 Sulfide Indole Motility (SIM) test
SIM test is used to test motility of organisms, its indole production characteristic and H2S
production ability.SIM test configured three types of things i.e: motility, indole production and
H2S production. Basically, media used for this is semi-solid media. For motility purpose, point
inoculation of desired strains was performed. After 24 hour incubation, haziness pattern from the
77
stab line indicates positive result for motility. In case of indole test, a few drops of kovac’s
reagent were added, where, the appearance of cherry-red ring points out its positive result and no
colour shows negative result. Formation of black residues represents H2S production.
3.1.4.3.9.6 Triple Sugar Iron (TSI) test
This test determines the carbohydrates (sucrose, lactose, and glucose) fermentation ability of
microorganisms. It also facilitates the sulphur reduction (H2S production) phenomena. TSI agar
media was autoclaved and slants were prepared. Pure isolates were then streaked out on these
slants tubes and then allowed to incubate at 37˚C±24 hours. The fermenting conditions were
noted down as:
Slant red / Butt yellow: Glucose fermentation
Butt yellow / Slant red: Lactose and sucrose fermentation
Red only: No fermentation
Slant red / Butt yellow / Black ppt: Glucose fermentation + H2S production
Slant yellow Butt yellow / Black ppt: Sucrose and lactose fermentation + H2S production
3.1.4.3.10 Molecular characterization
Representative isolates were sequenced for 16S rRNA gene to confirm their identification.
Sequencing was done by using commercial service of Macrogen Inc. Korea
(www.dna.macrogen.com). The sequenced data was submitted to NCBI gene data base
(http://www.ncbi.nlm.nih.gov/) and accession numbers were obtained
3.1.4.3.11 Phylogenetic analysis of bacterial isolates
Bio-Edit software (Hall, 1999) was used to assemble the fragment sequences of 16S rRNA gene
sequencing. The gene sequences were submitted to DDBJ (www.ddbj.nig.ac.jp). Using 16S
rRNA gene sequences, the strains were identified by BLAST search on EZTaxon Server. The
sequences of closely related type strains were retrieved for constructing phylogenetic trees.
Phylogenetic and molecular evolutionary analyses were conducted using MEGA version 5
(Tamura et al., 2011). A phylogenetic tree was built from unambiguously aligned nucleotides
using the neighbor-joining algorithum (Saitou and Nei, 1987). The stability of the relationship
was assessed by boots trap analysis by performing 1000 resamplings for the tree topology of
neighbor-joining data
3.1.4.4 Blood study of dairy heifers
3.1.4.4.1 Hematological study
78
Blood was collected from the jugular vein of the heifers at 0 and 120 days of the experiment and
put into 5ml heparinised venoject EDTA (K3) tube for future analysis. Erytrocytic counts, total
leukocytic count, packed cell volume, haemoglobin, lymphocytes, monocytes and eosinophils
were determined (Benjamin, 1985) by using Beckman Coulter ®AcT Diff™Haematology
Analyzer.
3.1.4.4.2 Serum biochemical study
Blood was collected from the jugular vein of the heifers at 0 and 120 days of the experiment and
allow to centrifugation at 3000 rpm for 20 minutes. Serum was separated and stored at -20 oC for
future analysis. Serum was used for serum biochemical estimation with commercial kits (Kit
AMP Medizintechnik GmbH, Austria) by using spectrophotometer (UVD-2960, USA). Serum
glucose concentration was measured with kit (BD2901-E Kit AMP Medizintechnik GmbH
Austria). The reaction was employed and absorption was measured at 500 mm for cholesterol
500 mm on spectrophotometer (Barham, 1979). Serum cholesterol concentration was measured
with kit (BD2601-E Kit AMP Medizintechnik GmbH Austria). The reaction was employed and
absorption was measured at 500 mm on spectrophotometer (Roeschlau, 1974). Blood urea
nitrogen concentration was measured with kit (BD4002-E Kit AMP Medizintechnik GmbH
Austria). The reaction was employed and absorption was measured at 340 mm on
spectrophotometer (Berthelot, 1974).
3.1.4.4.3 Serum macro-minerals
Serum was used for calcium determination by using spectrophotometer (UVD-2960, USA) with
commercial kits (Kit AMP Medizintechnik GmbH, Austria, BD7202). The reaction was
employed and absorption was measured at 650 mm on spectrophotometer. Serum P was
estimated by spectrophotometer (UVD-2960, USA) with commercial kits (Kit AMP
Medizintechnik GmbH, Austria, BD3702). The absorbance was measured at a wavelength of 340
nm on spectrophotometer. Na and K concentration in the serum was estimated by using AFP100
Flame photometer (Biotech Engineering Managment Co. Ltd., UK).
3.2 Phase II: Isolation and characterization of locally isolated yeast as a probiotic for
dairy cattle
3.2.1 Isolation of the yeasts strains
79
Two fermented dough samples were collected from local market. These samples were labelled
with respect to their particular origin, transferred and processed in lab. 1gm of sample was mixed
in trypticase salt solution (TSS) and allowed to vortex for 15-20 minutes at 40Hz and then
shifted in reagent bottle in sterile conditions. The purpose of using TSS was to provide better
cellular osmotic and non lytic conditions. The collected samples were further processed and
examined on OGA media. Serial dilution method was applied in which each 1ml of sample was
serially diluted in 9 ml of sterilised normal saline. The first tube dilution was marked as 10-1and
serially diluted up to ten-fold (1/1000000). Thus as a whole 10-1-10-7 dilutions were prepared.
From 10-4, 10-5 and 10-6 dilutions, 0.1ml or 100μl sample was taken and spread on surface of
prepared media plates with the help of sterile glass spreader under proper sterile conditions.
These were then allowed to incubate at its appropriate conditions i.e. 37˚C for 24-28 hours in the
incubator. All the samples were treated with same methodology. Two strains were isolated,
which were selected for further studies.
3.2.2 Identification of yeast
The isolated yeast strains were identified on the basis of morphology, biochemical
characteristics.
3.2.2.1 Morphological identification
The identification of the yeast isolates was carried out according to conventional yeast
identification methods based on the morphological appearance (color, shape, elevation, margins
etc.) and microscopic examination of the colonies after staining them with simple stain
(methylene blue).
3.2.2.2 Biochemical characterization
A list of biochemical tests were performed for identification purposes (Lodder, 1974; Barnett,
1983; Barnett, 1990). These have been listed below.
3.2.2.2.1 Catalase test
Catalase test suggest whether the isolates empower such enzyme ‘‘catalase’’ that show the
capability of neutralizing toxic oxygen and degrading H2O2 into O2 and H2O. In this test, a smear
of 24 hour fresh growth isolates was prepared. After that 2-3 drops of H2O2 were added.
Bountiful bubble formation counts for positive results and no bubble formation meant for
negative results.
Bubbles: Catalase positive (+)
80
No bubbles: Catalase negative (-)
3.2.2.2.2 Urease teat
Urease test involves the streak the surface of a urea agar slant with a portion of well isolated
colony. Alternatively, slant can be incubated with 1-2 drops of overnight brain-heart infusion
broth. Leave the cap on loosely and incubate the test tube at 35oC in ambient air for 48 hours to
75 days. If organism produces urease enzyme, the color of the slant changes from light orange to
magenta. If organism does not produce urease the agar slant and butt remain light orange (No
color change).
Orange to magenta colour: Urease (+)
No bubbles: Urease (-)
3.2.2.2.3 Glucose and sucrose test
The ability of strains to utilize glucose and sucrose as carbon sources was determined in Durham
tubes on YP medium containing the respective sugar plus the pH indicator.
3.2.3 Probiotic characterization of the isolated yeast strains
3.2.3.1 Determination of enzymatic potential
The isolates screened out from fermented food sample on OGA agar were qualitatively analysed
on account of their ability to produce extracellular enzyme. This qualitative assay includes
cellulase, protease, and amylase activity that influence the behavior of organism when performed
qualitatively on its specific media. This assay procedure is described below.
3.2.3.1.1 Detection of amylolytic activity
In order to determine the amylolytic activity of isolates, different ingredients were added to
prepare the media. 1 g nutrient broth, 2 g agar and 1 g starch were dissolved in distilled water
and set on autoclave. Amylase media plates were prepared. These plates were inoculated by
these isolates by means of point inoculation and then allowed to incubate for 48 hours. After
incubation period, iodine crystals were sprinkled over the amylase plates and then let them for
few minutes. Formation of luminous zones around the inoculation point indicates positive result
and no zone is indication for negative result.
81
3.2.3.1.2 Detection of cellulolytic activity
The media prepared for cellulolytic activity by dissolving 0.9 gram nutrient broth, 2 gram agar, 1
gram CMC in 100ml distilled water. The plates were treated same by means of point inoculation.
After incubation period, plates were stained firstly with congo red dye for about 15 minutes and
then stained with NaCl for 15 minutes. The presence of clear zone around the inoculated colony
is indication of positive result and absence of this shows negativity effect.
3.2.3.1.3 Detection of proteolytic activity
1% casein agar media is used for proteolytic activity. Point inoculation was performed on these
plates and set on incubation for 48 hours. After incubation, the plates were immersed in 1%
glacial acetic acid. Bright zone formation brings out positive result and no zone for negative
result.
3.2.3.2 Determination of bile tolerance
Bile tolerance activity was performed among isolates screened out from OGA agar. In this assay,
these 2 selected strains were inoculated in sterilized. Tryptic Soy Broth (TSB) in erlenmeyer
flasks and then kept in shaker incubator at 37˚C, 150 rpm for 24±48 hours. Stock solutions of
bile salts (1.5g/l) and lysozyme (100μg/ml) were prepared. After the incubation period, 750μl
from the stock solution of bile salt and 500μl from the stock solution of lysozyme were added in
the 50ml cultured TSB flask. The pH of the solution was adjusted at 3. TSB media without the
addition of bile salt and lysozyme was set out as a control media. After 30 minute, 60 minute and
90 minute interval, samples were successively taken out and spread out on Tryptic Soy Agar
(TSA) plates via serial dilution method. These plates were incubated at 37˚C for 24-48 hours.
CFU analysis was performed and its CFU was calculated by the formula given below:
CFU/ml = Number of colonies x dilution factor
Tolerance rate = CFU/ml of bile media / CFU/ml of control media
3.2.3.3 Determination of cholesterol lowering effect
Yeast strains were selected and performed for cholesterol assimilation. These selected strains
were inoculated in TSB in Erlenmeyer flasks and set on incubation at their appropriate
conditions. After their incubation period, about 0.1ml of each sample was taken from flasks,
transferred in 10ml FeCl3-acetic acid in the falcon tubes, and then allowed to vortex for 5-10
minutes. Samples were then left for about 15 minute until its complete protein precipitation. For
its comparison, standard was prepared by appending physiological saline (0.1ml) and cholesterol
82
standard solution (10ml). 5ml of FeCl3-acetic acid was taken as a blank and then 3ml of H2SO4
was added in these and mixed well. These were then left for 30 minutes and OD was taken at 560
nm. Percentage of cholesterol assimilation assay was estimated with the help of following
formula (according to Bergey’s Manual of Determinative Bacteriology)
Cholesterol (mg/100ml) = OD of unknown x 100 x 0.2 / OD of known x 0.05
3.2.3.4 Determination of anti-microbial activity
The indicator strains Listeria monocytogenes (ATCC13932), E.coli (ATCC8739),
Staphylococcus aureus (ATCC6538) and Pseudomonas aeruginosa (ATCC9027) (against testing
strains were revived, and 100μl of each indicator strain was suspended in 2.5ml of (0.75% TSA)
soft agar. In order to prepare lawn of indicator strains, soft agar suspension was poured into
freshly prepared TSA plates and allowed it for solidification. Plates were then placed in
incubator at 37°C for about 2-3 hours. Sterile disks were set on the lawn of indicator strains
carefully. After that, 10μl of cell or supernatant was taken from overnight culture of testing
strains and carefully poured on filter paper disks. Then placed were placed in incubator at 37°C
for 24-48 hours. Yeast strains were treated likely, irrespective of its variation in incubation
conditions i.e. 30°C for 48 hours. Results of antimicrobial activity were observed in terms of its
zone diameter (nm). A clear zone formation around the disks, determine the antimicrobial
behavior.
3.2.3.5 Selection and propagation of best performing probiotic strain
After all these tests, we selected the best yeast strain for future study. A stock culture of yeast
stain was inoculated into 5 ml TSA broth and incubated at and aerobically incubated at 37oC for
24 hrs. Samples were taken for viable cell count and analysis of each strain. Pour plate counts in
TSA agar were used to numeration of each culture. 1ml of cultures were transferred into 100 ml
skim milk and allowed to grow for 48 hrs. Every 12 hrs, fresh skim milk was injected into bottles
to assure good growth. The culture was moved into a freezed dried for 72 hrs. The producer of
freeze dried cultures were mixed and added to whey as a carrier. Samples were taken to
determine the total viable count of the finished product. The stability of the product was
determined by the counting of viable and total cell counts. Surviving yeast was numerated by
pour plate counts in TSA agar after incubation at 37oC and counts were expressed as mean log
CFU/g. The product was prepared every 3 weeks and was kept at 4oC.
83
3.3 Phase III: To study the comparative impact of Saccharomyces cerevisiae (Yea-
Sac1026) and locally isolated yeast on productive performance and health status in lactating
dairy cattle
3.3.1 Probiotic yeast strains:
A commercially produced yeast (CPY) (Yea-Sac1026) (Alltech Inc., Nicholasville, KY) and
laboratory produced yeast (LPY) (QAUSC03) were produced in laboratory condition, were used
in this phase (Figure 3.6).
3.3.2 Control and probiotic feed for dairy cattle
The control feed (CON) was consists of 3 kg concentrate feed, 8 kg maize silage and 20 kg oat
fodder without probiotic yeast addition. The concentrate feed was prepared at NARC by using
following formula; 18 % maize grain, 12 % rape seed cake, 18 % rice police, 24 % what bran, 10
% maize gluten 30%, 10 % sugar cane molasses, 5 % sun flower meal, 1.5 % di-calcium
phosphate and 0.5 % each; sodium chloride, mineral premix and limestone power. Concentrate
feed composition was 15% crude protein, 0.88% calcium, 0.81% phosphorus, 22% nutrient
detergent fibre and 14 % acid detergent fibre. For preparation of commercial probiotic feed
(COM-P), the control feed was supplemented with commercially available yeast (Yac-Sac1026;
10g/d/animal; corresponding to 2.5 × 1007 CFU/g) and for preparation of laboratory probiotic
feed (LAB-P) control feed was supplemented with laboratory (LAB) produced yeast
(8g/day/animal, corresponding to 3.13×1007 CFU/g S. cerevisiae).
3.3.3 Animals, treatments and experimental layout
The study was carried out at National Agricultural Research Centre, Islamabad, Pakistan. Nine
lactating dairy cattle (n=9) at first and second lactation and producing 4-5 liters/day were used in
this phase (Figure 3.7). Animals were randomly divided into three equal groups as follow:
control group (CON) (n=3); which fed on control feed; commercially probiotic group (COM-P)
(n=3); which fed commercial probiotic feed and laboratory probiotic group (LAB-P) (n=3);
which fed laboratory probiotic feed. Feed intake was recorded on daily basis by measuring the
amount of refusal before the morning feeding. Animals were allowed access to an exercise lot for
2 hours in the evening time throughout the experimental period except during digestibility trial.
The experiment lasted for 75 days including 15 days adaption period.
3.3.4 Quantities analysis of performance parameters of dairy cattle
84
The impact of probiotic yeast on the dairy cattle was monitored by analysis of following
parameters.
3.3.4.1 Production performance of lactating dairy cattle
Cattles were milked twice a day at 12.00 am and 12.00 pm and milk production was recorded
daily. Milk samples (200 ml) were collected at 0, 15, 30, 45 and 60 days of the experiment.
Samples were analyzed for dry matter and total ash (AOAC, 1990). The milk fat, protein and
lactose were determined by milk analyzer. Solids not fat (SNF) was calculated as total solids
minus fat and lactose was calculated by following equations
% Lactose =100- (% moisture + % fat + % crude protein + % ash)
3.3.4.2 Digestive performance of dairy cattle
Digestive performance was done according to methodology mentioned in section 3.1.4.2 of
methodology of phase I
3.3.4.3 Blood study of dairy cattle
Blood study was done according to methodology mentioned in section 3.1.4.4 of methodology of
phase I
3.3.4.4 Ruminal gut microbial flora study of dairy cattle
Fecal flora study was done according to methodology mentioned in section 3.1.4.3 of
methodology of phase I
85
Figure 3.6: Laboratory produced yeast, S. cerevisiae (QAU03)
Figure 3.7: Lactating dairy cattle in animal shed at NARC, Islamabad
3.3.5 Economic analysis
Economic analysis of data was done according to (Perrin 1979). Data related to feed intake
during whole trial was used to calculate the feed cost of dairy cattle and heifers fed on probiotic
supplemented feed over dairy cattle and heifers fed on control feed.
3.3.6 Statistical analysis:
During phase I, the growth performance and health related collected data were analyzed with a
linear model using student t-test (Steel et al., 1997). Data are given as means plus minus standard
error of the means. During phase III, production and health performance related data collected on
different parameters was subjected to statistical analysis by using Analysis Of Variance
Technique (ANOVA) under completed randomized design (CRD). Means of different
parameters were tested by using least significant difference (Steel, 1984).
86
Chapter 4
RESULTS
4.1 Phase 1: Determine the effect of Saccharomyces cerevisiae (Yea-Sac1026) on growth
performance and wellbeing of dairy heifers
4.1.1 Impact of probiotics on growth performance of dairy heifers
Dietary ingredient and nutritional composition of the control feed is presented in Table 4.1.
Average dry matter intake (DMI) was almost similar (3.72±0.03 vs 3.81±0.06 kg/day) in both
groups (probiotic feed and control feed respectively). During the trail the dairy heifers fed on
probiotic feed gained significantly higher (P=0.037) average daily weights (ADG) (0.60±0.04 vs
0.72±0.02 kg/day) than the dairy heifers fed on control feed. Feed Conversion Ratio (FCR)
reflects the amount of feed (kg) required to gain one kg of body weight. Our results showed that
FCR was improved (P=0.056) in dairy heifers fed on probiotic feed and was reflected in the
increased ADG in this group (Table 4.2). The changes in daily DMI and ADG for dairy heifers
fed on control versus probiotic feed over the entire experimental period are presented in Figures
4.1 and 4.2.
In the present experiment, probiotic feed did not affect skeletal measurements of the dairy
heifers. We noted that the initial body height was almost same (41.84±1.28 vs 42.27 ±1.12 cm)
in both groups. But the final body height was higher (84.13±1.60 vs 78.34±1.14 cm) in dairy
87
heifers fed on the control feed as compared to the dairy heifers fed on probiotic feed. Same is the
case with body length, where the initial body length was similar (39.42±0.92 vs 40.22±1.20 cm)
in both groups, but the final body length was higher (79.36±1.83 vs 78.53±2.12 cm) in the
control diet fed heifers. When we calculated the heart girth of the dairy heifers, we noted that
initial (41.53±1.29 vs 46.23±1.59 cm) and final (86.38±1.56 vs 89.13±0.62 cm) heart girth was
higher in dairy heifers fed on probiotic feed as compared to the dairy heifers fed on control feed.
On the other hand, when we calculated the top line of the dairy heifers, we noted that initial
(54.51±1.31 vs 51.98±0.50 cm) and final (90.56±0.30 vs 89.12±3.50 cm) top line was higher in
dairy heifers fed on control feed as compared to the dairy heifers fed on probiotic feed. All these
differences in the structural measurements of the dairy heifers fed on control and probiotic feed
were non-significant (P>0.05) in our study (Table 4.2).
Table 4.1: Ingredient and chemical composition of the control and probiotic feed fed to
dairy heifers
Items Feeding Scheme
Control1 COM-Probiotic2
Chemical composition (% Dry matter)
Crude protein 15.23 15.23
Neutral detergent fibre 27.88 27.88
Acid detergent fibre 18.04 18.04
Calcium 0.69 0.69
Total phosphorous 0.57 0.57
ME (Mcal/kg)3 2.45 2.45
Feed ingredients (%)
Maize oil cake 17.00 17.00
Cottonseed meal 13.00 13.00
Sunflower meal 1.00 1.00
Canola meal 6.00 6.00
Rice polish 6.00 6.00
Wheat bran 7.00 7.00
Corn gluten feed 4.00 4.00
Corn grains 11.00 11.00
Vegetable oil 2.00 2.00
Wheat straw 24.00 24.00
Cane molasses 6.00 6.00
Urea 0.50 0.50
88
Di-calcium phosphate 1.00 1.00
Limestone power 0.50 0.50
Sodium chloride 0.50 0.50
Minerals premix 0.50 0.50 1Control feed without yeast; 2COM-Probiotic feed compose of control feed supplemented with 2.5×1007 cfu/g
commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per animal/day;3 Metabolizable energy
calculated values.
Table 4.2: Growth characteristics (Means ± SEM) in dairy heifers fed on control and
probiotic feed
Items Feeding scheme
p-value Control2 COM-Probiotic3
Average initial body weight (kg)1 88.53±*5.22 87.56±5.52 0.421
Average final body weight (kg) 160.84±2.10 172.38±3.39 0.072
Average daily body weight gain (kg) 0.60±0.04 0.72±0.02 0.037
Average daily DM intake (kg) 3.72±0.03 3.81±0.06 0.416
Feed conversion ratio (kg feed/kg gain) 6.19±0.49 5.41±0.52 0.056
Structural measurements4 (cm)
Body height
Initial 41.84±1.28 42.27±1.12 0.700
Final 84.13±1.60 78.34±1.14 0.107
Body length
Initial 39.42±0.92 40.22±1.20 0.500
Final 79.36±1.83 78.53±2.12 0.750
Heart girth
Initial 41.53±1.29 46.23±1.59 0.106
Final 86.38 ±1.56 89.13±.0.62 0.259
Top line
Initial 54.51±1.31 51.98±0.50 0.345
Final 90.56±0.304 89.12±3.50 0.299
1n=4 per treatment; 2Control feed without yeast; 3COM-Probiotic feed compose of control feed supplemented with
2.5×1007cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 5g /day/animal; 4Changes in structural
measurements during the 120 day growth trial; * standard error of the mean
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4.1.2 Role of probiotics in nutrients digestibility in dairy heifers
Nutrient digestibility of dairy heifers fed on control and probiotic feed is presented in Table 4.3.
The results reveal that probiotic feed significantly (p<0.05) affect DM, OM, CF, CP, NDF and
ADF digestibility in dairy heifers. Apparent DM digestibility of dairy
Fig 4.1: Average monthly dry matter intake pattern (kg) of dairy heifers fed on control feed
(control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed plus
commercial yeast)
2.8
3
3.2
3.4
3.6
3.8
4
7 8 9 10
Dry
Mat
ter
Inta
ke (
kg/a
nim
al)
Age of dairy heifers ( 7-10 months)
Control
COM-P
60
80
100
120
140
160
180
7 8 9 10
Bo
dy
We
igh
ts (
kg/a
nim
al)
Age of dairy heifers (7-10 months)
Control
COM-P
90
Fig 4.2: Average monthly growth pattern (Kg) of dairy heifers fed on control feed (control,
♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed plus commercial yeast)
heifers was higher (60.25 vs 55.52%) in dairy heifers fed probiotic feed than dairy heifers fed
only control feed. This increased DM digestibility was statistically significant (P=0.041) among
the treatments. Same, with the case of OM digestibility, which was also significantly (P=0.047)
higher (64.48 vs 60.31%) in the dairy heifers fed on probiotic feed as compared to dairy heifer
fed on control feed. After analyzing the results of CPD, we noted that, CP digestibility was
significantly (P=0.049) improved (61.02 vs 57.87%) in dairy heifers fed probiotic feed than
control feed. Similarly, apparent total tract digestion of CF was significantly (P=0.043) higher
(57.51 vs 54.28%) in probiotic feed fed group as compared to control feed fed group.
Digestibility coefficient of NDF and ADF were significantly (P<0.05) higher (61.79 vs 58.63%)
and (55.45 vs 53.08%) respectively in dairy heifers fed on probiotic feed than fed on control
feed.
Table 4.3: Nutrient digestibility (Means ± SEM) of dairy heifers fed on control and
probiotic feed
Items Feeding scheme
p-value Control2 COM-Probiotic3
Dry matter (%)1 55.52±*1.10 60.25±0.82 0.041
Organic matter (%) 60.31±1.22 64.48±.36 0.047
Crude protein (%) 57.87±0.71 61.02±0.65 0.049
Crude fibre (%) 54.28±1.40 57.51±1.08 0.043
Neutral detergent fibre (%) 58.63±0.46 61.79±0.59 0.036
Acid detergent fibre (%) 53.08±0.43 55.45±0.48 0.017
1n=4 per treatment; 2Control feed without probiotic yeast; 3COM-Probiotic feed compose of control feed
supplemented with 2.5×1007 cfu/g, commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per
animal/day; * Standard error of the mean.
4.1.3 Influence of probiotic on hematological and biochemical parameters in dairy
heifers
4.1.3.1 Hematological parameters
All dairy cattle heifers have shown healthier hematological values in our present study. Before
the treatment (day 0), we observed that RBC counts were non-significantly (P=0.056) higher
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(10.23±0.90 vs 7.65±0.98x106/µl) in dairy heifers fed on probiotic feed than fed on control fed.
But after the treatment (day 120) we noted significantly (P=0.043) increased (11.54±1.33 vs
8.35±0.67x106/µl mg/dl) RBC in dairy heifers fed on probiotic feed than fed on control fed.
Similarly, when we analysed the results of WBC, we noted that before the treatment (day 0), we
noted that WBC counts were non-significantly (P=0.090) higher (9.99±1.24 vs 8.15±0.43
x103/ml) in dairy heifers fed on probiotic feed than fed on control fed. But at the end of the
treatment (day 120), WBC counts were significantly (P=0.048) increased (10.37±0.85 vs
8.45±0.54x103/ml) in dairy heifers fed on probiotic feed than fed on control feed (Table 4.4). It
was observed that PCV counts were higher at day 0 (26.45±2.43 vs 22.13±2.12%) and at day 120
(30.84±2.55 vs 28.99±1.53%) in dairy heifers fed on probiotic feed than dairy heifers fed on
control fed.
But these difference were non-significantly (P>0.05) among the treatments before (day 0) and
after (day 120) the treatment. Before the treatment (day 0), Hb level was non-significantly
(p=0.076) higher (10.12±0.76 vs 8.45±0.90%) while at the end of treatment (day 120),
significantly (P=0.045) higher (13.26±1.20 vs 9.76±0.55%) in dairy heifers fed on probiotic feed
than dairy heifers fed on control feed. Lymphocytes counts were non-significantly (P>0.05)
higher before treatment (59.71±2.12vs 55.34±1.00 %) and after the treatment (52.81±2.98 vs
49.70±2.09 %) in dairy heifers fed on probiotic feed than fed on control feed. The results of the
monocytes counts showed that a non-significantly (P>0.05) increased monocytes counts were
noted at day 0 (7.34±1.20 vs 6.23±1.30%) and at day 120 (4.70±2.21 vs 4.37 ±0.30%) in dairy
heifers fed on probiotic feed than fed on control feed. Before the treatment (day 0), the
eosinophils levels was non-significant (P=0.796) increased (6.35±1.23 vs 5.34±0.87%) in dairy
heifers fed on probiotic feed than fed on control feed. While after the treatment, significantly
(P=0.017) increased (6.94±0.75vs 4.85±0.46%) eosinophils levels were observed in dairy heifers
fed on probiotic feed than fed on control feed.
4.1.3.2 Blood serum metabolites
The results of some selected serum metabolites like cholesterol, glucose and urea nitrogen in
dairy heifers fed on control and probiotic feed before and at the end of treatment are shown in
92
Table 4.5. All values are in the normal range for dairy cattle, which is a sign of good health. The
40-60 mg/100ml blood glucose level is required to maintain the physiological process of body.
When we analysis the serum glucose concentration in the blood of dairy heifers, we noted that
the serum glucose levels were within the normal range in our study. At start of experiment (day
0), serum glucose level was almost same (60.86±2.80 vs 62.77±4.04 mg/dl) for both groups
(probiotic feed and control feed respectively).But after the treatment (day 120) we noted a
significantly (P=0.034) increased (65.31±2.84 vs 63.31±2.60 mg/dl) in dairy heifers fed on
probiotic feed than dairy heifers fed on control feed.
In our study the serum cholesterol concentration before started of the treatment (day 0) was non-
significantly higher (98.13±1.87 vs 96.50±2.58 mg/dl) in dairy heifers fed on probiotic feed than
dairy heifers fed on control fed. On the other hand after treatment the average cholesterol
concentration was significantly (P=0.012) lower (101.56±1.46 vs 106.45±0.34mg/dl) in dairy
heifers fed on probiotic feed than dairy heifers fed on control feed. Similarly, in our study the
serum urea concentration was non-significantly lower (30.10±0.711 vs 31.14±0.974 mg/dl) in
the dairy heifers fed on control feed as compared to dairy heifers fed probiotic feed at start of the
experiment (day 0). But after the treatment, we noted that the urea concentration was
significantly (P=0.010) lower (29.23±0.494 vs 33.34±0.432 mg/dl) in dairy heifers fed on
probiotic feed than dairy heifers fed on control feed.
Overall results showed that the yeast supplementation significantly (P<0.05) affected the serum
glucose, cholesterol and urea levels in dairy heifers.
Table 4.4: Haematological values (Means ± SEM) in dairy heifers fed on control and
probiotic feed
Items Feeding scheme
p-value Control1 COM-Probiotic2
Erytrocytic count (x10 6/µl) 1
Before treatment4 7.65±*0.98 10.23±0.90 0.056
93
After treatment5 8.35±0.67 11.54±1.33 0.043
Total leukocytic count (x103/ml)
Before treatment 8.15±0.43 9.99±1.24 0.090
After treatment 8.45±0.54 10.37±0.85 0.048
Packed cell volume (%)
Before treatment 22.13±2.12 26.45±2.43 0.980
After treatment 28.99±1.53 30.84±2.55 0.517
Hemoglobin (g/dl )
Before treatment 8.45±0.90 10.12±0.76 0.076
After treatment 9.76±0.55 13.26±1.20 0.045
Lymphocytes (%)
Before treatment 55.34±1.00 59.71±2.12 0.560
After treatment 49.70±2.09 52.81±2.98 0.397
Monocytes (%)
Before treatment 6.23±1.30 7.34±1.20 0.487
After treatment 4.37±0.30 4.70±2.21 0.396
Eosinophils (%)
Before treatment 5.34±0.87 6.35±1.23 0.796
After treatment 4.85±0.46 6.94±0.75 0.017
1n=4 per treatment; 2Control feed without yeast; 3COM-Probiotic feed compose of control feed supplemented with
2.5×10 07 cfu/g commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per animal/day; 4before
treatment (day 0);5after treatment (day 120); *standard error of the means.
Table 4.5: Blood serum metabolites (Means ± SEM) in dairy heifers fed on control and
probiotic feed
Items Feeding scheme
p-Value Control2 COM-Probiotic3
Glucose (mg/100ml)1
Before treatment4 *62.67± 4.04 60.86 ± 2.80 0.605
After treatment5 63.31± 2.60 65.47 ± 2.84 0.034
Cholesterol (mg/100ml)
94
Before treatment 96.50 ± 2.58 98.13 ± 1.87 0.587
After treatment 106.45 ± 0.34 101.56± 1.46 0.012
Urea (mg/100ml)
Before treatment 30.10±*0.711 31.14±0.974 0.012
After treatment 33.34±0.432 29.23±0.494 0.01
1n=4 per treatment; 2Control feed without yeast; 3COM-Probiotic feed compose of control feed supplemented with
2.5×10 07 cfu/g commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per animal/day; * ± Standard
error of the mean; 4Before treatment (day 0);5after treatment (day 120).
4.1.3.3 Blood serum macro-minerals
The results of the calcium (Ca), phosphorus (P), sodium (Na) and potassium (K) concentration in
blood serum of dairy heifers fed control and probiotic feed before and after the treatment are
given in Table 4.6. We noted that, serum Ca concentration was slightly lower (8.72 ±0.30 vs
8.64±0.18 mg/dl) in dairy heifers fed on the probiotic feed as compared to control feed at the
start of the treatment (day 0). At the end of the treatment (day 120), Ca concentration was again
non-significantly (P=0.286) higher (8.60±0.31 vs 8.36±0.24 mg/dl) in dairy heifers fed on the
probiotic feed as compared to control feed. On the other hand, Phosphorus (P) concentration in
blood serum was non-significantly (P=0.619) higher before the treatment (6.43±0.19 vs
6.33±0.33 mg/dl) in dairy heifers fed on the control feed as compared to dairy heifers fed on
probiotic feed. After the end of the treatment P concentration was again non-significantly
(P=0.869) higher (6.61±0.16 vs 6.57±0.11 mg/dl) in dairy heifers fed on the control feed as
compared to dairy heifers fed on probiotic feed. When we determine the serum K concentration
in blood samples of dairy heifers, we noted slightly higher (P=0.527) K levels at the start of the
experiment (5.43±0.12 vs 5.36±0.11 meq/l) in dairy heifers fed on the control feed as compared
to dairy heifers fed on probiotic feed. But at the end of the experiment the K concentration was
non-significantly (P=0.868) higher (5.49 ±0.13 vs 5.44±0.16 meq/l) in dairy heifers fed on the
control feed as compared to dairy heifers fed on probiotic feed.
Table 4.6: Serum macro-minerals (Means ± SEM) in dairy heifers fed on control and
probiotic feed
Items Feeding regime p-Value
95
Control2 COM-Probiotic3
Calcium (mg/dl)1
Before treatment4 8.64 ±* 0.184 8.72± 0.303 0.866
After treatment5 8.36 ± 0.248 8.60 ± 0.318 0.286
Phosphorus (mg/dl)
Before treatment 6.33 ± 0.33 6.43 ± 0.19 0.619
After treatment 6.61± 0.16 6.57 ± 0.11 0.869
Potassium (meq/l)
Before treatment 5.36±0.11 5.43±0.12 0.527
After treatment 5.49± 0.13 5.44 ± 0.16 0.868
Sodium (meq/l)
Before treatment 119.93 ± 1.04 120.92 ± 0.38 0.387
After treatment 127.67 ± 3.56 129.12 ± 3.54 0.774
1n=4 per treatment; 2Control feed without yeast; 3COM-Probiotic feed compose of control feed supplemented with
2.5×1007 cfu/g commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per animal/day; 4before
treatment (day 0);5after treatment (day 120); *±SEM = standard error of the mean
The difference in K concentration values among both groups was found to be statistically non-
significant (P>0.05) in our study. In the same manner, concentration of Nain blood serum of
dairy heifers was non-significantly (P=0.387) lower (119.93±1.04 vs 120.92±0.38 meq/l) before
the treatment in dairy heifers fed on the control feed as compared to dairy heifers fed on
probiotic feed. On the other hand, after the treatment, Na concentration was again non-
significantly (P=0.774) lower (127.67±3.56 vs 129.12±3.54meq/l) in dairy heifers fed on the
control feed as compared to dairy heifers fed on probiotic feed. Overall the results showed that
the P, K and Na concentration were unaffected (P>0.05) by yeast supplementation in the blood
of dairy heifers before and after the end of experiment.
4.1.1 Microbial growth trends in ruminal gut samples of dairy heifers fed on control and
probiotic feed
The average fecal total aerobic bacterial count, Lactobacillus, Enterococcus, Lactococcus and
Coliform species in ruminal gut of dairy heifers fed on control and probiotic feed as determined
at 0, 30, 60, 90 and 120 days of the experiment are given in Table 4.7. The isolated bacteria were
96
identified using morphological and biochemical process and some selected isolated were
identifies using sequencing methods (Tables 4.7; 4.8). When we analyzed that fecal samples at
day 0 of the experiment, we noted that total aerobic bacterial counts were almost similar
(6.16±0.32 vs 6.25±0.17 CFU/g) in both groups (probiotics and control groups respectively).
But, on the other hand, at day 30, the aerobic bacterial population was non-significantly
(P=0.898) higher (6.45±0.57 vs 5.27±0.55 CFU/g) in control group than probiotic group. At day
60, again we noted that the number of total aerobic bacterial count was significantly (P=0.017)
higher (6.81±0.35 vs 6.66±0.19 cfu/g) in dairy heifers fed on the control feed than heifers fed on
probiotic feed. We noted that the total aerobic bacterial counts at day 90, was non-significant
(P=0.131) higher (7.59±0.12 vs 6.76±0.29 CFU/g) counts in the heifers fed on probiotic than
control feed. At day 120, we observed significant (P=0.032) higher (7.97±0.40 vs 6.45±0.32
CFU/g) total aerobic bacterial counts in the heifers fed on probiotic yeast supplemented feed as
compared to control feed with no yeast supplementation. Overall results of the aerobic bacterial
counts showed that, there was no significant (P>0.05) difference was at 0, 30 and 90 days on the
other hand a significantly (P<0.05) difference was seen at 60 and 120 days. The changes in the
number of total aerobic counts as affected by the probiotic yeast are depicted in Figure. 4.3. At
day 0, total Lactobacillus species count was slightly higher (4.61±0.86 vs 4.22±0.94 CFU/g) in
heifers fed on probiotic feed than fed on control feed. At day 30, the numbers of the
Lactobacillus species was non-significantly (P=0.178) highly increased (5.44±0.13 vs
4.63.22±0.38 CFU/g) in heifers fed on the probiotic feed than heifers fed on control feed. On the
other hand, at day 60, Lactobacillus species counts was significant (P=0.039) higher (6.31±0.14
vs 4.86±0.43 CFU/g) in the heifers fed on feed supplemented with probiotic yeast than heifers
fed on feed without probiotic yeast supplementation. Similarly, at day 90, the numbers of the
Lactobacillus species was significantly (P=0.03) higher (6.47±0.10 vs 5.28±0.30 CFU/g) in the
heifers fed on feed supplemented with probiotic yeast than heifers fed on feed without probiotic
yeast supplementation. At day 120, the numbers of the Lactobacillus species was also
significantly (P=0.042) higher (6.98±0.28 vs 5.53±0.49 CFU/g) in the group fed on probiotic
feed as compared to group fed on control feed. The numbers of Lactobacillus were about 6.10 %
higher in probiotic yeast supplemented group as compared to non-supplemented group at the end
of the experiment. The changes in the number of Lactobacillus, species affected by the probiotic
yeast are depicted in Figure. 4.4.
97
After analyzing the results of Coliform species, we noted that at the beginning of experiment
(day 0), the Coliform population almost was similar (3.06±0.32 vs. 3.03±0.27 CFU/g) in both
groups; but after 30 days of experimentation, that number was significantly (P=0.001) higher
(4.11±0.27 vs. 3.17±0.25 CFU/g) in control group than probiotic group and maintained this level
at day 60, where we noted that the number of Coliform species was higher (3.81±0.25 vs
3.14±0.19) in dairy heifers fed on the control feed than heifers fed on probiotic feed. But the
difference was non-significant (P=0.215) between two groups at day 60. We noted that the
coliform species counts at day 90 was almost similar (2.59±0.32 vs 2.56±0.19 CFU/g) between
the heifers fed on probiotic and control feed. At the end of experiment (day 120) we observed
slightly higher (2.79±0.30 vs 3.05±0.52 CFU/g) coliform counts in the heifers fed on probiotic
feed as compared to control feed. Overall results of the coliform counts showed that during 0, 60,
90 and 120 days of the experiment the effect of the YC was statistically non-significant (p>0.05).
Expect at day 30, where we noted a significantly (P=0.001) difference between in control and
probiotic group. The changes in the number of coliform species affected by the probiotic yeast
are depicted in Figure. 4.5. At day 0, total Lactococcus species count was non-significantly
(P=0.789) higher (5.64 ±0.45 vs 5.43±0.85 CFU/g) in heifers fed on probiotic feed than fed on
control feed. At day 30, the numbers of the Lactococcus species were non-significantly
(P=0.231) increased (5.89±0.67 vs 5.66±0.90 CFU/g) in heifers fed on the probiotic feed than
heifers fed on control feed. But, at day 60, Lactococcus species counts was significant (P=0.023)
higher (6.23±0.32 vs 5.90±0.93 CFU/g) in the heifers fed on probiotic feed as compared to
control feed and maintained this level at day 90 and 120. We noted significantly (P=0.039)
higher (6.56±0.70 vs 5.99±0.96 cfu/g) Lactococcus species in the heifers fed on probiotic feed as
compared to control feed at day 90. The numbers of the Lactococcus species was again
significantly (P=0.042) higher (6.54±0.28 vs 6.12±0.49 CFU/g) in the group fed on probiotic
feed as compared to group fed on control feed. The changes in the number of Lactococcus
species, as affected by the probiotic yeast are depicted in Figure. 4.6.
On the other hand, at day 0 we noted that the numbers of Enterococcus species was almost
similar (4.13±0.34 vs. 4.05±0.65 CFU/g) in both groups. At day 30, that number was non-
significantly (P=0.231) lower (4.12±0.29 vs. 4.64±0.44 CFU/g) in probiotic group than control
group. At day 60, again we noted that the number of Enterococcus species was non-significantly
98
(P=0.123) lower (3.01±0.78 vs 4.34±0.44 CFU/g) in probiotic supplemented group than control
group. At day 90, we noted that the Enterococcus species was slightly lower (2.90±0.12 vs
3.12±0.34 CFU/g) in probiotic supplemented group than control group. At the end of experiment
(day 120) we observed significantly (P=0.023) lower (2.79±0.30 vs 4.05±0.52 CFU/g).
Enterococcus species in the heifers fed on probiotic yeast supplemented feed as compared to
control feed with no yeast supplementation. Overall the results of the Enterococcus species
counts showed that at 0, 30, 60 and 90 days of the experiment the effect of YC was non-
significant (P>0.05) expect at day 120 days where we noted a significantly (P˂0.05) difference
between in control and probiotic group. The changes in the number of Enterococcus species, as
affected by the probiotic yeast are depicted in
4.1.2 Isolation, identification and characterization of Lactobacillus, Lactococcus,
Enterococcus and Coliform species from ruminal gut of dairy heifers
MRA agar supported as a specific media for growth of lactic acid bacteria (LAB) and
macconkey agar for growth of Coliform species (Figure 4.8). Their further properties were
examined on the basis of morphology and selective biochemical tests (Table 4.8; Figure 4.9).
4.1.2.1 Colony and cell morphology:
Results of gram stating showed that all isolated strains on MRS were either gram positive rod or
gram positive cocci. This means they exhibited the property of rod and cocci shape and retain its
purple colour (crystal violet) stain, which full fill one of the property of LAB as shown in figure
(Figures 4.10 and 4.11). They appeared as short chains, single rod, cocci and in the form of rod
clusters under microscopy on MRS media. The forms of the colonies of gram positive rod
isolates were mostly round and irregular with smooth, shiny surface. Most of the colonies were
creamish and creamish white colors with entire and convex margin. The results of elevation
characteristics of gram positive rod isolated colonies showed that mostly these are raised and
most of the colonies had opaque in its opacity characteristics point of view.
On the other hand the forms of the colonies of gram positive cocci isolates were mostly circular.
The surface characteristics of the gram positive cocci were mostly found to be smooth, shiny
with creamish white colors with entire margin. The results of elevation characteristics of gram
positive rod isolated colonies showed that mostly these are raised and most of the colonies had
opaque and moist in its opacity characteristics point of view.
99
Table 4.7: Total aerobic bacteria counts (CFU/g ± SD) in ruminal gut of dairy heifers fed
on control and probiotic feed
Days of age Feeding scheme
p-value Control2 COM-Probiotic3
Total aerobic1
0 6.25±*0.17 6.16±0.32 0.817
30 6.45±0.57 5.27±0.55 0.898
60 6.81±0.35 6.66±0.19 0.017
90 6.76±0.29 7.59±0.12 0.131
120 6.45±0.32 7.97±0.40 0.032
Lactobacillus species
0 4.22±0.94 4.61±0.86 0.607
30 4.63±0.38 5.44±0.13 0.178
60 4.86±0.43 6.31±0.14 0.039
90 5.28±0.30 6.47±0.10 0.030
120 5.53±0.49 6.98±0.28 0.042
Coliforms species
0 3.06±0.32 3.03±0.27 0.959
30 4.11±0.27 3.17±0.25 0.001
60 3.81±0.25 3.14±0.19 0.215
90 2.59±0.32 2.56±0.19 0.881
120 2.79±0.30 3.05±0.52 0.521
Lactococcus species
0 5.43±0.85 5.64±0.45 0.789
30 5.66±0.90 5.84±0.67 0.231
60 5.90±0.93 6.23±0.32 0.023
90 5.99±0.96 6.56±0.70 0.039
120 6.12±0.49 6.54±0.28 0.042
Enterococcus species
0 4.05±0.65 4.13±0.34 0.659
30 4.64±0.44 4.12±0.29 0.231
60 4.34±0.49 3.01±0.78 0.123
90 3.12±0.34 2.90±0.12 0.042
120 4.05±0.52 2.79±0.30 0.023 1n=4 per treatment, 2Control feed without yeast; 3COM-Probiotic feed compose of control feed supplemented with
2.5×1007cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 5g /day/animal; *±SEM = standard error of
the mean
100
Figure 4.3: Total aerobic count (CFU/g) in the ruminal gut of dairy heifers fed on control
feed (control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed plus
commercial yeast)
Figure 4.4: Total Lactobacillus count (CFU/g) in the ruminal gut of dairy heifers fed on
control feed (control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed
plus commercial yeast)
4.2
4.7
5.2
5.7
6.2
6.7
7.2
7.7
0 30 60 90 120
CFU
/g
Days
Control
COM-P
3
3.5
4
4.5
5
5.5
6
6.5
7
7.5
0 30 60 90 120
CFU
/g
Days
Control
COM-P
101
Figure 4.5: Total coliform count (CFU/g) in the ruminal gut of dairy heifers fed on control
feed (control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed plus
commercial yeast)
Figure 4.6: Total Lactococcus count (CFU/g) in the ruminal gut of dairy heifers fed on
control feed (control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed
plus commercial yeast)
2.4
2.6
2.8
3
3.2
3.4
3.6
3.8
4
4.2
0 30 60 90 120
CFU
/g
Days
Control
COM-P
5.25
5.45
5.65
5.85
6.05
6.25
6.45
0 30 60 90 120
CFU
/g
Days
Control
COM-P
102
Figure 4.3: Total Enterococcus (CFU/g) in the ruminal gut of dairy heifers fed on control
feed (control, ♦; no yeast) or commercial probiotic feed (COM-P, ■; control feed plus
commercial yeast)
All isolated grown on macconkey were appeared as gram negative macconkey the isolated
strains were appeared as gram negative rod, which full fill one of the property of coliform as
shown in Figure 4.12. They appeared as single rod and in the form of rod clusters under
microscopy on macconkey media. After isolation of pure colonies, we noted that most of the
bacterial isolated on the macconkey agar form the round and smooth colonies. These colonies
were mostly looked as translucent opacity, white yellowish colour, with convex elevation and
entire margin (Figure 4.12).
4.1.2.2 Biochemical characterization
In the biochemical characterization, isolated strains were distinguished according to Bergey‘s
manual of systematic bacteriology. On this basis, the pure isolates of gram positive rod have
respective characteristics i.e. they showed that catalase, indole, citrate, urease, oxidase and MR
tests were negative. These strains were non motile and also there was no gas (H2S) production.
On the basis of data obtained from physical and biochemical test results it was concluded that
these bacterial isolates Lactobacillus species. On the other hand, the pure isolates of gram
positive cocci have particular characteristics i.e. they showed that catalase, indole, urease and
oxidase tests were negative while citrate and MR were positive. These strains were non motile
and also there was no gas (H2S) production. On the basis of data obtained from physical and
biochemical test results we concluded that these bacterial isolates on the MRS agar were
identified as Lactococcus or Enterococcus species. On the basis of a distinguish test (grow at
4.2
4.7
5.2
5.7
6.2
6.7
7.2
7.7
0 30 60 90 120
CFU
/g
Days
Control
COM-P
103
different temperature) between Lactococcus and Enterococcus species grown on the temperature
(15 to 35 oC) and these are belong to Enterococcus species rest of the strains were belong to
Lactococcus species at different time interval. Biochemical test of the bacterial isolates on
macconkey agar showed that these are catalase, oxidase and MR positive while citrate, MR,
indole and citrate negative. These strains were motile and also there were no gas (H2S)
production. According to the experimental data, the isolated bacteria were identified as coliform
(Table 4.8).
Figure 4.8: Growth pattern of coliforms on machonkey agarLAB on MRS (Left)
Figure 4.9: Biochemical analysis of different bacterial isolates: (A) Simmon’s citrate test (B)
Triple sugar iron test (C) Methyl red test (D) Sulfide indole motility test (E) Indole test
104
Figure 4.10: Gram staining of Lactobacillus strains on MRS; gram positive rod
Figure 4.11: Gram staining of Lactococcus and Enterococcus strains on MRS; (A) Strain
QAULG03 and (B) Strain QAULG10. Both are gram + cocci
.Figure 4.12: Gram staining of Coliform strains on macconkey agar; gram + rod.
Table 4.8: Morphological, biochemical identification of bacterial isolates on MRS and mackonkey agar
Characteristics Selective bacterial strains
105
QAULG14 QAUEF07 QAUSG10 QAULG03 QAUEV12 QAUEV13
Morphology characterization
Gram staining +ve +ve +ve +ve -ve +ve
Shape Rod Cocci Cocci Cocci Rod Cocci
Form Round Circular Circular Round Circular Circular
Surface Smooth Smooth/shiny Shiny Smooth/
shiny
Smooth Shiny
Colour Creamish
white
Creamish Creamish white Creamish
white
Pinkish
white
Creamish
white
Margin Entire Convex Entire Entire Entire Entire
Elevation Raised Raised Slightly raised Raised Convex Slightly raised
Opacity Opaque Opaque Moist Opaque Translucent Moist
Biochemical characterization
Catalase -ve -ve -ve -ve +ve -ve
Oxidase -ve -ve -ve -ve +ve -ve
Indole -ve -ve -ve -ve -ve -ve
Citrate -ve +ve +ve +ve -ve +ve
Methyl red -ve +ve +ve +ve +ve +ve
TSI -ve -ve -ve -ve -ve -ve
Urease -ve -ve -ve -ve -ve -ve
Grow at
15°C NT* +ve +ve -ve NT +ve
25°C NT +ve +ve -ve NT +ve
35°C NT +ve +ve -ve NT +ve
Motility teat Non-motile Non-motile Non-Motile Non-motile Motile Non-Motile
H2S No No No No No No
Identified
microorganisms
Lactobacillus Enterococcus Enterococcus Lactococcus Escherichia Enterococcus
*Not tested
4.1.6 Partial 16S rRNA gene sequencing
Four strains were identified on molecular level by blasting the amplified nucleotide sequence
using a BLAST tool at National Centre for Biotechnology Information (NCBI) website. These
106
strains QAUEF07, QAUSG10, QAULG03, QAUEV12 and QAUEV13 were identified as
Enterococcus, Enterococcus, Lactococcus, Escherichia and Enterococcus species on the basis of
genotype. These 16S rRNA sequences were submitted to NCBI GenBank under the accession
numbers KP256014, KP256017, KP256012, KP256020 and KP256021 assigned to QAUEF07,
QAUSG10, QAULG03, QAUEV12 and QAUEV13 respectively (Table 4.9).
Table 4.9: Identification of isolated strains based on 16S rRNA gene sequences andthei1r
accession numbers published in DNA database.
Strain ID Strain name/
genus
Length
of 16Sr
RNA
(ntds)
Accession
number of
16 SrRNA
gene
Closely related
Validly published
species
Similarity %
of 16 S
r RNA gene
sequencing
QAUEF07 Enterococcus 1527 KP256014
Enterococcus
Lactis
ATCCTBT159 T
(GU983697)
99.51
QAUSG10 Enterococcus 902 KP256017
Enterococcus hirae
ATCC
9790 T (CP00304)
100
QAULG03 Lactococcus 959 KP256012
Lactococcus
garvieaeATCC
49156 T
(AP009332)
100
QAUEV12 Escherichia 895 KP256020
Enterobacter
xiangfangensis
ATCC
10-17 T
(HF679035)
99.50
QAUEV13 Enterococcus 817 KP256021
Entrococcus
faecium ATCC T
CGMCC 1.2136
(AJKH01000109)
100
4.1.7 Phylogenetic analyses of bacterial isolates
4.1.7.1 Lactococcus species
The blastn search revealed that Lactococcus QAULG03 (KP256012) had the highest sequence
similarity with the Lactococcus garvieae strain ATCC 49156T (AP009332); The Lactococcus
QAULL04 (KP256013) had the highest sequence similarity with the Lactococcus lactis subsp.
107
tructae L105T (EU770697) and The Bacterium QAULG02 (KP256011) had the highest sequence
similarity with the Lactococcus garvieae ATCC 49156T (AP009332) (Figure 4.13).
4.1.7.2 Enterobacter species
The blastn search revealed that Enterobacter QAUEV13 (KP25621) had the highest sequence
similarity with the Enterococcus faecium ATCCT CGMCC 1.2136 (AJKH01000109)) (Figure
4.14).
4.1.7.3 Enterococcus species
The blastn search revealed that Enterococcus QAUEF07 (KP256014) had the highest sequence
similarity with the Enterococcus Lactis ATCCT BT159T (GU983697). The Enterococcus
QAUSG10 (KP256017) had the highest sequence similarity with the Enterococcus hirae ATCC
9790T (CP00304) and The Enterococcus QAUSG07 (KP256015) had the highest sequence
similarity with the Enterococcus mundtii CECT972T (AJ420806). The Enterococcus QAUSG08
(KP256016) had the highest sequence similarity with the Enterococcus hirae ATCC 9790T
(CP003504). The Enterococcus QAUSKO1 (KP256018) had the highest sequence similarity
with the Enterococcus faecium ATCC CGMCC 1.2136T (AJKH01000109) (Figure 4.14).
108
Figure: 4.13: Phylogenetic tree of the Lactococcus QAULL04, QAULG03, QAULG02
species based on 16S rRNA gene sequence.
Lactococcus lactis subsp. Lactis JCM 5805T (BALX01000047)
Lactococcus lactis subsp. Hordniae NCDO 2181T (AB100804)
Lactococcus lactis subsp. Tructae L105T (EU770697)
Lactococcus QAULL04T (KP256013)
Lactococcus lactis subsp. Cremoris NCDO 607T (AB100802)
Lactococcus taiwanensis0905C15T (AB699722)
Lactococcus chungangensis CAU 28T (EF694028)
Lactococcus raffinolactis DSM 20443T (EF694030)
Lactococcus piscium CCUG 32732T (DQ343754)
Lactococcus plantarum DSM 20686T (EF694029)
Lactococcus formosensis516T (AB775178)
Lactococcus QAULG03T (KP256012)
Bacterium QAULG02T (KP256011)
Streptococcus orisuis NUM 1001T (AB182324)
99
100
92
84
97
67
100
96
0
0.01
109
Figure: 4.14: Phylogenetic tree of the Enterobacter QAUEV13 (KP25621) based on 16S
rRNA gene sequence.
Enterococcus devriesei LMG 14595T (AJ891167)
Enterococcus hermanniensis LMG 12317T (AY396047)
Enterococcus raffinosus NCIMB 12901T (Y18296)
Enterococcus malodoratus ATCC 43197T (ASWA01000002)
Enterococcus gilvus ATCC BAA-350T (AJDQ01000009)
Enterococcus viikkiensisIE3.2T (HQ378515)
Enterococcus pseudoavium NCFB 2138T (Y18356)
Enterococcus xiangfangensis 11097T (HF679036)
Enterococcus mundtii CECT972T (AJ420806)
Enterococcus pallens ATCCBAA-351T (AJAQ01000034)
Enterococcus canintestini LMG 13590T (AJ888906)
Enterococcus thailandicusFP48-3T (EF197994)
Enterococcus sanguinicola SS-1729T (AY321376)
Enterococcus durans CECT411T (AJ420801)
Enterobacter QAUEV13T (KP256021)
Enterococcus villorum ATCC 700913T (AJAN01000023)
Enterococcus ratti ATCC 700914T (AF539705)
Enterococcus hirae ATCC 9790T (CP003504)
Enterococcus lactis BT159T (GU983697)
40
29
49
34
56
63
68 15
21
0
0.0005
110
Figure: 4.15: Phylogenetic tree of the Enterococcus (KP256016, KP256017, KP256014,
KP256015, KP256018) species based on 16S rRNA gene sequence.
Enterococcus avium NCFB 2369T (Y18274)
Enterococcus xiangfangensis 11097 T (HF679036)
Enterococcus devriesei LMG 14595 T (AJ891167)
Enterococcus pseudoavium NCFB 2138 T (Y18356)
Enterococcus raffinosus NCIMB 12901 T (Y18296)
Enterococcus viikkiensis IE3.2 T (HQ378515)
Enterococcus QAUSG08T (KP256016)
Enterococcus durans CECT411 T (AJ420801)
Enterococcus villorum ATCC700913 T (AJAN01000023)
Enterococcus QAUEF07T (KP256014)
Enterococcus QAUSK01T (KP256018)
Entrococcus facium19434T (DQ411813)
Enterococcus lactis BT159T (GU983697)
Enterococcus hirae ATCC 9790T (CP003504)
Enterococcus QAUSG10T (KP256017)
Enterococcus thailandicus FP48-3T (EF197994)
Enterococcus sanguinicola SS-1729T (AY321376)
Enterococcus QAUSG07T (KP256015)
Enterococcus mundtii CECT972T (AJ420806)
Vagococcus penaei CD276T (FJ360897)
96
63
13
57
54
74
50
0
0.002
111
Figure: 4.16: Phylogenetic tree of the Escherichia QAUEV12 (KP25620) based on 16S
rRNA gene sequence.
4.1.8 Economic efficiency of dairy heifers fed on probiotic and non-probiotic feed.
Escherichia QAUEV12T (KP256020)
Enterobacter xiangfangensis 10-17T (HF679035)
Enterobacter asburiae JCM 6051T (AB004744)
Enterobacter cancerogenus LMG 2693T (Z96078)
Klebsiella Michiganensis W14T (JQ070300)
Pantoearodasii LMG 26273T (JF295053)
Pantoea septica LMG 5345T (EU216734)
Klebsiella pneumoniae subsp. pneumoniae DSM 30104T (AJJI01000018)
Klebsiella quasi pneumoniae subsp. quasipneumoniae 01A030T (HG933296)
Erwinia billingiae Eb661T (AM055711)
Kosakonia cowanii CIP 107300T (AJ508303)
Escherichia hermannii GTC 347T (AB273738)
Enterobacter hormaechei ATCC 49162T (AFHR01000079)
Erwinia aphidicola DSM 19347T (AB273744)
Enterobacter aerogenes KCTC 2190T (CP002824)
Cedeceaneteri GTC1717T (AB086230)
Raoultella terrigena ATCC 33257T (Y17658)
Citrobacter youngae CECT 5335T (AJ564736)
Citrobacter braakii CDC 080-58T (AF025368)
Tatumella citrea LMG 22049T (EF688008)
Serratia ureilytica NiVa51T (AJ854062)
Serratia odorifera DSM 4582T (ADBY01000001)
Leminorella grimontii DSM 5078T (AJ233421)
89
77 24
12
96
99 29
39
44
45
67 45
24
17
24
49
38
99
99
0.005
112
The cost of control feed was @ Rs. 11.00/kg used during the experiment. The cost of the
probiotic feed was calculated by sum up the cost of yeast supplementation/day @ Rs. 1.25/g and
the cost of control feed (Rs.11.00). During the experimental period for 4 months, dairy heifers
fed on the control and probiotic feed consumed similar feed (446.40 and 457.20 kg/animal).
Total cost incurred on per animal feed during whole experimental period was Rs. 4464.0 and
5359.50 for control and probiotic groups, respectively. The total feed cost incurred per kg gain of
was similar (62.00 vs. 62.03 Pakistani Rupees) among both groups (probiotic and control group
respectively) (Table 4.10). On the other hand probiotic feed has did not show any detrimental
effect on growth rate, health status and of heifers which is comparable to heifers fed control feed.
Results revealed that heifers reared on probiotic feed are economically not efficient in terms of
saving feed cost as compared to Sahiwal heifers fed control feed. There is a need to isolate an
indigenous probiotic strain for our local breeds which can be economically more efficient than
other available probiotic strains.
Table 4.10: Economic efficiency of dairy heifers fed on probiotic versus non-probiotic feed
Items Feeding scheme
Control1 COM-Probiotic2
Average daily feed intake (kg/animal) 3.72 3.81
Total feed intake (kg) 446.40 457.20
Total feed cost, (Rs3.) (A) 4464.0 4572.0
Daily yeast dietary supplementation (g/animal) 0.00 5.25
Total yeast supplementation (g) 0.00 630.00
Total yeast cost (Rs.) (B) 0.00 787.50
Grand total (A+B) cost (Rs.) 4464.0 5359.50
Average total weight gain (kg) 72.00 86.40
Feed cost per kg gain (Rs2 ) 62.00 62.03
Cost per kg of control feed was Rs. 10.00 and probiotic feed (Rs. 10.00 control feed/kg and Rs. 1.25/g
yeast)1Control feed without yeast; 2Probiotic feed compose of control feed supplemented with 2.5×10 07 cfu/g
commercially available probiotic yeast (Yac-Sac1026) at the rate of 5 g per animal/day; ± Standard error of the
mean.3Rs. Pakistani Rupee
4.2 Phase II: Isolation and characterization of locally isolated yeast as a probiotic for
dairy cattle
4.2.1 Identification of isolated strains
Microbial isolates were identified as S. cerevisiae QAUSC03 and QAUSC05 according to their
morphological and biochemical characteristics (Table 4.11). S. cerevisiae QAUSC03 and
113
QAUSC05 displayed high morphological and biochemical resemblance to the members of S.
cerevisiae (Figures. 4.17, a, b).
4.2.2 Qualitative enzymatic assays of isolated yeast strains
4.2.2.1 Amylolytic activity
Yeast strains (QAUSC03 and QAUSC05) displayed significant amylatic activity. Formation of
clear zone indicated the cellulolytic activity in yeast strains.
4.2.2.2 Cellulolytic activity
Yeast strains (QAUSC03 and QAUSC05) displayed significant cellulolytic activity. Formation
of clear zone indicated the cellulolytic activity in yeast strains.
4.2.2.3 Proteolytic activity
Yeast strains (QAUSC03 and QAUSC05) indicated the proteolytic activity with the formation of
clear zones around the colonies.
4.2.3 Estimation of potential pro-biotic properties of LAB
4.2.3.1 Bile tolerance activity
Yeast strains also showed a high resistance pattern to bile i.e., bile tolerance rate of strain no. 3 at
30, 60, and 90 minutes were 0.848, 1.042, and 1.146 (mean values), respectively. Similarly, the
mean values of strain no.5 at the same time duration were 0.966, 1.07, and 1.176 respectively.
This data thus analyzed the increasing pattern of bile tolerance effect in yeast strains and the
strains were resistant to bile (Figure 4.18).
4.2.3.2 Cholesterol assimilation effect
The cholesterol lowering effect of yeast strains was determined and results showed that the
calculated values of yeast strains S. cerevisiae QAUSC03 was lower than that of S.cerevisiae
QAUSCSC05. The cholesterol level of yeast strains (S. cerevisiae QAUSC03 and S. cerevisiae
QAUSC05) was mentioned in (Figure 4.19).
4.2.3.3 Anti-pathogenic activity
The antimicrobial activity of yeast strains (S. cerevisiae QAUSC03 and S. cerevisiae QAUSC05)
were identified against four ATCC culture strains of Listeria monocytogenes (ATCC13932), E.
coli (ATCC8739), Staphylococcus aureus (ATCC6538) and Pseudomonas aeruginosa
(ATCC9027) Yeast strains (QAUSC03 (Strain #3) and QAUSC05 (Strain #5) showed anti-
pathogenic activity against the three ATCC strains (E. coli, Staphylococcus aureus,
114
Pseudomonas aeruginosa), but it was absent in case of Listeria monocytogenes (Figure 4.20).
Their diameters of zones of inhibition were mentioned in (Table 4.12)
Table 4.11: Morphological and biochemical characteristics of isolated yeast strains
Parameters Yeast strains
QAUSC03 QAUSC05
Morphological characteristics
Cell shape Ellipsoid to elongate Ellipsoid to elongate
Colony morphology Circular Circular
Colony surface Smooth/Slimy Smooth
Colony colour Off-white Pinkish
Colony elevation Pulvinate Umbonate
Colony margin Entire Filamentous
Biochemical characteristics
Gram stain reaction + +
Alcohol production + +
Glucose fermentation + +
Sucrose + +
Urease - -
Enzymatic activities
Amylolytic activity - -
Cellulolytic activity +++ ++
Proteolytic activity ++ +
115
Figure 4.17: Simple staining of isolated yeast strains (L) QAUSC05 and (R) QAUSC03
Figure 4.18: Tolerance rate of isolated yeasts strains in bile salt (% + SEM)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
S. cerevisae QAUSC03 S. cerevisae QAUSC05
30 min 60 min 90 min
Tole
ran
cera
te %
116
Figure
4.19: Cholesterol assimilation of isolated yeast strains (%+SEM)
Figure 4.20: Anti-pathogenic activity of isolated yeast strains QAUSC03 (Strain #3) and
QAUSC05 (Strain #5) against ATCC strains with their zones of inhibition
Table 4.12: The anti-pathogenic activity of isolated yeast strains against ATCC strains and
their inhibitory zones diameter (mm)
Strains
E. coli
(ATCC8739)
Pseudomonas
aeruginosa
(ATCC9027)
Staphylococcus
aureus
(ATCC6538)
Listeria
monocytogenes
(ATCC13932)
QAUSC03 10 18 14 Nil
QAUSC05 10 14 16 Nil
4.3 Phase III: Study of the comparative impact of Saccharomyces cerevisiae (Yea-
Sac1026) and locally isolated yeast on productive performance and health status in
lactating dairy cattle
14
14.5
15
15.5
16
16.5
17
S. cerevisae QAUSC03 S. cerevisae QAUSC05
Ch
ole
ster
ol
ass
imil
ati
on
(%
) C
hole
ster
ol
ass
imil
ati
on
(%
)
117
4.3.1 Effect of probiotic feed on the productive performance of lactating dairy cattle
Ingredients and chemical composition of the control feed is given in Table 4.13. The results of
average dry matter intake (DMI), average daily milk yield, and feed conversion ratio (FCR) of
lactating dairy cattle fed on different treatments are given in Table 4.14. Highest value of
average DMI (10.08 ±0.21kg/d) was observed in lactating dairy cattle fed on LAB probiotic feed
whereas lowest and almost equal values were observed in lactating dairy cattle fed on control
feed (10.01±0.18 kg/d) and dairy cattle fed on COM probiotic feed (10.04±0.19 kg/d). The
difference in the DMI was non-significant (P>0.05) among all the treatments. After measuring
the daily milk yield, we noted that highest average milk yield (6.12±0.70 lit/d) was observed in
lactating dairy cattle fed on LAB probiotic feed followed by lactating dairy cattle fed on COM
probiotic feed (5.80±0.80 lit/d) while lowest (5.40±0.65 lit/d) milk yield was observed in
lactating dairy cattle fed on control feed. There was a significant difference (P<0.05) in milk
production of lactating dairy cattle fed on LAB probiotic feed than fed on control and COM
probiotic feed. Our results showed that FCR was non-significantly improved (P˃0.05) in
lactating dairy cattle fed on LAB probiotic feed and was reflected in the significantly increased
(P˂0.05) milk yield in this group.
4.3.2 Impact of probiotic feed on the milk composition in lactating dairy cattle
The results of the milk protein (MP), fat, total solids (TS), solid not fat (SNT), total ash (TA) and
lactose % of milk of lactating dairy cattle fed on control, LAB probiotic and COM probiotic feed
are given in Table 4.15. After milk analysis, we noted maximum (3.71±0.05%) MP in lactating
dairy cattle fed on LAB probiotic feed and minimum (3.39
Table 4.13: Ingredient and chemical composition of the control, LAB probiotic and COM
probiotic feed
Items Feeding Scheme
Control1 LAB-Probiotic2 COM-Probiotic3
Chemical composition (% DM)
Crude protein 15.23 15.23 15.23
Neutral detergent fibre 27.88 27.88 27.88
Acid detergent fibre 18.04 18.04 18.04
118
Calcium 0.69 0.69 0.69
Total phosphorous 0.57 0.57 0.57
Feed ingredients (%)
Maize oil cake 17.00 17.00 17.00
Cottonseed meal 13.00 13.00 13.00
Sunflower meal 1.00 1.00 1.00
Canola meal 6.00 6.00 6.00
Rice polish 6.00 6.00 6.00
Wheat bran 7.00 7.00 7.00
Corn gluten feed 4.00 4.00 4.00
Corn grains 11.00 11.00 11.00
Vegetable oil 2.00 2.00 2.00
Wheat straw 24.00 24.00 24.00
Cane molasses 6.00 6.00 6.00
Urea 0.50 0.50 0.50
Di-calcium phosphate 1.00 1.00 1.00
Limestone power 0.50 0.50 0.50
Sodium chloride 0.50 0.50 0.50
Minerals premix 0.50 0.50 0.50
1Control feed without yeast;2Probiotic feed compose of control feed supplemented with 2.5×10 07cfu/g
commercially available probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal; 3Probiotic feed compose of
control feed supplemented with 3.13×1007cfu/g laboratory produced probiotic yeast (QAUSC03) at the rate of 8g
/day/animal. 3 in addition to control feed the silage and fodder were also given to each group. The chemical
composition (% DM basis) of fodder (DM=14.28; CP=12.29; NDF=54.23; ADF=37.39) and maize silage
(DM=34.35; CP=8.04; NDF=50.60; ADF=31.31)
±0.11%) MP in lactating dairy cattle fed on COM probiotic feed respectively as compared to
dairy cattle fed on control feed (3.50±0.12%).Although highest value of MP was present in dairy
cattle fed on LAB probiotic feed but statistically it was non-significant (P>0.05) among all three
treatments in our study.
Table 4.14: Dry matter intake and milk yield (Means ± SEM) in lactating dairy cattle fed
on control, LAB-probiotic and COM-probiotic feed
Parameters Feeding scheme
Control2 LAB-Probiotic3 COM-Probiotic4
119
Av. Dry matter intake (Kg/day)1 10.01± *0.18 10.08 ± 0.21 10.04± 0.19
Milk yield (Lit/day) 05.40b ± 0.65 06.12a ±0.70 05.80b ± 0.83
Feed Conversion Ratio (FCR) 1.87±0.12 1.64±0.11 1.73±0.04
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control feed
without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory produces
probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×1007 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal;*±SEM
= standard error of the mean.
On the other hand highest (5.46±0.36 %) and significant (P<0.05) value of milk fat has been
recorded in dairy cattle fed on LAB probiotic feed as compared to dairy cattle fed on COM
probiotic and control feed. Dairy cattle fed on COM probiotic feed produced maximum
(15.22±0.23%) TS as compared to dairy cattle fed on LAB probiotic feed (14.51±0.59%) and
control feed (14.40±0.61%). Difference in milk TS values among all treatments was found to be
non-significant (P>0.05) in our study. When we calculated the SNF of the cattle milk, we note
that a non-significant (P>0.05) increased (10.44 ±0.50%) SNF in the dairy cattle fed on COM-
probiotic feed as compared to dairy cattle fed on LAB-probiotic feed (9.84±0.39%) and control
feed (9.05±0.74%). After calculation of milk lactose contents, we found that lactose content of
milk was higher (5.26±0.07 %) in dairy cattle fed on LAB-probiotic feed s as compared to dairy
cattle fed on COM-probiotic feed (5.23±0.08 %) and Control feed (5.09±0.15 %). Overall results
of cattle milk analysis showed that, there was no significant (P>0.05) difference in MP, TS, SNF
and lactose % among the treatments. On the other hand a significant (P<0.05) value of milk fat
has been recorded in dairy cattle fed on LAB probiotic feed as compared to other treatments.
4.3.3 Influences of probiotic on digestive performance in lactating dairy cattle
The results of the nutrient digestibility of dairy cattle fed on control, LAB- probiotic and COM-
probiotic feed are presented in Table 4.16. Results reveals that LAB-probiotic feed significantly
(P<0.05) NAD and ADF digestibility.
Table 4.15: Milk composition (Means ± SEM) of lactating dairy cattle fed on control, LAB-
probiotic and COM-probiotic feed
Parameters Feeding scheme
Control2 LAB-Probiotic3 COM-Probiotic 4
Protein, %1 3.39 ±* 0.11 3.71 ± 0.05 3.50 ± 0.12
120
Fat, % 4.60 ± 0.46b 5.46 ± 0.36a 4.78 ± 0.27b
Total solids, % 14.40 ± 0.61 14.51 ± 0.59 15.22 ± 0.23
Solid not Fat, % 9.84 ± 0.39 9.05 ± 0.74 10.44 ± 0.50
Lactose, % 5.09 ± 0.15 5.26 ± 0.07 5.23 ± 0.08
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control
feed without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory
produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×1007 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal;*
Standard error of the mean.
On the other hand LAB and COM probiotic feeds significantly (P<0.05) dry matter (DM),
organic matter (OM), crude fibre (CF) digestibility as compared to dairy cattle fed on control
feed. In our study, significantly (P<0.05) increased DM digestibility was seen in dairy cattle fed
on LAB-probiotic feed (62.81±0.94 %) and fed on COM-probiotic feed (61.11±1.94 %) as
compared to dairy cattle fed on control feed (56.34±1.13%). Similarly, when we analyzed the
CPD, we noted that a significantly (P<0.05) increased CP digestibility was noted in dairy cattle
fed on LAB-probiotic (63.56±1.12%) and COM-probiotic feed (61.43±1.04%) as compared to
dairy cattle fed on control feed (57.50±1.19 %). On the other hand, we noted a maximum NDF
digestibility (61.55±0.58 %) in dairy cattle fed on LAB probiotic feed and minimum value
(58.33±0.68%) in was seen in the dairy cattle fed on control feed, whereas in dairy cattle fed on
COM probiotic feed intermediate value of NDF digestibility (60.89±0.55%) was recorded. The
difference in the NDF was significantly (P˂0.05) better in dairy cattle fed on LAB-probiotic feed
as compared to dairy cattle fed on control and COM-probiotic feed. In our study, significantly
(P˂0.05) increased value of ADF digestibility (55.27±0.77%) was seen in the LAB probiotic
group as compared to COM-probiotic (54.27±0.56%) and control (54.27±0.56 %) groups. The
overall results reveals that DM and CP digestibility significantly improved (P˂0.05) in LAB and
COM probiotic groups as compared to control group. On the other hand the NDF and ADF
digestibility was significantly (P<0.05) better in the LAB probiotic group as compared to other
groups.
Table 4.16: Nutrient digestibility (Means ± SEM) of lactating dairy cattle fed on control,
LAB-probiotic and COM-probiotic feed
Parameters Feeding scheme
Control2 LAB-Probiotic 3 COM-Probiotic4
121
Nutrient digestibility%1
Dry matter 56.34±*1.13 b 61.11±1.94 a 62.81±0.94 a
Crude protein 57.50±1.19 b 61.43±1.04 a 63.56±1.12 a
Neutral detergent fibre 58.33±0.68 b 61.55±0.58 b 60.89±0.55a
Acid detergent fibre 51.47±0.34 b 55.27±0.77 b 54.27±0.56a
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control feed
without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory produces
probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×1007 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal;*±SEM
= standard error of the mean.
4.3.4 Influence of probiotics on hematological and biochemical parameters in dairy cattle
4.3.4.1 Hematological parameters:
The results of the red blood cells (RBC), white blood cells (WBC), hemoglobin (Hb), packed cell
volume (PCV), lymphocytes, monocytes and eosinophils were estimated before and after the
treatments are presented in the Table 4.17. All cattle have shown healthier hematological values
which is a sigh of good health. When we analysis the blood samples before treatment, we noted
that erytrocytic counts were highest (10.86±0.32 x106/µl) in dairy cattle fed on COM probiotic
feed as compared to dairy cattle fed on LAB probiotic (10.74±0.26 x106/µ) and control feed
(10.83±0.60 x106/µl). After treatment, we found that erytrocytic counts were highest (11.35±0.61
x106/µl) in dairy cattle fed on LAB probiotic feed as compared to dairy cattle fed on control feed
(11.11±0.58 x106/µl) and on LAB probiotic (10.82±0.35 x106/µ). The differences between the
treatments were non-significantly (P>0.05) before and after the treatment. On the other hand, we
noted that total leukocytic count were highest (10.65±0.19 x103/ml) in dairy cattle fed on the
LAB probiotic feed as compared to dairy cattle fed on control (10.30±0.41 x103/ml) and COM
probiotic feed (9.44±0.29 x103/ml) before treatment. After the treatment (day 60), total
leukocytic count were again highest (10.52± 0.20 x13/ml) in dairy cattle fed on LAB probiotic
feed as compared to dairy cattle fed on control and COM probiotic feed having 10.13±0.57
x103/ml and 9.78±0.39 x103/ml RBC counts, respectively. But, these differences in the RBC
counts were non-significantly (P>0.05) among the treatments in our study.
The concentration of PCV were highest (30.12±1.29%) in dairy cattle fed on the control feed as
compared to dairy cattle fed on probiotic feed supplemented with COM yeast (29.57±1.19%) and
supplemented with LAB yeast (29.65±1.66%) before the treatment. After treatment PCV were
122
again highest (32.32±0.47%) in dairy cattle fed on control feed as compared to dairy cattle fed on
LAB probiotic (31.61±1.21%) and COM probiotic feed (29.88±1.33 %). But, that difference was
non-significant (P>0.05) among groups before and after the treatments. On the other hand we
noted that at day 0, (before the treatment) hemoglobin level was non-significantly (P>0.05)
increased (10.64±0.21 %). in dairy cattle fed on control feed as compared to dairy cattle fed on
probiotic feed supplemented with COM yeast (10.55±0.55 %) probiotic feed supplemented with
LAB yeast (10.38±0.28%). On the other hand, at day 60 (after the treatment), haemoglobin level
was non-significantly (P>0.05) increased (10.83±0.24 %) in dairy cattle fed on feed
supplemented with LAB yeast supplemented as compared to dairy cattle fed on COM yeast
supplemented feed (10.60±0.75 %) and control feed with no yeast supplementation (10.41±0.18
%). When we measured the lymphocytes counts of dairy cattle, we noted that lymphocytes
counts were highest (53.15±2.63%) in dairy cattle fed on the control feed without yeast
supplementation as compared to dairy cattle fed on feed supplemented with COM yeast (52.15 ±
1.80%) and supplemented with LAB yeast (52.45± 1.59%) at day 0 (before the treatment). At
day 60 (after the treatment), lymphocytes counts was slightly highest (52.63±1.71%) in dairy
cattle fed on LAB probiotic feed.
Dairy cattle fed on COM yeast supplemented feed and control feed having similar (51.71±2.21
%) and (51.12±2.02%) lymphocytes counts at the end of treatment (day 60). But, that difference
was non-significant (P>0.05) among the treatments at day 0 and 60. At day 0 (before the
treatment), monocytes counts were highest (4.78±0.66%) in dairy cattle fed on the diet with LAB
yeast supplementation as compared to dairy cattle fed on feed supplemented with COM yeast
(4.01±10.79 %) on control feed (3.37±0.58%) supplemented with no yeast. At day 60 (after
treatment), monocytes were again highest (4.48±0.57%) in dairy cattle fed on LAB probiotic
feed as compared to dairy cattle fed on COM probiotic feed (4.34±0.59%) and dairy cattle fed on
control feed (3.67±0.35 %). But, that difference was non-significant (P>0.05) among the
treatments at day 0 and 60. At day 0 (before the treatment), eosinophils counts were highest
(4.41±0.19%) in dairy cattle fed on the diet with LAB yeast supplementation as compared to
dairy cattle fed on control feed (3.52± 0.20%) and dairy cattle fed on feed supplemented with
COM yeast (2.75± 0.32 %). At day 60 (after treatment), monocytes were again highest
(3.86±0.36%) in dairy cattle fed on LAB probiotic feed (4.34±0.59%) as compared to dairy cattle
123
fed on control feed (3.78±0.46 %) and dairy cattle fed on COM probiotic feed (2.64±0.29 %)
But, that difference was non-significant (P>0.05) among the treatments at day 0 and 60.
Table 4.17 Effect of dietary supplementation of yeast on haematological values (Means ±
SEM) in dairy cattle
Parameters Feeding scheme
Control2 LAB-Probiotic 3 COM-Probiotic 4
Erytrocytic count (x10 6/µl) 1
Before treatment5 10.83±*0.60 10.74±0.261 10.86±0.32
After treatment6 11.11±.0.58 11.35±0.617 10.82±0.35
Total leukocyte count (x103/ml)
Before treatment 10.30±0.41 10.65±0.19 9.44±0.29
After treatment 10.13±0.57 10.52±0.20 9.78±0.39
Packed cell volume (%)
Before treatment 30.12±1.29 29.65±1.66 29.57±1.19
After treatment 32.32±0.47 31.61±1.21 29.88±1.33
Haemoglobin (g/dl )
Before treatment 10.64±0.21 10.38±0.28 10.55±0.55
After treatment 10.41±0.18 10.83±0.24 10.60±0.75
Lymphocytes (%)
Before treatment 53.15±2.63 52.45±1.59 52.15±1.80
After treatment 51.12±2.02 52.63±1.71 51.71±2.21
Monocytes (%)
Before treatment 3.37±0.58 4.78±0.66 4.01±0.79
After treatment 3.67±0.35 4.48±0.57 4.34±0.59
Eosinophils (%)
Before treatment 3.52±0.20 4.41±10.19 2.75±0.32
After treatment 3.78±0.46 3.86±0.36 2.64±0.29
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control
feed without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory
produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
124
supplemented with 2.5×10 07 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal; 5Before
treatment (day 0);6after treatment (day 120); *±SEM = standard error of the mean
4.3.4.2 Blood serum metabolites
The results of some selected serum metabolites like cholesterol, glucose and urea nitrogen of
dairy cattle fed on different treatments are shown in Table 4.18. All values were in the normal
range for dairy cattle, which is a sign of good health. The 40- 60 mg/100ml blood glucose level
is required to maintain the physiological process of body. When we analyzed the urea levels of
the dairy cattle, we noted that serum urea level was lowest (14.18±0.21 mg/100ml) in dairy cattle
fed on the diet with LAB yeast supplementation as compared to dairy cattle fed on diet
supplemented with COM yeast (15.54±0.32mg/100ml) and dairy cattle fed on control diet
supplemented with no yeast (14.55±0.57 mg/100ml) before the treatment. On the other hand,
after the treatment, urea level was again lower (12.31±0.22 mg/100ml) in dairy cattle fed on diet
supplemented with LAB yeast as compared to dairy cattle fed on diet supplemented with COM
yeast (13.68±0.90 mg/100ml) and dairy cattle fed on control diet (14.18±0.58 mg/100ml). These
differences in serum urea levels were non-significant (P>0.05) among groups before the
treatment. On the other hand, after the treatments, dairy cattle fed on LAB probiotic and COM
probiotic feed differed significantly (P<0.05) from dairy cattle fed on control feed.
The serum cholesterol level was lowest (108.37±1.02 6mg/100ml) in dairy cattle fed on the
control diet without yeast supplementation as compared to dairy cattle fed on feed supplemented
with COM yeast (111.56 ± 4.78 mg/100ml) and dairy cattle fed on feed supplemented with LAB
yeast (110.72± 2.25 mg/100ml) before treatment. After the treatment, cholesterol level was
lower (102.85±1.65 mg/100ml) in dairy cattle fed on feed supplemented with LAB yeast as
compared to dairy cattle fed on feed supplemented with COM yeast (105.69±2.69 mg/100ml)
and fed on control feed (109.71± 1.98 mg/100ml). These differences were non-significant
(P>0.05) among the groups before treatment. On the other hand after the treatments, dairy cattle
fed on LAB probiotic feed differed significantly (P<0.05) from dairy cattle fed on control feed
and COM probiotic feed.
125
Table: 4.18 Effect of dietary yeast supplementation on blood parameters (Means ± SEM) in
lactating dairy cattle
Parameters Feeding scheme
Control2 LAB-Probiotic 3 COM-Probiotic4
Urea (mg/100ml)1
Before treatment5 14.55±*0.57 14.18±0.21 15.54±0.32
After treatment6 14.18b±0.58 12.31a±0.22 13.68a±0.90
Cholesterol (mg/100ml)
Before treatment 108.37 ± 1.02 110.72± 2.25 111.56± 4.78
After treatment 109.71b ± 1.93 102.85a ± 1.65 105.69b±2.69
Glucose (mg/100ml)
Before treatment 75.70 ± 1.24 73.99 ± 2.51 75.08 ± 2.30
After treatment 73.84± 0.71 77.42 ± 1.28 78.97 ± 0.54
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control
feed without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory
produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×10 07 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal; 5Before
treatment (day 0);6after treatment (day 120); *±SEM = standard error of the mean
The serum glucose concentrations before the treatment lower (73.99±2.51 mg/100ml) in dairy
cattle fed on diet supplemented with LAB yeast than dairy cattle fed control diet without any
yeast supplementation (75.70±1.24 mg/100ml) and COM yeast supplementation (75.08±2.30
mg/100ml). After the treatment, glucose concentration was increased (78.97±0.54 mg/100ml) in
the COM probiotic group as compared to LAB probiotic group (77.42±1.28 mg/100ml) and
control group (73.84±0.71 mg/100ml). No significant (P>0.05) effect of the probiotic feed on
glucose concentration was noted before and after the treatment in our study.
4.3.4.3 Blood serum macro-minerals
The results of the calcium (Ca), phosphorus (P), sodium (Na) and potassium (K) concentration in
blood serum of dairy cattle fed different feeding scheme are given in Table 4.19. When we
analyzed the results of Ca concentration of lactating dairy cattle, we noted that before the
treatment, serum Ca concentration was non-significantly (P<0.05) highest (9.38±0.03 mg/100ml)
in LAB probiotic group than COM probiotic (8.71±0.08 mg/100ml) and control (8.68± 0.05
126
mg/100ml) groups. On the other hand, after the treatment, Ca concentration was again non-
significantly (P<0.05) higher (9.28 ±0.03 mg/dl) in LAB probiotic group than COM probiotic
(8.86 ±0.09 mg/100ml) and control (8.65±0.03 mg/100ml) group. After determination of
Phosphorus (P) concentration in blood serum, we found that before treatment, P level was lower
(7.58±0.04 mg/100ml) in the control group as compared to LAB probiotic group (7.89±0.02
mg/100ml) and COM probiotic group (7.85±0.04 mg/100ml) and after the treatment the P
concentration was again lower (7.81±0.04 mg/100ml) in the control group as compared to LAB
probiotic group (8.00±0.02 mg/100ml) and COM probiotic group (7.87±0.02 mg/100ml).
Differences in values among groups were found to be non-significant (P>0.05) before and after
the treatment in our study.
After estimation of serum K concentration, we observed that before the treatment, almost similar
K concentration in control (5.60±0.13 meq/l) LAB probiotic (5.58±0.27 meq/l) and COM
probiotic (5.64±0.15 meq/l) groups. After the treatment, the K concentration was lower
(5.25±0.10 meq/l) in the LAB probiotic group than control group (5.65.±0.10 meq/l) and COM
probiotic group (5.32±0.05 meq/l). Difference in K concentration values among groups were
found to be non-significant (P>0.05) before and after the treatment in present study. When we
determine the Na concentration in the serum of dairy cattle, we noted that, before the treatment,
concentration of Na in blood serum was higher (126.53±2.40 meq/l) in dairy cattle fed on LAB
probiotic feed as compared to dairy cattle fed on COM probiotic feed (125.86±0.19 meq/l) and
control feed (123.86±0.90 meq/l). In the same manners, after the treatment, the Na concentration
was again highest in the dairy cattle fed on LAB probiotic (130.64±1.59 meq/l) than control
group (127.10.±1.03 meq/l) and COM probiotic group (127.17±1.49 meq/l). Difference in Na
concentration values among all treatments was found to be non-significant in present study.
Overall result showed that Ca, P, K and Na concentration were unaffected by probiotic in the
blood of dairy cattle
Table 4.19: Effect of dietary yeast supplementation on blood serum metabolites (Means ±
SEM) in lactating dairy cattle
Parameters Feeding regime
Control2 LAB-Probiotic3 COM-Probiotic 4
Calcium (mg/dl)1
127
Before treatment5 8.68±*0.05 9.38±0.03 8.71±0.08
After treatment6 8.65±0.03 9.28±0.03 8.86±0.09
Phosphorus (mg/dl)
Before treatment 7.58± 0.04 7.89 ± 0.02 7.85± 0.04
After treatment 7.81 ± 0.04 8.00 ± 0.02 7.87 ± 0.02
Potassium (meq/l)
Before treatment 5.60±0.132 5.58±0.27 5.64±0.15
After treatment 5.65± 0.107 5.25 ± 0.10 5.32 ± 0.05
Sodium (meq/l)
Before treatment 123.86 ± 0.90 126.53 ± 2.40 125.86 ± 1.75
After treatment 127.10 ± 1.03 130.64 ± 1.59 127.17 ± 1.49
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control
feed without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g laboratory
produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×10 07 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g /day/animal; 5Before
treatment (day 0);6after treatment (day 120); *±SEM = standard error of the mean
4.3.5 Effect of probiotic on microbial growth trends in ruminal gut samples of dairy cattle
The average total aerobic bacterial count, Enterococcus, Lactococcus, Bacillus and Coliform
species of ruminal gut samples of lactating dairy cattle fed on probiotic feed as determined at 0,
30 and 60 days of the experiment are given in Table 4.20. After analysis of samples we noted
that, at day 0, total aerobic count was higher (7.98±1.23 CFU/g) in lactating dairy cattle fed on
control diet as compared to dairy cattle fed on diet supplemented with LAB yeast
(6.12±1.11CFU/g) and dairy cattle fed on diet supplemented with COM yeast (6.98±1.98
CFU/g). But that difference was non-significantly among the groups at day 0. At day 30 of the
experiment total aerobic counts were non-significantly (P>0.05) increased (7.64±0.87 CFU/g) in
dairy cattle fed on diet supplemented with LAB yeast than dairy heifers fed on control diet
without any yeast supplementation (6.90±0.89 CFU/g) in dairy cattle fed on diet supplemented
with COM yeast (5.44±1.09 CFU/g). At day 60 of the experiment the total aerobic counts were
significantly (P˂0.05) increased (8.12±0.54 CFU/g) in the dairy cattle fed on control diet without
yeast supplementation than the dairy cattle fed on diet supplemented with LAB-yeast
(7.97±0.81CFU/g) and supplemented with COM yeast (7.71±0.38 CFU/g). The changes in the
128
number of total aerobic counts, as affected by the different probiotic yeast are depicted in Fig.
4.21.
At day 0, the numbers of total Lactococcus counts were non- significantly (P>0.05) higher
(4.01±0.34 CFU/g) in lactating dairy cattle fed on control diet as compared to dairy cattle fed on
diet supplemented with LAB yeast (3.54±0.49 CFU/g) and dairy cattle fed on diet supplemented
with COM yeast (3.87±0.98 CFU/g). At day 30 of the experiment total aerobic counts were
slightly increased (4.17±0.39 CFU/g) in dairy cattle fed on diet supplemented with COM yeast
than dairy cattle fed on diet supplemented with LAB yeast (3.98±0.50 CFU/g) and dairy heifers
fed on control diet without any yeast supplementation (4.12±0.58 CFU/g). At day 60 of the
experiment the numbers of total Lactococcus species were significantly (P˂0.05) increased
(4.09±0.71 CFU/g) in the dairy cattle fed LAB probiotic feed than fed on control feed(3.49±0.41
CFU/g)and non-significantly (P>0.05) increased in the dairy cattle supplemented with COM
yeast fed diet (3.90±0.34 CFU/g). The changes in the number of Lactococcus counts, as affected
by the different feed supplements are depicted in Fig. 4.22.
After estimation of Enterococcus counts in ruminal gut samples, we observed that at day 0,
Enterococcus counts in COM-probiotic animals were higher (5.61±0.45 CFU/g) as compared to
LAB probiotic (4.81±0.65 CFU/g) and control (4.19±0.25 CFU/g) groups. On the other hand, at
day 30, the Enterococcus counts were lower (4.06±0.29 CFU/g) in the COM probiotic group
than control group (4.92±0.43 CFU/g) and LAB probiotic group (4.96±0.55 CFU/g). At day 60,
the Enterococcus counts COM-probiotic animals were higher (5.61±0.45 CFU/g) as compared to
LAB probiotic (3.44±0.68 CFU/g) and control (3.94±0.49 CFU/g) groups. Difference in K
concentration values among groups were found to be non-significant (P>0.05) before and after
the treatment in present study. The changes in the number of Enterococcus counts, as affected by
the different probiotic yeast are depicted in Fig. 4.23.
After estimation of Bacillus counts in ruminal gut samples, we observed that at day 0, Bacillus
counts in COM-probiotic animals were higher (5.17±0.78 CFU/g) as compared to LAB probiotic
(5.12±0.34 CFU/g) and control (4.99±0.10 CFU/g) groups. On the other hand, at day 30, the
Bacillus counts were lower (4.34±0.45 CFU/g) in the LAB probiotic group than control group
(4.76±0.98 CFU/g) and COM probiotic group (4.78±0.34 CFU/g). At day 60, the Bacillus counts
129
COM-probiotic animals were higher (5.12±0.12 cfu/g) as compared to LAB probiotic (4.12±0.78
CFU/g) and control (4.23±0.87 CFU/g) groups. Difference in K concentration values among
groups were found to be non-significant (P>0.05) before and after the treatment in present study.
The changes in the number of Enterococcus counts, as affected by the different probiotic yeast
are depicted in Fig. 4.24.
Table 4.20: Total bacteria counts (CFU/g ± SD) in ruminal gut of lactating dairy cattle fed
on control and probiotic feed
Days of age Feeding scheme
Control2 LAB-Probiotic3 COM-Probiotic4
Total aerobic count1
0 7.98±1.23 6.12±1.11 6.98±1.98
30 6.90±0.89 7.64±0.87 5.44±1.09
60 8.12±0.54a 7.97±0.81b 7.71±0.38b
Lactococcus species
0 4.01±0.34 3.54±0.49 3.87±0.98
30 4.12±0.58 3.98±0.50 4.17±0.39
60 3.49±0.41b 4.09±0.71a 3.90±0.34a
Enterococcus species
0 4.19±0.25 4.81±0.65 5.61±0.45
30 4.92±0.43 4.96±0.55 4.06±0.29
60 3.94±0.49 3.44±0.89 5.15±0.67
Bacillus species
0 4.99±0.10 5.12±0.34 5.17±0.78
130
30 4.76±0.98 4.34±0.87 4.78±0.34
60 4.23±0.41 4.12±0.78 5.12±0.12
a, b Values on the same row with different superscripts differ significantly (p<0.05); 1n=3 per treatment; 2Control
feed without yeast; 3LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 CFU/g laboratory
produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 4 COM-Probiotic feed compose of control feed
supplemented with 2.5×10 07 CFU /g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g
/day/animal;*±SEM = standard error of the mean
4.3.6 Isolation, characterization and identification of Lactococcus, Enterococcus, Bacillus
species from ruminal gut of dairy cattle
MRS agar supported as a specific media for growth of lactic acid bacteria (LAB) and TSA agar
for growth of Bacillus species. Their further properties were examined on the basis of
morphology, gram staining and biochemical tests (Table 4.21).
4.3.6.1 Colony and cell morphology:
Results of gram stating showed that all isolated strains on MRS were gram positive either rod or
cocci. They appeared as long chain, single rod, cocci and in the form of rod clusters under
microscopy on MRS media. The forms of the colonies of gram positive rod isolates were mostly
round and irregular with smooth, rough shiny surface. Most of the colonies were creamish and
creamish white colors with entire and convex margin. The results of elevation characteristics of
gram positive rod isolated colonies showed that mostly these are raised or slightly raised and
most of the colonies had opaque in its opacity characteristics point of view.
On the other hand the forms of the colonies of gram positive cocci isolates were mostly circular.
The surface characteristics of the gram positive cocci were mostly found to be smooth, shiny
with creamish white colors with entire margin. The results of elevation characteristics of gram
positive rod isolated colonies showed that mostly these are raised and most of the colonies had
opaque and moist in its opacity characteristics point of view.
All isolated grown on TSA were appeared as gram negative rod, which full fill one of the
property of Bacillus. They appeared as single rod and in the form of rod clusters under
microscopy on macconkey media (Table 4.21). After isolation of pure colonies, we noted that
most of the bacterial isolated on the TSA agar form the circular with smooth surface colonies.
131
These colonies were mostly looked as translucent opacity, white yellowish colour, with convex
elevation and entire margin
4.3.6.2 Biochemical characterization
The pure isolates of gram positive cocci have particular characteristics i.e. they showed that
catalase, indole, urease, TSI and oxidase tests were negative while citrate and MR were positive.
These strains were non motile and also there was no gas (H2S) production. On the basis of data
obtained from physical and biochemical test results we concluded that these bacterial isolates on
the MRS agar were identified as Lactococcus or Enterococcus species.
Figure 4.21: Monthly variations in total aerobic count of lactating dairy cattle fed on
diet supplemented with a) no yeast (control, ♦), laboratory yeast (LAB-Y, ■) or
commercial yeast (COM-Y, ▲)
5
5.5
6
6.5
7
7.5
8
8.5
9
0 30 60
CFU
/g
Days
Control
LAB-Y
COM-Y
132
Figure 4.22: Monthly variations in total Lactococcus species count of lactating dairy
cattle fed on diet supplemented with a) no yeast (control, ♦), laboratory yeast (LAB-
Y, ■) or commercial yeast (COM-Y, ▲)
Figure 4.23: Monthly variations in total Enterococcus species count of lactating
dairy cattle fed on diet supplemented with a) no yeast (control, ♦), laboratory yeast
(LAB-Y, ■) or commercial yeast (COM-Y, ▲)
3.35
3.45
3.55
3.65
3.75
3.85
3.95
4.05
4.15
4.25
0 30 60
CFU
/g
Days
Control
LAB-Y
COM-Y
3.2
3.7
4.2
4.7
5.2
5.7
6.2
0 30 60
CFU
/g
Days
Control
LAB-Y
COM-Y
133
Figure 4.24: Monthly variations in total Bacillus species count of lactating dairy
cattle fed on diet supplemented with a) no yeast (control, ♦), laboratory yeast (LAB-
Y, ■) or commercial yeast (COM-Y, ▲)
On the basis of a distinguish test (grow at different temperature) between Lactococcus and
Enterococcus species we concluded that most of the gram positive cocci bacterial isolated grown
at MRS were grown on the temperature (15 to 35 oC) and these are belong to Enterococcus
species rest of the strains were belong to Lactococcus species at different time interval. The pure
isolates of gram positive rods have particular characteristics i.e. they showed that catalase, citrate
and oxidase positive and urease, indole, TSI and MR tests were negative. These strains were
motile and there was no gas (H2S) production. On the basis of data obtained from physical and
biochemical test results we concluded that these bacterial isolates on the TSA agar were
identified as Bacillus species. Biochemical test of the gram negative rods bacterial isolates on
macconkey agar showed that these are catalase, oxidase and MR positive while TSI, urease,
indole and citrate negative. These strains were motile and also there was no gas (H2S)
production. According to the experimental data, the isolated bacteria were identified as
Enterobacter species (Table 4.21).
4.3.7 Partial 16S rRNA gene sequencing
Seven strains were identified on molecular level by blasting the amplified nucleotide sequences
using a BLAST tool at National Centre for Biotechnology Information (NCBI) website
http://www.ncbi.nlm.nih.gov/. And, these strains QAUBL11, QAULG02, QAULG04,
4
4.2
4.4
4.6
4.8
5
5.2
0 30 60
CFU
/g
Days
Control
LAB-Y
COM-Y
134
QAUSG07, QAUSG08, and QAUSK01 were identified as Bacillus, Lactococcus, Enterococcus,
Enterococcus, and Enterococcus species on the basis of genotypic analysis. These 16S rRNA
sequences were submitted to NCBI GenBank under the accession numbers KP256019,
KP256011, KP256013, KP256015, KP256016 and KP256018 assigned to strains QAUBL11,
QAULG02, QAULG04, QAUSG07, QAUSG08, and QAUSK01 respectively (Table 4.22).
4.3.8 Phylogenetic analyses of bacterial isolates
The blastn search revealed that Bacillus QAUBL11 (KP25619) had the highest sequence
similarity with the Bacillus Licheniformis ATCC 14580T (AE017333). The blastn search
revealed that Bacterium QAULG02 (KP25611) had the highest sequence similarity Lactococcus
garvieae ATCC 49156T (AP009332).
Table 4.21: Morphological, biochemical identification of selavtive bacterial isolates on MRS and TSA
Characteristics Selected bacterial isolates
QAUBL11 QAULG02 QAULG04 QAUSG07 QAUSG08 QAUSK01
Morphology characterization
Gram staining +ve +ve +ve +ve +ve +ve
Shape Rods Cocci Cocci Cocci Cocci Cocci
Form Circular Circular Circular Round Circular Round
Surface Smooth Smooth Shiny Smooth/shiny Shiny Shiny
Colour Creamish Creamish Creamish
white
Creamish
white
Creamish
white
Creamish white
Margin Undulate Convex Entire Entire Entire Entire
Elevation Raised Raised Slightly raised Raised Slightly raised Raised
Opacity Opaque Opaque Moist Opaque Moist Opaque
Biochemical characterization
Catalase +ve -ve -ve -ve -ve -ve
Oxidase +ve -ve -ve -ve -ve -ve
Indole -ve -ve -ve -ve -ve -ve
Citrate +ve +ve +ve +ve +ve +ve
Methyl red -ve +ve +ve +ve +ve +ve
TSI -ve -ve -ve -ve -ve -ve
Urease -ve -ve -ve -ve -ve -ve
Grow at NT +ve +ve +ve +ve +ve
15°C NT +ve +ve +ve +ve +ve
25°C NT +ve +ve +ve +ve +ve
135
35°C NT +ve +ve +ve +ve +ve
SMT M NM NM NM NM NM
H2S No No No No No No
Identified
Microorganisms
Bacillus Lactococcus Lactococcus Enterococcus Enterococcus Enterococcus
*NT=Not Tested
Table 4.22: Identification of isolated strains based on 16SrRNA gene sequence and their
accession numbers published in DNA database.
Strain ID Strain
name/ genus
Length
of 16S
r RNA
(ntds)
Accession
number of
16S rRNA
gene
Closely related Validly
published species
Similarity
% of 16S r
RNA gene
sequencing
QAUBL11 Bacillus 885 KP256019
Bacillus licheniformis
ATCC 14580T
(AE017333 )
99.66
QAULG02 Bacterium 871 KP256011
Lactococcus garvieae
ATCC 49156T
(AP009332)
99.89
QAULL04 Lactococcus 913 KP256013
Lactococcus lactis subsp.
ATCC Cremoris NCDO
607T (AB100802) 100
QAUSG07 Enterococcus 963 KP256015 Enterococcus mundtii
CECT972T (AJ420806) 99.9
QAUSG08 Enterococcus 925 KP256016 Enterococcus hirae ATCC
9790 T (CP003504) 100
QAUSK01 Enterococcus 903 KP256018
Enterococcus faecium
ATCC CGMCC 1.2136T
(AJKH01000109)
100
The blastn search revealed that Lactococcus QAUBLL04 (KP25613) had the highest sequence
similarity with Lactococcus lactis subsp. ATCC Cremoris NCDO 607T (AB100802). The blastn
search revealed that Enterococcus QAUSG07 (KP25615) had the highest sequence similarity
with Enterococcus mundtii CECT972T (AJ420806). The blastn search revealed that
Enterococcus QAULG08 (KP25016) had the highest sequence similarity Enterococcus hirae
ATCC 9790T (CP003504). The blastn search revealed that Enterococcus QAULSK01
(KP25018) had the highest sequence similarity Enterococcus faecium ATCC CGMCC 1.2136T
(AJKH0100010) (Figure 4.13, 4.15, 4.16).
136
4.3.9 Economic efficiency of dairy cattle fed on probiotic feed
A cost per kg of concentrate was Rs. 11.50; silage was Rs. 8 and fodder was Rs. 6 used during
the experiment. The cost of the commercial available probiotic feed was calculated by sum up
the cost of yeast supplementation/day @ Rs. 1.25/g and the cost of control feed @ 25.50/kg
(concentrate Rs. 11.50; silage Rs. 8 and fodder Rs. 6) and the cost of the laboratory produced
probiotic feed was calculated by sum up the cost of yeast supplementation/day @ Rs. 1.65/g and
the cost of control feed @ 25.50/kg (concentrate Rs. 11.50; silage Rs. 8 and fodder Rs. 6).
During the experimental period for 2 months, dairy cattle fed on the control , COM-P and LAB-P
feed consumed similar feed (29.33; 29.67 and 29.5 kg/animal/d). Total cost incurred on per
animal feed per day during whole experimental period was Rs. 208.48; 223.72 and 222.00 for
control, COM-P and LAB-P group, respectively. The value of milk throughout the experimental
period was 223.52; 265.88 ad 242.00 for control, COM-P and LAB-P group respectively. On the
other hand probiotic feed has did not show any detrimental effect on health status of dairy cattle
which is comparable to dairy cattle fed control feed. Results revealed that cows fed on LAB-P
feed are economically efficient in terms of saving feed cost as compared to fed control and
COM-P feed. The net profit/Lit milk was also better in LAB-P feed fed group compared to
others group (Table 4.23).
137
Figure: 4.16: Phylogenetic tree of the Bacillus (KP25619) based on 16S rRNA gene
sequence.
Table 4.23: Economics of milk production of dairy cattle fed on probiotic yeast
Bacillus tequilensis KCTC 13622T (AYTO01000043)
Bacillus mojavensis RO-H-1T (JH600280)
Bacillus subtilis subsp. inaquosorum KCTC 13429T (AMXN01000021)
Bacillus subtilis subsp. spizizenii NRRL B-23049T (CP002905)
Bacillus subtilis subsp. subtilis NCIB 3610T (ABQL01000001)
Bacillus siamensis KCTC 13613T (AJVF01000043)
Bacillus amyloliquefaciens subsp. amyloliquefaciens DSM 7T (FN597644)
Bacillus amyloliquefaciens subsp. plantarum FZB42T (CP000560)
Bacillus atrophaeus JCM 9070T (AB021181)
Bacillus QAUBL11T (KP256019)
Bacillus sonorensis NBRC 101234T (AYTN01000016)
Bacillus licheniformis ATCC 14580T (AE017333)
Bacillus aerius 24KT (AJ831843)
Bacillus oryzaecorticis R1T (KF548480)
57
45
57
61
88
77
98
54
65
70
0
0.005
138
Parameters Feeding scheme
Cont1 LAB-P2 COM-P3
Feed intake (Kg/d) 3.00 3.00 3.00
Silage intake (Kg/d) 8.00 8.00 8.00
Fooder intake (Kg/d) 18.33 18.67 18.50
Value of feed @4Rs.11.50/ Kg 34.50 34.50 34.50
Value of silage @ Rs.8/ Kg 64.00 64.00 64.00
Value of fodder @ Rs.6/ Kg 109.98 112.02 111.00
Yeast intake (g/d/animal) 0.00 8.00 10.00
Cost of yeast @ Rs.1.25/g COM ; 1.65/g LAB 0.00 13.20 12.50
Total cost (feed+silage+fodder+yeast)/d/animal 208.48 223.72 222.00
Daily milk production (Lit) 05.40 06.12 05.80
Value of milk @ Rs.80/Lit 432.00 489.60 464.00
Profit Rs./d / animal 223.52 265.88 242.00
Economic efficiency(feed cost/kg milk prod ) 38.61 36.56 38.28
Net profit /Lit milk Rs.(net Income/ milk prod/d ) 41.39 43.44 41.72
1Control feed without yeast; 2LAB-Probiotic feed compose of control feed supplemented with 3.13×1007 cfu/g
laboratory produces probiotic yeast (QAUSC03) at the rate of 8g /day/animal 43COM-Probiotic feed compose of
control feed supplemented with 2.5×10 07 cfu/g commercially probiotic yeast (Yac-Sac1026) at the rate of 10g
/day/animal; 4Rs= Pakistani Rupee
Chapter-5
DISCUSSION
139
5.1 Phase 1: Determination of the impact of Saccharomyces cerevisiae (Yea-Sac1026) on
the performance of dairy heifers
5.1.1 Effect of probiotic on the growth performance of dairy heifers
The growth of the animal is usually directly related to the amount of feed intake and nutrients
utilization. Over the entire trial of 4 months (heifer of 6 to 10 months age), dry matter intake
(DMI) did not differ between dairy heifers fed on control and probiotic supplemented feed
whereas, average daily gain (ADG) was 6.2% more in heifers fed on diet supplemented with
probiotic yeast. The improved growth was might be due to increased nutrient digestion and
absorption in our study. YC also has a positive effect on the FCR in current study. The improved
(P˃0.05) FCR reflected in the increased (P˂0.05) average daily gain in dairy heifers fed on
probiotic yeast. Overall results have showed that the probiotic yeast have an ability to improve
growth efficiency of dairy heifers. Probiotic yeast has a single cell protein, which is effective for
improved growth and well-being of ruminants by stimulating rumen acetogens (Halasz and
Lasztity, 1990; Klein et al., 1995; Kurtzman et al., 2011).
The present observations are in agreement with the findings of Kumar et al. (2011), who noted
significantly (P<0.05) higher (549.91 vs 462.13 g/d) ADG and improved FCR in claves fed on
probiotic yeast at the rate of 0.25g/d. That improved growth rate might be due to the higher DMI
(5.24 vs 4.60 kg/d) in claves fed on probiotic supplemented feed than control feed. On the other
hand, Lascano et al. (2009) reported that inclusion of YC tends to require significantly (P<0.05)
less DMI to maintain T-ADG as compared to dairy heifers fed on control diet. Recently, a study
published by Terre et al. (2015) demonstrated similar findings in post weaning calves and noted
(P=0.053) rapid growth (0.82 vs. 0.68 kg/d) fed on diet supplemented with yeast culture. So, we
can inferred here, that improve growth efficiency might be due to the improved DMI (2.34 vs
2.10 kg/d) in yeast fed group.
Lesmeister and Heinrichs (2004) noted significantly (P<0.05) improved (15.6 %) ADG in the
claves fed on starter ration supplemented with 2 % YC than claves fed on diet without YC. The
increased ADG may be an effect of residual gut fill and/or increased bone growth in claves. An
improved ADG in animals is reported due to increased flow of microbial protein leaving the
rumen and an improve amino acid supply in the small intestine (Rao et al., 2003). Our result
showed that skeletal measurements were not changed (P˃0.05) by addition of yeast culture in
140
dairy heifers. Zanton and Heinrichs (2007) and Lascano et al. (2009) found no change in the
structural measurements in the dairy heifers fed diet with YC supplementation. In contrast to our
results, Lesmeister and Heinrichs (2004) reported daily hip width change was also significantly
(P<0.05) improved in the claves fed on 2% YC supplemented diet compared to control diet. In
contrast to this study YC showed no effect on the growth performance in dairy animals (Kung et
al., 1997; Pinos-Rodríguez et al., 2008; Kellems et al., 1990; Quigley et al., 1992). That
inconsistency in YC effects on the animals might be due to the difference in the genotype,
management conditions and the diet.
5.1.2 Effect of probiotic on digestion performance of dairy heifers
5.1.2.1 Dry Matter Digestibility (DMD)
Results of present study indicated that apparent total tract DM digestibility (DMD) during
growing phase was higher (60.25 vs. 55.52 %) in Sahiwal dairy heifers fed on probiotic feed than
control feed. Similar results were reported by Lascano et al. (2009), who observed that YC
supplementation significantly (P<0.05) improved the DMD (74.97 vs. 73.65%) in dairy cattle
heifers fed diets with high concentrate along with Saccharomyces cerevisiae at the rate of 1g/kg
as fed bases cattle heifers. Di Francia et al. (2008) reported significantly (P<0.05) improved
DMD in the claves fed on the diet supplemented with fungus (S. cervisiae and Aspergillus
oryzae) as compared to control group. In another report, Lascano et al. (2012) from USA, found
increased DMD in dairy heifers fed on a diet containing the high starch or low starch, with a
sequence of YC doses (0, 10, 30 and 50 g daily). The lack of impact of YC on the DMD has been
seen in many animals (Harris et al., 1992; Doreau and Jouany, 1998; Cooke et al., 2010; Tripathi
and Karim, 2010). The differences from the present study could be due to the difference in
degree of nutritional scheme.
5.1.2.2 Organic Matter Digestibility (OMD)
In the present study, apparent total tract OM digestibility was significantly (p<0.05) higher
(6.91%) in animals fed on probiotic supplemented feed than control feed. Similarly, Di Francia
et al. (2008) found significantly (P<0.05) higher OMD (83 vs 74%) in yeast fed claves. In
another study by Lascano et al. (2012) from USA, dairy heifers fed on YC showed increased
(P<0.01) OMD than control group. On the other hand, some researchers showed that yeast
addition has no impact on the OMD in ruminants (El-Ghani, 2004; Tripathi and Karim, 2010).
141
5.1.2.3 Crude Protein Digestibility (CPD)
Yeast supplementation has a significant (P<0.05) impact on the CPD in our present study.
Results indicated that CPD was 5.16% higher in the dairy heifers fed on probiotic feed as
compared to the dairy heifers fed on control feed. In another report, Di Francia et al. (2008)
determine the effect of dietary supplementation of fungal strains in the claves and noted that
significantly (P<0.05) higher CPD in the claves fed on the diet supplemented S. cerevisiae and
Aspergillus oryzae. Proteins in the feed are quickly breakdown into peptides, amino acids and
NH3 by rumen protozoa and fungi (Wallace et al., 1997). Some NH3 is converted into microbial
protein (MP), and some ammonia is used by the animal in the form of urea. An important portion
of rumen ammonia is excreted and represents an indication of nitrogen loss of the dietary
nitrogen (N) (20 to 25%). Amino acids and peptides issued from dietary proteins cannot be
directly slip in the animal intestine, if the diet has highly nutritious value (Fonty and
Chaucheyras-Durand, 2006). The same effect on ammonia concentration was seen with daily YC
supplementation in adult ruminants (Kumar et al., 1994). The in vitro findings explain that
probiotic yeast could alter the growth and activities of protein degrading bacteria, which
ultimately enhanced the protein digestion in rumen gut (Beev et al., 2007). The mode of action
of YC can be explained by a competition between live S. cerevisiae cells and different bacterial
species for energy utilization (Chaucheyras-Durand et al., 2005). In a study on fourteen dairy
cows’ field trials an addition of probiotic yeast in the diet noted that the soluble nitrogen of the
diet was a key factor to drive the production parameters to the probiotics-yeast (Sniffen et al.,
2004). However, with other yeast strain no significant effect was observed on the concentration
and fraction of microbial nitrogen in dairy cattle (Putnum et al., 1997; Chaucheyras-Durand et
al., 2010). In contrats, some scientists (Arambel and Kent, 1990; Andrighetto et al., 1993)
observed no effect of yeast culture on CPD with dairy animals.
5.1.2.4 Neutral Detergent Fibre Digestibility (NDFD)
In the current study, apparent total tract NDFD was significantly (P˂0.05) influenced by YC
addition. That improved nutrient digestibility might be due to increased cellulose degrading
microbial biomass population inside rumen. NDFD were also affected (P˂0.05) by YC
supplementation in other studies. The increased digestibility can be due to stable rumen pH and
removal of oxygen from the rumen in the YC supplemented group. That stable rumen pH
provides better environment for growth of rumen microbes, especially cellulose degrading
142
bacteria and fungi. At the same time, the anaerobic condition inside rumen also helped in better
growth of fibrolytic microbial biomass. Consequently, these microbial species helped in better
fibre digestion. The stable pH also enhanced microbial protein synthesis in the rumen. Our data
support the findings Lascano et al. (2012) who reported increased NDFD in the dairy heifers fed
on diet supplemented with YC. Similarly, (Fadel, 2007) noted that YC in the hay diet improved
NDFD in goats. Lascano et al. (2009) and Carro et al. (1992) demonstrated that SC significantly
improved NDF degradation by ruminal microbiota in the dairy heifers fed on the high energy
diet. They suggested that the YC had a diet-dependent effect. Newbold et al. (1990) reported that
Aspergillus oryzae fermentation extract and SC stimulated fiber degradation by their action on
ruminal bacterial population. Wiedmeier et al. (1987) noted that supplementation of YC
significantly improved the hemicellulose digestibility and highlighted that the improvement
might be due to the increased cellulolytic bacterial population after YC supplementation. On the
other hand, Wiedmeier et al. (1987); Wohlt et al. (1991) and Moallem et al. (2009) noted no
significant effect of YC on the NDF digestibility.
5.1.2.5 Acid Detergent Fibre Digestibility (ADFD)
SC has a significant (P˂0.05) effect of the ADFD in current study. Our results indicated that
dairy heifers fed on probiotic feed have 4.27% higher ADFD as compared to the dairy heifers fed
on the control feed. In a report, Lascano et al. (2012), found increased ADFD in the dairy heifers
fed on diet supplemented with increasing YC dose. On the other hand, in contrast of our results,
Lascano et al. (2009) reported that SC has no significant (P>0.05) affect on ADFD in the dairy
heifers fed on the high or low energy diet. It has been noted that nutrient digestibility was not
affected when YC supplemented in high energy and corn gelatinized (Arambel and Kent, 1990;
El-Ghani, 2004; Cooke et al., 2007). The fermented YC provides wide range of enzymes,
vitamins, organic acids and amino acids that stimulate the growth and function of lactic acid
bacteria (Callaway and Martin, 1997). These growth factors may stimulate synthesis and
secretion of IGF I from liver on absorption from gastrointestinal tract. The increased digestibility
of nutrient may be due to improved activities and function of microbial population increased
ruminal anaerobes and cellulolytic bacteria (Jouany, 2001; Chevaux and Mazzia-Fabre, 2007).
5.1.3 Influences of probiotic on the hematological and biochemical parameters of dairy
heifers
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5.1.3.1 Hematological parameters
In our current study, all hematological values of the dairy heifers before and after the treatment
were within the normal physiological range, which is a sign of good health.
5.1.3.1.1 Erytrocytic count
Supplementation with YC significantly (p<0.05) increased the erytrocytic count end of
treatment. These results are concurrent with results observed in an early study with dairy claves
(Dobicki et al., 2005). He reported that erythrocytes counts increased by 0.80-1.24 thousand, in
calves fed on diet supplemented with YC as compared to the claves fed on control diet. In the
same manner, Milewski and Sobiech (2009) reported significantly (P≤0.01) increased (10.25 vs
8.88 1012/L) erytrocytic count in ewes fed on the diet supplemented with YC.
5.1.3.1.2 Leukocytic Count
Leukocytic counts were significantly (p<0.05) increased in our study. Similarly,Milewski and
Sobiech (2009) noted that YC has associated with significantly (P ≤ 0.05) increased erythrocytes
counts (10.25 vs 8.88 1012/L) during year I of the experiment. Similar results were reported by
Dobicki et al. (2005) who noted that leukocytic counts were increased (1.71-2.54 thousand) in
dairy claves fed on the diet supplemented with YC.
5.1.3.1.3 Packed Cell Volume (PCV)
PCV levels range from 26.45 to 30.84 % in heifers fed on feed supplemented with probiotic
yeast and 22.13 to 28.99 % in heifers fed on control feed without any supplementation during 6
to 10 months of age. PCV levels were not influenced by probiotic yeast in our study. In contrast
to our study, Milewski and Sobiech (2009) noted that YC had associated with significantly (P ≤
0.05) increased erythrocytes counts in ewes during yeast I and II of their experiment.
5.1.3.1.4 Haemoglobin
During the present trial, the haemoglobin (Hb) levels were significantly (p<0.05) higher in dairy
heifers fed on probiotic feed. Agazzi et al. (2014) reported that haemoglobin levels were affected
by probiotic addition in growing claves. In the same manner, Milewski and Sobiech (2009) noted
that YC had significantly (P≤0.01) higher haemoglobin concentration in the supplemented ewes
as compared to non-supplemented ewes (101.70 vs 114.00 g/L). Dobicki et al. (2005) reported
an improved Hb by 0.28-0.78 mmo|/l in claves supplemented with SC as compared to non-
supplemented claves.
5.1.3.2 Lymphocytes
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Lymphocytes level‘s range was from 52.81 to 59.71% in dairy heifers fed on probiotic feed and
49.70 to 55.34 % in heifers fed on control feed. Lymphocytes levels were not influenced by
probiotic yeast in our study. In contrast to our study, Milewski and Sobiech (2009) reported that
YC supplementation had associated with significantly (P≤0.05) improved erythrocytes counts in
ewes during yeast I and II of the experiment.
5.1.3.2.1 Eosinophils
Eosinophils level‘s range was from 6.35 to 6.94 % in heifers fed on feed supplemented with
probiotic yeast and 4.85 to 5.34 % in heifers fed on control feed without any supplementation
during 6 to 10 months of age. Probiotic yeast has a significant (P<0.05) effect on the eosinophils
levels in our study. In the same manner, Agazzi et al. (2014) reported that probiotic had
associated with significantly (P≤0.05) increased eosinophils levels in claves.
5.1.3.2.2 Monocytes
Monocytes level‘s range was from 4.70 to 7.34% in dairy heifers fed on probiotic feed and 4.37
to 6.23% in heifers fed on control feed. Monocytes levels were not influenced by yeast
supplementation in our study.
5.1.3.3 Blood biochemical parameters
Blood serum constituents reflect the metabolic status of the animal and are frequently used to
assess the reproductive and productive performance of the farm animals. Heifers are the farm
animals, in which period, great care has to be exercised for the earlier reproduction and for better
production thereafter. Under filed conditions, crossbred heifers are usually underfed, which
results in deficiencies of certain nutrients and ultimately reflected in the levels of certain
biochemical constituents.
5.1.3.3.1 Cholesterol
Cholesterol concentration was significantly (P<0.05) influenced by probiotic yeast in our study.
Average cholesterol concentration with references to age of the dairy heifers was significantly
(P<0.05) higher probably to meet growth and other physiological requirement in both groups.
YC supplementation changes the propionate, butyrate and valerate acid in the animals. The
increase in these acids is capable of reducing the synthesis of triglyceride and cholesterol in the
liver cells and may change the lipid profile in blood of the animals (Miller-Webster et al., 2002;
Marden et al., 2008). Nicolosi et al. (1999), studied the effect of YC on the blood parameters of
the ruminants and he noted that the yeast cell is a rich source of β-glucans which reduce the total
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cholesterol of serum of the animals. Kowalik et al. (2013) reported significantly (P<0.05)
decreased cholesterol in the serum. Contrary to the findings of the present study, some studies
have showed that YC had no influence on triglyceride and total cholesterol concentration of
serum (Galıp, 2006; Masek et al., 2008; Campanile et al., 2008).
5.1.3.3.2 Glucose
Serum glucose was significantly (P<0.05) affected by YC supplementation. Glucose
concentration was 3.29% higher in the dairy heifers fed on probiotic feed. The increased level of
glucose was might be due to increased nutrient utilization that resulted in an increased dry matter
and organic matter digestibility in present study. Hossain et al. (2012) reported that serum
glucose was statistically (P<0.05) higher in YC supplemented claves as compared to non-
supplemented claves. Lascano et al. (2012) studies the effect of YC on the blood metabolites in
dairy heifers. Diet was composed of high and low starch with YC dose (0, 10, 30 and 50 g/day).
He noted that the increasing YC dose tended to increase (P ≤0.10) glucose concentration. He
correlated that increased level of glucose in dairy heifers with increased nutrient utilization that
reflects the diet dependency of the mode of action of yeast culture. SC is a source of glucose
tolerance factor and has stimulated glucose utilization by cell in vitro. The age of the animals has
exhibited highly significant variation in serum glucose level in the cattle heifers.
5.1.3.3.3 Blood Urea Nitrogen
Changes in the serum urea N concentration in cattle heifers fed on probiotic feed and heifers fed
on control feed were significant (P<0.05) at the end of trial. YC supplementation significantly
(P<0.05) lower the serum urea concentration in current study. That lower concentration of urea N
in the dairy heifers fed on probiotic yeast might be due to increased protein digestibility. Because
the intake of N is lower in heifers fed on probiotic feed compared to heifers fed on control feed
that is why concentration of the urea N were lower in the heifer fed probiotic feed compared to
heifers fed on control feed. This observation is in agreement with Dolezal et al. (2011), who
reported that YC significantly lower the urea N in the dairy animals. Contrary to the findings of
our study, some researchers (Putnam et al., 1997; Bagheri et al., 2009; Nikkhah et al., 2004)
reported that urea level was unaffected by YC supplementation.
5.1.3.4 Blood macro-minerals
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Macro-minerals concentration in the blood serum of dairy heifers was not affected (P>0.05) by
probiotic yeast in our study. Minerals are important to maintain growth requirements of the dairy
animals and play an important role in the action of hormonal and enzymes (NRC, 2001).
5.1.3.4.1 Calcium
Reproductive function are directly or indirectly related to Ca levels (Bansal et al., 1978)and
involved in steroid biosynthesise in ovaries (Shemesh et al., 1984). In adult cattle the normal
range of Ca is 9.00 to 10.00 mg/dl and in dairy heifer is 10.70 mg/dl (NRC, 2001; Jabbar, 2004).
In the current study, serum Ca concentration range from 8.60 to 8.72 mg/dl in heifers fed on
probiotic feed and 8.36 to 8.64 mg/dl in control heifers during 6 to 10 months of age. Piva et al.
(1993) demonstrated that silage, hay and concentrate based diet supplemented with YC had no
effect on the Ca concentration in dairy animals. Contrary to the finding of the present study,
Dolezal et al. (2011) reported that calcium concentration was higher (P<0.05) in dairy animal fed
on probiotic yeast compared to the dairy animal fed on control diet.
5.1.3.4.2 Phosphorus
Serum P is very important macro-mineral in cellular metabolism of all animals. The central
compound in energy metabolism adenosine triphosphtae is phosphorylated compound. In
growing cattle the normal range of Ca is 6.00 to 8.00 mg/dl (NRC, 2001). Serum P concentration
range from 6.43 to 6.57 mg/dl in heifers fed on feed supplemented with probiotic yeast and 6.33
to 86.61 mg/dl in heifers fed on control feed without any supplementation during 6 to 10 months
of age. Similar finding were reported by Bansal et al. (1978) and Dolezal et al. (2011) who
demonstrated that probiotic yeast had no effect on P concentration in blood serum in dairy
animals.
5.1.3.4.3 Potassium
Serum K concentration range was from 5.43 to 5.44 meq/l in dairy heifers fed on probiotic feed
and 5.36 to 5.49 meq/l in heifers fed on control feed during 6 to 10 months of age. Similar results
were reported by Piva et al. (1993) who found that silage, hay and concentrate based diet
supplemented with YC had no effect on the K concentration in dairy animals.
5.1.3.4.4 Sodium
Serum Na concentration range from 120.92 to 129.12 meq/l in dairy heifers fed on probiotic feed
and 119.93 to 127.67 meq/l in heifers fed on control feed during 6 to 10 months of age. Similar
results were reported by Piva et al. (1993) who reported that silage, hay and concentrate based
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diet supplemented with YC had no effect on the Na concentration in dairy animals. In contrary
Milewski and Sobiech (2009) reported that YC significantly (P≤0.05) higher the concentrations
of Na+ions compared with non- supplemented ewes.
5.1.4 Impact of probiotic on the changes in the ruminal gut microbial flora of dairy
heifers
Different types of microbiota have been studied in the ruminal gut of the growing animals. Such
as, Lactobacillus, Lactococcus, Bacillus, Enterococcus, Clostridia, Coliform, E. coli,
Salmonella, Campylobacter, Bifidobacteria (Kawakami et al., 2010; Ayad et al., 2013;
Bayathouhsar et al., 2013; Agazzi et al., 2014). In current study, coliform and Lactobacillus
species have been affected by yeast supplementation in dairy heifers during 6 to 10 months of
age. There was a variation in levels of coliform and Lactobacillus in ruminal gut at 0 day in both
supplemented and control groups. Because heifers were obtained from different locations,
variation may be due to feeding behavior and different environmental condition. Environmental
circumstances and host factors usually influence the multifarious composition of the gastro-
intestinal micro-flora (Vlkova et al., 2006).Young animals have unbalanced state of intestinal
micro-biota (Lukas et al., 2007) whereas healthy (adult) animals enclose stable state of intestinal
micro-flora that set aside appropriate growth conditions. Less variation was observed for heifers
fed on uniform feeding scheme and gave same management. There were significant (P˂0.05)
effects of yeast supplementation on the numbers of Lactobacillus in heifers’ ruminal gut samples
in 60, 90 and 120 days. Yeast supplementation significance (P˂0.05) increased the numbers of
fecal Lactobacillus with passage of time. Considering the overall growth impact from day 0 up
till day 120, the CFU/g values demonstrated an increased Lactobacillus growth trend in both
groups. The increased growth was higher (P˂0.05) in YC fed group than control group suggested
that the yeast supplementation has a capability to improve gut microbial flora and reduce the
diarrhea. Same trend was reported by Kawakami et al. (2010). The coliform counts (Escherichia,
Enterobacter and Citrobacter) were similar in both groups during 0, 60, 90 and 120 days of the
experiment.
In our study, coliform count was significantly (P=0.001) higher in control group than
supplemented group at day 30. That might be due to the digestive problem in control group
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during these days. Two heifers of control group got diarrhea which might have led to
significance difference (P=0.001) in both group at 30 days of experiment. With passage of time
the diarrheal condition were eliminated and the number of fecal coliform bacteria were decreased
in supplemented group than control group. Our results indicated that the number of coliform in
supplemented and control group were higher on day 0 compared with day 120. The number of
Lactobacillus species in feces is a widely used index for estimation of balance of intestinal flora ,
however higher numbers of coliform indicates dysbiosis (Fuller, 1989). SC supplementation has
positive effect on Lactobacillus population with respect to age. Our results are in agreement with
finding many researchers who reported that fecal population of Lactobacillus increases with
probiotic supplementation (Agazzi et al., 2014; Bayatkouhsar et al., 2013). Many studies
indicated that coliform range could increase when some disorder occur (Ellinger et al., 1980;
Jenny et al., 1991). However, the result of previous reports are controversial about the effect of
probiotics on the number of fecal coliform species of ruminants. Some researchers reported that
feeding probiotics significantly decreased the counts of fecal coliform species, as reported
byAgarwal et al. (2002) but others for instant Ellinger et al. (1980) reported no effect of
probiotic on coliform counts. During these studies diarrheal condition were not observed
throughout the experimental period and may account for the absence of significant changes in
coliform numbers. The number of coliform is higher than that of Lactobacilli in the animal’s
suffering from diarrhea, but lower in healthy animals, which suggested that coliform numbers L:
C ratio could be used as indicator for estimation of intestinal microbial flora associated with
diarrhea. The L: C ratio hypothesis was also confirmed in these studies. The improved gut health
condition in our study was confirmed by lower incidence of diarrhea in supplemented group as
compared to control group. Similar result were noted by Kawakami et al. (2010), who observed
that feeding yeast and lactic acid bacteria lower the incidence of diarrhea by improving fecal
flora.
In our present study, total aerobic counts were highly affected by probiotic supplementation with
passage of time. The total aerobic counts were similar and no (P˃0.05) difference was seen in
both groups during 0 and 30 days of the experiment. Meanwhile, total counts was significantly
(P˂0.05) higher in control group than supplemented group at day 60, 90 and 120. That might be
due to the increased Lactobacillus species and decreased coliform species during 60, 19 and 120
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days of the experiment. Lactobacillus species might increase the total aerobic counts in the yeast
fed group. From our present study, microbial growth dynamics were analyzed in dairy heifer’s
fecal samples with respect to age. With respect to age (7, 8, 9 and 10 month), considerably there
was slight differentiation in total bacterial count in heifers fed on probiotic feed as compared to
heifers fed on control feed. This indicates that in dairy animals, age puts significant influence on
total bacterial count. The only factor that might contributes to this variation in bacterial count is
the age of animals, since other factors including diet and health conditions were similar in both
cases. This may be possibly because of the reason that cattle have wide contact with other
animals rather than heifers and heifers have unbalanced state of intestinal flora, too as mentioned
above by (Lukas et al., 2007).
Lactococcus is a genus of lactic acid bacteria and mostly it is non-pathogenic bacteria. In current
study, gram positive and calatase negative cocci were Lactococcus species were non-
significantly (P>0.05) increased in the non-yeast fed group than yeast supplemented group at 0
and 30 days of the experiment. On the other hand these bacterial species were significantly
(P˂0.05) affected by the yeast supplementation at 60 90 and 120 days of the experiment. In
present study, the numbers of Entrococcus species in the dairy heifers were not affected by
probiotic yeast at 0, 30 and 60 days of the experiment. Enterococcus species were significantly
(P˂0.05) increased in the non-yeast fed group than yeast supplemented group a 90 and 120 days.
The pathogenic Enterococcus species decreased in supplemented group than control group
suggested that the yeast supplementation has a capability reduce the infection in the dairy heifers
during their growing phase. Similar finding has been reported by (Jatkauskas and Vrotniakiene,
2010) who reported that probiotic has an ability to reduce the Enterococcus species in GIT. He
also noted that the in the control animals the Enterococcus species numbers were 4.0×103 cfu/g
and in the probiotic treated animals that number was 1.4×108 CFU/g. Likewise, Rada et al.
(2006) reported that probiotic fed group decreased the supplemented group numbers of
Enterococcus species. It was found that in growing animals fed on probiotic supplementation the
numbers of the Enterococcus species were 6.79 CFU/g and in the animals fed only control diet
the Enterococcus species were 7.60 CFU/g. Moreover, the age of cattle also affects the
Enterococcal colonization (Devriese et al., 1992). Results from this study indicate that probiotic
may have an ability to reduce the pathogenic bacteria (i.e. E.coli) and increase the beneficial
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bacteria (Lactobacillus sp). The probiotic may have beneficial effects on calf gut health by
improving its daily weight gain, feed intake and FCR.
5.1.5 Impact of probiotics on economic efficiency of dairy heifers.
Sahiwal cattle heifers fed on the feed supplemented with probiotic yeast may encourage reducing
the feeding costs. Sahiwal cattle heifers fed on the probiotic feed almost similar (62 vs. 62.03
Pakistan Rupees) feed cost for one kg live weight than heifers fed on control feed over the entire
feeding period. Results showed that dairy cattle heifers fed probiotic feed are economically not
efficient in term of feed cost by consumption of similar DM. Although the weight gain was
better in the probiotic group over control group, but the cost of the probiotic yeast has increased
the total feed cost in that group as compared to the control feed in which no yeast is included.
Feed cost has an important cost factor having direct effect on growth performance of the heifers.
When heifers gained more weight, then relative intake portion used for maintenances should be
decreased, which showed that an improved growth was effective in feed cost saving. In present
study, both groups consumed similar DMI. The probiotic yeast has no potential benefits to lower
the feed cost per unit weight gain in growing heifers in present study. In contracts to our study,
Magalhaes et al. (2008) reported that feeding YC improved profit in dairy claves by 48 dollar
per calf by decreasing morbidity and mortality rates. The difference might be due to the breed
and feeding types. On the other hand the positive effect of the probiotic yeast is that it did not
show any detrimental effect on health status and growth performance of the dairy heifers. The
economic advantage of microbial feed additives depends on the price of yield culture and the
lactation stage of the animal yeast strain age, diet, breed and geographical location of the
animal (Yalçın et al., 2011, Vibhute et al., 2011). In this context, there is an urgent need for
developing clear information on probiotic utilization and its efficiency in local dairy animals.
Such information can definitely help local farmers, scientific, and government official to
formulate suitable plan to enhance the dairy sector in Pakistan. Little work has been
conducted in Pakistan relating to the use of probiotics to enhance the performance
parameters of dairy animal. From this line of motivation, in the second phase of study, we
developed probiotic yeast for our local breed.
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5.2 Phase II: Isolation and characterization of locally isolated yeast as a probiotic for
dairy cattle
5.2.1 Probiotic characterization of locally isolated yeasts strains
The two fecal isolates were identified as Saccharomyces cerevisiae (QAUSC03 and QAUSC05)
according to their morphological and biochemical characterization. Yeast used as probiotic
addition is commonly delivered in a food system and begin their journey to the lower intestinal
tract via the mouth. Therefore, these useful organisms should be resistant to the lysozyme
enzymes in the oral cavity and α–amylase, lysozyme, and tryps in enzymes in the intestinal tract
(Shukla et al., 2010). In our study, both yeast strains displayed notable cellulolytic and
proteolytic activity but no amylolytic activity. The enzymatic activity of probiotic strains
increases feed utilization efficiency. The yeast isolates exhibit the specific probiotic properties.
Particularly, the strain QAUSC03 appears to be the best probiotic candidate in terms of all three
criteria. Bile tolerance activity, cholesterol assimilation, and production of antimicrobial
compounds are the phenomenal characteristics of yeast strains. Tolerance to bile salt is one of
important characteristics of microbiota for survival and metabolic activity in the gastrointestinal
tract. Probiotic strains must be resistant to bile salts and survive at low pH as stomach maintains
the pH from 2.5-3.3 to restrict bacterial growth (Holzapfel et al., 1998). In this study, yeast
strains (QAUSC03 and QAUSC05) showed better resistance at pH 3 and (1%) bile salt
concentration. Their maximum survival rate was calculated at 90 minutes. Yeast strains showed
a higher resistance to bile, the growth pattern of QAUSC03 strain was not affected in the
presence of bile salt.
Similarly, the growth of QAUSC05 strain was also remained undisturbed in the presence of bile
salt. The number of surviving strains implied that both strains had a relatively high tolerance to
bile salts. These results fully support the bile tolerance activity and show that these tested strains
have the capability of hydrolyzing bile salts by the activity of bile salt hydrolase (BSH) enzyme
(Hofmann and Mysels, 1992). BSH activity has been reported in many species, including
Lactobacillus, Peptostreptococcus, Bifidobacterium, Clostridium and Bacteroide associated with
GIT (Gilliland and Speck, 1977).
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This enhances the survival rate of probiotics strains and provides resistance against bile salts.
Similar results were reported by (Rajkowska and Kunicka-Styczynska, 2010) in which they
investigated the probiotic ability of yeasts at pH 1.5 and their survival was 85.3 to 92.1%. Chen
et al. (2010) also observed the bile tolerance activity among different yeast strains. He reported
that, yeast strains P. guilliermondii HY18, Trichosporon gracile HJ2, Geotrichum sp. BY2 and
Yarrowiali polytica HY4 showed competent bile tolerance activity at 0.5% bile salt
concentration. The difference in the level of bile tolerance of strains in the study might be due to
differences in their ability to grow and colonize the GIT. (Dunne et al., 2001; Hosono, 1999)
reported the same reasons of the bile tolerance of the yeast strains. Similarly, cholesterol effect
was also observed on the isolated yeast strains (QAUSC03 and QAUSC05). Among these
strains, the yeast strain QAUSC03 showed better cholesterol assimilation than QAUSC05 yeast
strain. This reduction in cholesterol level is probably assumed due to the deconjugation of bile
acids in the liver. (Liong and Shah, 2005) reported that using probiotics strains is one of the most
effective ways to control cholesterol level. Formerly, (Razin et al., 1980) suggested that S.
boulardii, P. kudriavzevii and S. cerevisiae have been estimated as possible probiotics for their
ability to lower the cholesterol from past few years. It is reported that the cholesterol reduction is
a consequence of deconjugation of bile salts (Fukushima and Nakano, 1996). This leads to an
increased excretion of bile acids.
Cholesterol is used as a precursor for the synthesis of new bile acids due to which serum
cholesterol reduces (Tamai et al., 1996; Driessen and de Boer, 1989). An in-vitro study
demonstrated the cholesterol lowering effect by L. fermentum probiotics strain (Pereira et al.,
2003). Klaver and Vandermeer, (1993) in their study also illustrated that some Lactobacillus sp.,
undergo cholesterol assimilation by in-vitro deconjugation of bile salts. Hence, bile tolerance and
cholesterol lowering effect are correlated and is implied as primary factor for the selection of
probiotics strains. The cholesterol lowering capacity of S. cerevisiae strains were determined as
16.1 and 15.5 percent for QAUSC03 and QAUSC05 respectively. The degradation of cholesterol
in rumen leads to lower blood cholesterol in cattle; which ultimately decreases cholesterol
secretion in milk. The antimicrobial activity of yeast strains was estimated against four reference
pathogens strains commonly associated with rumen GIT disorders. It was observed that both
strains showed anti-pathogenic activity, against Escherichia coli (ATCC8739), Staphylococcus
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aureus (ATCC6538) and Pseudomonas aeruginosa (ATCC9027) but it was absent in case of
Listeria which is probably due to the production of some antimicrobial compounds. In the same
manner Roostita et al. (2011) reported that, fruit yoghurt isolate shown the best antimicrobial
activity. They reported that against Pseudomonas aeruginosa, they showed 35 mm clear zone,
against Staphylococcus aureus they showed 8 mm clear zone and against E. coli they showed 10
mm clear zone. It is observed by many scientists that different organic acid and protein present in
the yeast. These organic acids and proteins were known as antimicrobial compounds that inhibit
the bacteria and mold growth (Roostita, 2004). Yeast has an ability to produced sulphur dioxide
that can inhibit the growth of spoilage lactic acid bacteria (Fleet, 2003).
Phase III: Study the comparative impact of Saccharomyces cerevisiae (Yea-Sac1026) and
locally isolated yeast on productive performance and health status in lactating dairy cattle
5.2.2 Impact of probiotic on productive performance of lactating dairy cattle
Over the entire feeding period, 11.7% and 5.22 % higher milk production was found in cattle fed
on LAB-P feed as compared to dairy cattle fed on control feed and COM-P feed respectively.
The highest milk production in the LAB-P group is might be due to cellulolytic activity of the
locally isolated probiotic yeast (QAUSC03). This activity significantly (P<0.05) improved the
NDF and ADF digestibility and enhanced the overall cellulose digestion rate in our study. That
improved cellulose digestibility enhanced the supply of energy and absorbed nutrients for milk
production. On the other hand, DMI and FCR did not differ between dairy cattle fed on probiotic
and non-probiotic feed in current study. Overall results have showed that the probiotic yeast have
the ability to improve production efficiency of lactating dairy cattle. No previous experiments
(that we know of) have evaluated the effects of laboratory produced YC on milk production of
dairy cattle of Sahiwal and Sahiwal Jersey breed. Higher milk yield without increased DMI due
to commercially available probiotic YC supplementation have previously been noted in dairy
animals.
Our results are in the argument with the recent work by Salvati et al. (2015) who did an
experiment to determine the impact of dietary supplementation of yeast on the lactating dairy
cattle. They used a diet which was composited of silage (44.8%), raw soybean (4.1%), soybean
meal (16.5%), finely ground corn (20.7%) and citrus pulp (11.9%) supplemented with live cells
(25 × 1010 CFU) and dead yeast cells (5 × 1010 CFU). He reported that milk yield was
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significantly (P<0.05) increased (26.7 vs. 25.4 kg/d) in lactating dairy cattle fed on yeast cells.
They concluded that improved milk yield might be due to the effect of the yeast cell on the
regulation of body homeothermia in the lactating dairy cattle. In the same manner, Hossain et al.
(2012) observed the effect of YC on the productive performance of dairy cattle. The control
animals were fed on control diet consisted of concentrate mixture (3 kg) and roughage (6 kg).
The treatment group fed on control diet along with15 g/cow/day. They concluded that the live
yeast cell consists of enzymes, vitamin, amino acid, oligosaccharides and organic acids which
enhanced the milk yield by 4.1 % in lactating dairy cattle. Similarly, Yalcın et al. (2011) carried
out a study investigate the impact of YC on production performance in dairy cows. Cows were
divided into 2 groups: control and treated group. The control group cow received control diet
which contained; concentrate (10 kg/d), maize silage (26 kg/day), hay (5kg/d) and straw (2 kg/d)
throughout the study period and the test group cow were received control diet plus 50 g YC.
They reported that although both groups consumed similar (20.4 vs. 20.8) DMI however, the
milk yield significantly (P<0.05) increased (24.97 vs. 23.44 kg/d) almost 6.3 % more milk
production in lactating dairy Holstein cattle fed with yeast culture than the control group. They
reported that the YC provides growth metabolites, which stimulates fibrolytic bacteria growth
and enhances the fiber digestion in side rumen. Campanile et al. (2008) performed an experiment
to investigate the impact of YC on the milk yield of buffalo cows. They reported that the DMI
was similar (16.5 vs. 16.5 kg/day) among both groups while the milk yield significantly (P<0.01)
increased (7.9 vs. 7.4 kg/day) in the dairy cow fed on probiotic supplemented feed. They
concluded that improved lactation performance might be due to the increased organic matter
digestibility that provided high energy availability for the milk synthesis.
Kellems et al. (1990) reported that YC had the greatest positive effect on milk yield over control
cows during early lactation stage. They concluded that increased milk flow could be due to
additional minerals provided by the YC as compared to the control groups. Similarly, in another
report it was noted that DMI was not influenced by YC but the production performance showed
that the addition of SC increased the net energy of diet thus leading to increased milk flow in
dairy cow. (Robinson and Garrett, 1999). Similarly, Longuski et al. (2009) did an experiment to
evaluate the impact of YC on the production performance of multiparous Holstein cows. They
offered mix of dry ground corn and soybean meal supplemented with YC to animals. They
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reported that DMI was not affected by YC but the milk yield was significantly (P<0.05)
increased. In the same manner, Bruno et al. (2009) fed 30 g YC incorporated into the TMR.
They observed that DMI was similar between both groups, but cows fed on diet supplemented
with yeast produce more (1.2 kg/d) milk compared to the cow fed on diet without yeast addition.
Some studied reported that milk flow was increased due to increased DMI. Like, Dawson et al.
(1990) reported that YC had positive impact on the milk yield in the cow when they fed on
60:40% concentrate to forage ratio diet. They noted that milk yield was 1.4 liter/day increased
due to probiotic yeast in dairy cattle. That improvement production performance might be due to
the increased (1.2kg/d) DMI in their study. In an experiment, 2.5% more DMI was consume by
dairy cattle fed on diet supplemented with yeast culture than control group. The daily milk
production of yeast fed group was greater (4.1%) than the milk yield of the dairy cattle fed on the
control diet without any yeast addition. It was concluded that YC improves the rumen
environment, which enhanced the DMI and in consequence improved the productivity and
efficiency of dairy animals (Moallem et al., 2009). Shaver and Garrett (1997) conducted a filed
study with 11 commercial dairy farms and observed that milk production was increased in 8 of
the 11 farm. On the other hand, some researchers showed that YC has no effect on the milk
yield. For instance, (Soder and Holden, 1999; Schingoethe et al., 2004; Bagheri et al., 2009)
reported no effect of yeast supplementation in lactating animals.
In general, improve production performance in response to YC supplementation was
accompanied by greater DMI (El-Ghani, 2004; Wohlt et al., 1998; Stella et al., 2007), whereas
no response in milk yield was accompanied by no effect on DMI (Soder and Holden, 1999;
Schingoethe et al., 2004). In our study DMI and FCR were not affected by yeast addition. Our
results are in agreement with some findings (Arambel and Kent, 1990; Moallem et al., 2009;
Bagheri et al., 2009) who reported that YC did not affect the DMI and FCR. On the other hand,
improved DMI (Stella et al., 2007) and FCR (Erasmus et al., 1992; Schingoethe et al., 2004)
have been observed in dairy animals fed on YC. The variation of the DMI and milk yield
results is might be due to confounding effects of ration formulation, stage of lactation, season
and breed difference.
5.2.3 Effect of probiotic on milk composition of lactating dairy cattle
5.2.3.1 Milk Fat
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In this study, milk fat was significantly (P<0.05) higher by laboratory produced yeast
supplementation. The average fat percentage was 15.75 % and 12.45% higher in dairy cattle fed
on the LAB-P feed than in the dairy cattle fed on control and COM-P feed respectively. That
increased milk fat in the LAB yeast fed group might be due to the positive effect of the YC on
the milk yield and fiber fermentation in our study. Yeast cells contain the nutrients which
enhance the cellulolytic bacteria population (especially, Ruminococcous albus and
Ruminococccus falivifavis) that ultimately degrades the cellulose and enhances the acetic acid
production inside rumen. In agreement with our results some researcher also reported the
positive effect of probiotic on milk fat. For instance, Meller et al. (2014) reported that Jersey
cows received YC 50 g (1.94 × 1010 CFU/g) and 100 g (4.35 × 1010 CFU/g) and noted that yeast
supplemented cows consuming more (P=0.01) DMI (0.7 kg/d), which increased (P<0.05) milk
fat by 0.067 kg/d than cow fed on no YC. Similar results were reported by Moallem et al. (2009)
who noted that fat yield significantly (P<0.03) improved (7%) by supplementation of YC. They
concluded that the increased fat yield might be attributable to the improved production
performance in cow fed on YC. In the same manner, Ferraretto and Shaver (2012) reported
increased milk fat in the Holstein dairy cows fed on YC. They correlated that improved fat
contents in dairy cow fed on YC with reduced starch content and improved NDF intakes.
Longuski et al. (2009) reported that milk fat significantly (P<0.05) increased from 1.3 to 1.47 kg
per day the dairy animal fed on high moisture corn grain diet. They concluded that milk fat might
improve due to the high fermentative starch diet can be lessened with yeast culture. Similar
finding was observed by Piva et al. (1993) and Wohlt et al. (1998). They reported that positive
response to yeast culture supplementation to milk fat and might be attributable to the increased
milk yield and increased cellulose digestion in the dairy animals fed on YC. Vibhute et al. (2011)
also found significant effects of supplementing yeast in milk fat. In contracts to our finding,
some studies showed lower fat percentage due to YC supplementation. Bruno et al. (2009)
reported that the lower milk fat in dairy cattle fed on diet supplemented with YC resulted in
reduced (P<0.01) concentration of net energy for lactation (NEL) in milk. Arambel and Kent
(1990) found that there was no significant improvement in milk fat percentage after
supplementation with yeast. The variation in the above results may be related to breed and feed
difference.
5.2.3.2 Milk Protein
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The milk protein was not influenced by inclusion of YC in our study. Milk protein synthesis is
highly affected by energy intake and carbohydrate components in the diet. Similar results were
reported by Jenkins and McGuire (2006) who noted that milk protein was influenced by energy
intake in the diet. A lack of response of YC on the milk protein in present study might be due to
the fact that no energy difference was present among the diet given to the dairy cattle. A similar
response was reported by who observed that YC supplementation has no significant effect on
milk protein. Our results also coincide with the results of Moallem et al. (2009) who observed
that YC has no impact on the milk protein percentage and milk protein yield. Similar finding has
been reported by (Piva et al., 1993; Erasmus et al., 2005). They reported that milk protein was
similar among yeast fed and non-yeast fed groups and that might be due to the similar propionic
concentration in the groups. In contrast to our study, some studies reported increased milk
protein due to YC addition. Gunther (1989) reported 16.5 % more milk protein the dairy for the
cow fed on diet supplemented with YC. He concluded that the increased milk protein might be
due to increased flow of methinonine and lysine in his study. In the same manner, Shaver and
Garrett (1997) noted significantly (P<0.05) increased from milk protein (1.17 vs 1.14 kg/day) in
dairy animal fed on basal diet.
Similarly, milk protein has been significantly improved in dairy animals fed on diet
supplemented with YC (Nocek et al., 2003; White et al., 2008; Kalmus et al., 2009; Bruno et al.,
2009). That increased milk protein in the yeast fed groups might be the positive impact of
probiotic yeast on nutrient digestibility and rumen fermentation. The increased fermentation and
digestion rate are due to the increased bacterial population inside the rumen. Proteins in the feed
are quickly breakdown into peptides, amino acids and NH3 by different protozoa and fungi
(Wallace et al., 1997). Some NH3 is converted into microbial protein (MP), and some ammonia
is used by the animal in the form of urea. The higher MP metabolized in the duodenum can be
contributed to higher protein output from the udder. Second possible improvement of the milk
protein as a result of yeast supplementation lowers the blood urea nitrogen (Bruno et al., 2009).
In vitro findings argue that probiotic yeast could alter the growth and activities of protein
degrading bacteria, by limiting their attack on protein and peptides. Yeast culture has positive
effect on microbial growth and negative effect on nitrogen loss (Beev et al., 2007). That process
enhances the ammonia uptake and microbial protein production has been improved and that
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untimely increased the milk protein. Likewise, some researcher (Nocek et al., 2003, Nocek and
Kautz, 2006) found that YC has a positive effect on the milk protein. Some studies showed that
YC lower the milk protein yield (Cooke et al., 2007; Stella et al., 2007; White et al., 2008) and
milk protein (Nocek et al., 2003; Erasmus et al., 2005; Stella et al., 2007; Moallem et al., 2009;
Desnoyers et al., 2009). That non-significant effect of yeast might be due to the dilution factor of
higher milk yield (El-Ghani, 2004; Shaver and Garrett, 1997). The variation in the above results
may be related to breed difference.
5.2.3.3 Milk lactose
In the present study, milk lactose was not influenced by YC supplementation. This was
expected, as some researchers showed that milk lactose was not affected by dietary changes or
the change is very small (Sutton, 1989). Jenkins and McGuire (2006) also reported that milk
lactose was not changed by dietary changes but can be changed by serve feeding situation. In the
same manner, some researchers (Bruno et al., 2009; Stella et al., 2007; El-Din, 2015) reported
that yeast supplementation has no difference in the milk lactose percentage. In contracts of our
finding, Moallem et al. (2009) and Bruno et al. (2009) reported that milk lactose was
significantly (P<0.05) effected by YC supplementation in dairy cattle during hot seasons. They
concluded that high milk yield leads to the high milk lactose.
5.2.3.4 Milk Solid Not Fat (SNF)
Yeast supplementation had no significant effect on the SNF in the present study. Similarly, some
studies have shown that YC had no beneficial effect on milk SNF of dairy cows (Arambel and
Kent, 1990; Swartz et al., 1994; Soder and Holden, 1999; Bagheri et al., 2009). In contracts to
our results, Hossain et al. (2012) reported that YC significantly (P<0.05) increased (8.57 vs 8.28
%) the milk SNF. They concluded that improvement can be due to higher milk yield in the yeast
fed group as compared to no yeast fed group.
5.2.3.5 Milk Total Solids (TS)
In the current study, TS contents were not affected by YC supplementation in dairy cattle.
Similarly, some studies have shown that YC had no beneficial effect on milk SNF of dairy cows
(Arambel and Kent, 1990; Swartz et al., 1994; Soder and Holden, 1999; Bagheri et al., 2009).
The reason for the no change in milk TS is not clear.
5.2.4 Effect of probiotic on digestion performance of lactating dairy cattle
5.2.4.1 Dry Matter Digestibility (DMD)
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Results of the present study indicated that apparent total tract DM digestibility in dairy cattle fed
on LAB-P and COM-P was 11.7% and 5.22% better than dairy cattle fed on control feed. The
higher DMD might be due to higher CP and NDF digestibility in our study. These results are in
accordance with previous study of Miller-Webster et al. (2002), who performed an experiment to
evaluate the impact of YC on the digestibility in lactating dairy cattle and found that YC has a
tendency for increased (P=0.10) DMD as compared. The difference in DMD is due to effect of
buffer salt contamination of the effluent. Our findings also coincide with the results of
(Wiedmeier et al., 1987), who reported that DMD was significantly (P<0.05) influenced by the
yeast supplementation in dairy cattle. Similar results were reported by Mir and Mir (1994) who
conducted the experiment to determine the effects YC in steers. They added SC at the rate of
10g/d per animal in the control diet. They noted that DMD significantly (P<0.05) influenced by
the yeast supplementation. The lack of impact of YC on the DMD has been reported in many
dairy animals (Harris et al., 1992; Doreau and Jouany, 1998; Cooke et al., 2007; Tripathi and
Karim, 2010). The differences from the present study could be due to the difference in the degree
of the nutritional scheme.
5.2.4.2 Crude Protein Digestibility (CPD)
Probiotic has a significant (P<0.05) impact on the CPD in our present study. Results indicated
that CPD was 11.01% and 8.02% higher in the dairy heifers fed on feed supplemented with
LAB-P and COM-P feed respectively as compared to the dairy heifers fed on control. The
higher milk production is might be due to proteolytic activity of the S. cerevisiae QAUSC03.
This activity enhanced the protein digestion rate in our study. In COM yeast fed group, same
reason can be considered that enhanced the CPD in lactating dairy cattle. Our results are
supported by Wohlt et al. (1998) who noted a significantly (P<0.05) higher CPD (78.5, 80.8 and
79.5%) with 0, 10 or 20 g/day probiotic yeast respectively in lactating dairy cattle. They noted
that the improvement in CPD is might be due to increased DMI by cattle fed on diet
supplemented with YC during 5 to 18 weeks of lactation. In the same manner, Mir and Mir
(1994) reported that probiotic has a significant (P<0.05) effect on the CPD steers fed on mixed
the diet (75% alfalfa silage, 25% barley, 96 % corn silage and 4 % soybean meal 75 % dry rolled
barley and 25 % alfalfa hay for 2 years). Wallace et al. (1997) reported that proteins in the feed
are quickly breakdown into smaller units, peptides, amino acids and NH3 by different protozoa
and fungi. Some NH3 is converted into microbial protein (MP), and some ammonia is used by
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the animal in the form of urea. An important portion of rumen ammonia is excreted and
represents a indicated that nitrogen loss of the dietary nitrogen (N) intake (20 to 25%) (Fonty and
Chaucheyras-Durand, 2006). Amino acids and peptides issued from dietary proteins cannot be
directly slipped in the animal intestine if the diet has highly nutritious value. The same effect on
ammonia concentration was observed with daily yeast culture supplementation in adult
ruminants (Kumar et al., 1994). Beev et al. (2007) reported that in vitro findings tell that
probiotic yeast could alter the growth and activities of protein degrading bacteria, which
ultimately increased CP digestion inside rumen The mode of action of probiotic yeast can be
explained by a fight between live S. cerevisiae cells and different bacterial species for energy
utilization (Chaucheyras-Durand et al., 2005). Sniffen et al. (2004) conducted an experiment on
14 dairy cows fed on dietary supplementation of probiotic yeast and reported that the soluble
nitrogen of the diet was a key factor to drive the production parameters to the probiotics-yeast.
That improved CPD digestibility can be due to stable rumen pH and removal of oxygen from the
rumen. The stable pH enhanced microbial protein synthesis in the rumen. Further study is needed
to explain the effect of dietary supplementation of probiotic yeast on the nitrogen microbial
metabolism (Chaucheyras-Durand et al., 2010). In contrast, some studies reported that CPD was
no influenced by probiotic supplementation (Arambel and Kent, 1990; Andrighetto et al., 1993).
5.2.4.3 Neutral Detergent Fibre Digestibility (NDFD)
Our results showed that apparent total tract NDFD was significantly (P˂0.05) improved by
laboratory produced probiotic yeast. That improvement might be due to the cellulolytic activity
of the S. cerevisiae (QAUSC03), which increased cellulose degradation in our study. Moreover,
yeast also increases the cellulose degrading bacterial population that appears to be the main
mechanism by which yeast improves fibre digestion in many studies. NDFD were also
significantly (P˂0.05) affected by probiotic in others studies highlighting that improved
digestibility can be due to stable rumen pH and removal of oxygen from the rumen. That stable
rumen pH provides better environmental conditions for growth of rumen microbiota. At the same
time the anaerobic condition inside rumen also helped in better growth of fibrolytic microbial
biomass which enhanced the fibre digestion. In the agreement of our findings, Bitencourt et al.
(2011) observed that digestibility of the neutral detergent fiber was significantly (P<0.05) higher
(11.34%) in lactating dairy cows fed a diet based on corn silage and high content of pelleted
citrus pulp supplemented with 10 g yeast culture That improved nutrient digestibility might be
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due to increased cellulose degrading microbial biomass population inside rumen. In the same
manner, Marden et al. (2008) reported that NDFD was significantly affected by YC and they
suggested that YC enhanced the activity of cellulolytic bacteria in the rumen in early lactating
Holstein cows. Newbold et al. (1990) reported that Aspergillus oryzae fermentation extract and
SC stimulated fiber degradation by their action on fibrolytic bacterial species. Wiedmeier et al.
(1987) noted that supplementation of YC significantly improved the hemicellulose digestibility
and highlighted that improvement might be due to the increased cellulolytic bacterial population
after YC supplementation. On the other hand, Wiedmeier et al. (1987); Wohlt et al. (1991) and
Moallem et al. (2009) noted no significant effect of YC on the NDF digestibility.
5.2.4.4 Acid Detergent Fibre Digestibility (ADFD)
SC has a significant (P˂0.05) effect of the ADFD in the current study. Our results indicated that
dairy cattle fed on LAB produced probiotic feed have 6.9% and 1.8% higher ADFD as
compared to the dairy cattle fed on the control and commercial probiotic feed respectively.
Similar findings were given by Marden et al. (2008) who reported that YC supplementation
significantly (P<0.05) improved (32.3 vs 18.1%) total tract ADF digestibility in the early
lactating Holstein cows. They concluded that YC enhanced the activity of cellulolytic bacteria
in the rumen which untimely improve the ADFD in early lactating Holstein cows. On the other
hand, Wiedmeier et al (1987) noted that ADF apparent digestibility was not influenced by the
supplementation of YC. It has been noted that nutrient digestibility was not affected when YC
in given in high energy and corn gelatinized (Arambel and Kent, 1990; El-Ghani, 2004; Cooke
et al., 2007). The fermented YC provides growth metabolites such as; organic acids, vitamins,
and different amino acids, which stimulate the growth of lactic acid bacteria that utilized lactic
acid and digest cellulolytic material (Callaway and Martin, 1997). These growth factors may
stimulate synthesis and secretion of IGF-I from liver on absorption from the gastrointestinal
tract.
5.2.5 Influences of probiotic on the hematological and biochemical parameters of
lactating dairy cattle
5.2.5.1 Hematological parameters
In our current study, all hematological values of the lactating dairy cattle before and after the
treatment were within the normal physiological range, which is a sign of good health.
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5.2.5.2 Erythrocytic count (RBC)
YC did not show any effect on the erythrocytic count in lactating dairy cattle. In contracts to our
results, Dobicki et al. (2005) and Milewski and Sobiech (2009) reported that RBC counts
significantly increased in the growing animals. It should be noted that the growing animals have
a more capability to increase their blood profile than older animals.
5.2.5.3 Leukocytic count (WBC)
Leukocytic counts were not influenced by YC in the present study. In the same manner, Dobicki
et al. (2005) and Milewski and Sobiech (2009) reported that RBC counts significantly increased
in the growing animals. It should be noted that the growing animals have a more capability to
increased their blood profile than a the older animals.
5.2.5.4 Packed Cell Volume (PCV)
PCV levels were range from 29.65 to 31.61 % in dairy cattle fed on feed supplemented with
LAB-probiotic yeast, 29.57 to 29.88 % fed feed supplemented with COM-probiotic yeast and
30.12 to 32.32% fed on control feed without any supplementation. PCV levels were not
influenced by probiotic yeast in our study. In contrast, to our study Milewski and Sobiech (2009)
reported that yeast supplementation had associated with significantly (P ≤ 0.05) increased
erythrocytes counts in ewes during year I and II of the experiment. The difference in the PCV
may be due to the different breed, weather and diet.
5.2.5.5 Haemoglobin
During the present trial, the haemoglobin (Hb) levels were not influenced (p<0.05) by YC. These
results are in disagreement with the finding of Agazzi et al. (2014) who reported that
haemoglobin levels were affected by probiotic addition in growing claves. In the same manner,
Milewski and Sobiech (2009) noted that YC had significantly (P≤0.01) higher (101.70 vs 114.00
g/L) haemoglobin concentration in the supplemented ewes as compared to non-supplemented
ewes. In addition, Dobicki et al. (2005) reported improved Hb by 0.28-0.78 mmo|/l in heifer
supplemented with SC as compared to non-supplemented heifers.
5.2.5.6 Lymphocytes
Lymphocytes levels range from 42.45 to 42.63% in dairy cattle fed on LAB-probiotic feed and
42.15 to 51.71 fed on COM probiotic and 43.12 to 41.15 % fed on control feed. Lymphocytes
levels were not influenced by probiotic yeast in our study. In contrast to our study, Milewski and
Sobiech (2009) noted that probiotic yeast supplementation had associated with significantly
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(P≤0.05) increased erythrocytes counts in ewes during yeast I and II of the experiment. However,
lymphocytes numbers lower with age of dairy animals due to environmental conditions (Fagiolo,
2004). Ciaramella et al. (2005) reported that lymphocytes counts were decreased during summer
(41%) than winter (77%) in early lactating dairy animal. Khaliq and Rehman (2010) reported
that mean lymphocytes were 58.23% in lactating dairy buffaloes of 7-10-year-old.
5.2.5.7 Eosinophils
Eosinophils levels were range from 3.86 to 4.41 % in dairy cattle fed on feed supplemented with
LAB-probiotic yeast, 2.64 to 2.75 % fed feed supplemented with COM-probiotic yeast and 3.52
to 3.78 % fed on control feed. Probiotic yeast has a non-significantly (P>0.05) effect on the
eosinophils levels in our study. We noted that eosinophils levels were higher in dairy cattle as
compared to dairy heifers in our study. Canfiels, (1984) reported that dairy animals over 10 years
of age showed higher levels of eosinophils levels. Probiotics have a significant effect on the
eosinophils levels. Agazzi et al. (2014) reported that probiotic had associated with significantly
(P≤0.05) increased eosinophils levels in claves.
5.2.5.8 Monocytes
Monocytes levels were range from 4.48 to 4.78 % in dairy cattle fed on feed supplemented with
LAB-probiotic yeast, 4.01 to 4.34 % fed feed supplemented with COM-probiotic yeast and 3.37
to 3.67 % fed on control feed. Monocytes levels were not influenced by probiotic yeast in our
study. A slightly lymphopenia associated with monocytosis and neutrophilia was reported by
Agazzi et al. (2014) in their experiment on dairy claves. But that is not related to pathological
condition.
5.2.6 Blood biochemical parameters
5.2.6.1 Cholesterol
Results showed that cholesterol concentration in serum of lactating dairy cattle was significantly
(P<0.05) decreased by probiotic yeast. That lower cholesterol might be due to the cholesterol-
lowing effect of the locally isolated yeast (QAUSC03). A similar effect might be related to the
commercially available yeast culture. In the same manner, Nicolosi et al. (1999) studied the
effect of YC on the blood parameters of the ruminants and he notes that the cell wall of yeast is a
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rich source of β-glucans which reduce the total cholesterol of serum of the animals. Marden et al.
(2008) and Miller-Webster et al. (2002) reported that YC supplementation increase in
propionate, butyrate and valerate acid levels, which is capable of reducing the synthesis of
triglyceride and cholesterol in the liver cells and may change the lipid profile in blood of the
animals. Similarly, Kowalik et al. (2013) and Fayed (2005) reported significantly (P<0.05)
decreased cholesterol in the serum. Contrary to the findings of the present study, Galıp (2006);
Masek et al. (2008) and Campanile et al. (2008) reported no influence of YC on triglyceride and
total cholesterol concentration of serum in dairy animals.
5.2.6.2 Glucose
In our study, serum glucose was significantly (P<0.05) increased by YC supplementation. The
increased level of glucose in the yeast fed animals was might be due to increased nutrient
utilization that resulted in an increase dry matter and organic matter digestibility. Our results are
in line the recent work by Salvati et al. (2015), who conducted an experiment to determine the
effect of YC on the lactating dairy cattle. The diet was composited of silage (44.8%), raw
soybean (4.1%), soybean meal (16.5%), finely ground corn (20.7%) and citrus pulp (11.9%)
supplemented with live cells (25 × 1010 CFU) and dead yeast cells (5 × 1010 CFU). They reported
significantly (P<0.05) increased plasma glucose with yeast (62.9 vs. 57.3 mg/dl) in lactating
dairy cattle fed on yeast cells. They concluded that improved milk yield might be due to the
effect of the yeast cell on the regulation of body homeothermia in the lactating dairy cattle. A
study from USA by Lascano et al. (2012) reported similar results to the present study. They
reported an increase in YC dose tend to increase (P ≤0.10) glucose levels. They correlated that
increased level of glucose with increased nutrient utilization, which reflects the diet dependency
of the mode of action of yeast culture. Similarly, Hossain et al. (2012) reported that YC
statistically (P<0.05) increased the glucose levels in dairy animal. In another study by (Dolezal
et al., 2011), It was reported that YC significantly YC significantly (P<0.01) increased (2.278 vs.
2.237 mmol.I-1) the glucose concentration in dairy animal. Contrary to the findings of the present
study, Edens et al. (2002) reported that YC is a source of glucose tolerance factor and has
stimulated glucose utilization by cell in vitro. Glucose represents the synthesis of carbohydrates
and is in the form in which carbohydrate is supplied to cell from body fluids. The age of the
animals has exhibited highly significant variation in serum glucose level in the dairy animals.
5.2.6.3 Blood Urea Nitrogen
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Changes in the serum urea N concentration in lactating dairy cattle fed on probiotic feed and fed
on control feed were significantly (P<0.05) affected at the end of trial. YC supplementation
significantly (P<0.05) lower the serum urea concentration in current study. That lower
concentration of urea N in the dairy cattle fed on probiotic feed might be due to increased protein
digestibility in our study. It is observed that, because the N- intake is lower in cattle fed on
probiotic feed compared to control feed, hence, the concentration of urea-N was lower in the
cattle fed probiotic feed. This observation is in agreement with Dolezal et al. (2011) who
reported that YC significantly YC significantly (P<0.01) decreased (4.807 vs. 4.948 mmol.I-1)
the urea concentration in dairy animal. Contrary to the findings of the present study, Putnam et
al. (1997); Nikkhah et al. (2004) and Bagheri et al. (2009) who reported that serum urea
concentration is not significantly affected by yeast addition. It is possible that the lower ammonia
blood values in YC fed groups were due to the increase of rumen microbial activity as reported
by Williams and Orpin (1987). The concentration of urea in the blood is intimately associated
with the efficiency with which dietary protein is used, and suggests that plasma levels of ureic
ammonia are an indicator of protein degradability in the rumen and protein intake post-rumen.
5.2.7 Blood Serum Macro-Minerals
Minerals are important for normal growth and production performance of the animals. They
serve as the intermediate role in the action of hormones and enzymes at cellular level in an
integrated fashions (NRC, 2001). In our study, macro-minerals concentration in the blood serum
of cattle heifers was not affected (P>0.05) by probiotic yeast.
5.2.7.1 Calcium (Ca)
Reproductive performance of the dairy animals is directly and indirectly related to Ca
concentration (Bansal, 1978) and involved in steroid biosynthesise in ovaries (Shemesh et al.,
1984). In our study, Ca concentration was within the normal serum range of 8 to 10 mg/dl. There
was no response of YC in serum Ca over time in present study. Similar results were reported by
Piva et al. (1993), who demonstrated that silage, hay and concentrate based diet supplemented
with YC had no effect on the Ca concentration in dairy animals. In the same manner, Nursoy and
Baytok (2003), performed an experiment to see the impact of YC on blood chemistry of dairy
cow and found that probiotic yeast has no significant effect on the Ca concentration. On the other
hand, Dolezal et al, (2011) reported that YC significantly (P<0.01) increased (2.328 vs. 2.273
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mmol.I-1) the Ca concentration in dairy animal. He reported that significant difference in the
blood parameters might be due to the effect of diet and individuality of cow.
5.2.7.2 Phosphorus (P)
P is very important macro-mineral in cellular metabolism of all animals. The central compound
in energy metabolism adenosine triphosphate is phosphorylated compound. Phosphorus content
in blood plasma normally ranges from 4 to 6 mg/dl for adult animals (NRC, 2001). Phosphorus
deficiency is identified as reduced appetite and milk yield; reduce growth rate, lethargy, and
lowered immunity low productive and reproductive performance. Serum P concentration range
from 6.89 to 7.00 mg/dl in dairy cattle fed on feed supplemented with LAB probiotic yeast; 6.33
to 6.61 mg/dl fed on feed supplemented with COM probiotic feed and 6.58 to 6.81 fed in control
feed without any supplementation. All values are in normal range, which is a good sigh of health.
Dietary YC did not affect serum P in our study. The present study complements the study by
Nursoy and Baytok (2003), who found that YC has no significant effect on the P level in dairy
cow. In contract to our study Dolezal et al. (2011) reported that, dietary supplementation of
probiotic yeast significantly (P<0.01) deceased (1.978 vs. 2.062 mmol.I-1) P concentration in
blood serum in dairy animals. P absorption is affected by a number of factors in dairy cattle NRC
1989 (NRC, 2001; Horst, 1986). The primary site of P absorption is the small intestine and it is
influenced by the presence of vitamin D (NRC, 2001; Care, 1994). The total quantity of P
absorbed depends on the Ca to P ratio, type of feed, the age of animal and levels of other
minerals such as Na, K and Ca.
5.2.7.3 Potassium (K)
K concentration was not affected by YC in present study. Similar results were reported by Piva
et al. (1993) calming that silage, hay and concentrate based diet supplemented with YC had no
effect on the K concentration in dairy animals.
5.2.7.4 Sodium (Na)
Serum Na concentration was no affected by YC in our study. Similar results were reported by
Piva et al, (1993), who demonstrated that silage, hay and concentrate based diet supplemented
with YC had no effect on the Na concentration in dairy animals. On the other hand, YC
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significantly (P≤0.05) increases the concentrations of Na+ ions in ewes compared with control
group (Milewski and Sobiech, 2009).
5.3.6 Impact of probiotic on the changes in the ruminal gut microbial flora in dairy cattle
Literature dealing with the effect of dietary supplementation of probiotic yeast in the gut
microbiota of dairy cattle is scare. This study is unique in its examination of yeast culture on the
gut microbiota in order to account for better feed digestion resulting in better production
performance in lactating dairy cattle. The ruminal gut microbiota of cattle affects animal health
and productivity. It is commonly noted that diet composition has a crucial impact on the changes
in the microbial composition of the GIT and rumen. Although considerable effort has been
expended in isolation and characterization of rumen microbial species, very limited research has
focused on the characterization of the intestinal tract of the dairy animals. Despite the value of
the microbial flora of GIT of the ruminants to host health and productive performance,
knowledge about the GIT microbial diversity and function remains rudimentary. Research has
confirmed that there is a strong relationship between dietary efficiency and GIT microbial
populations and diversity (Ley et al., 2006; Turnbaugh et al., 2009). Probiotics have a curial role
in the improvement of the gut health at the beginning of the lactation period in dairy animals
(Chaucheyras-Durand and Durand, 2010). From our present study, microbial growth dynamics of
total aerobic counts, Enterococcus, Lactococcus and Bacillus counts were analyzed in cattle fecal
samples with respect to a number of days (0, 30 and 60). The Enterococcus species of GIT of
cattle has been studied by many authors (Devriese et al., 1992). Enterococcus is gram positive
cocci and facultative anaerobes and is an important group of intestinal bacteria in ruminant and
performs many important functions including working as an antibiotic resistance reservoir
(Giraffa, 2003). Enterococci undergo commensalisms and inhabit the gastro-intestinal tract of
human and animals. It seemed to be screened out from variety of food sources (meat, milk,
cheese). Enterococci have high survival rate in harsh and extreme conditions, for example, they
can resist 65% NaCl, pH, as well as high heat. They can also be isolated from variety of soils,
raw plants, surface water and animal products (Giraffa, 2003; Cocolin et al., 2007). In the
present study, we found that probiotic has an ability to reduce the Enterococcus species in GIT.
But that reduction was statistically non-significant in dairy cattle fed on probiotic and control
feed. In the same manner, Jatkauskas and Vrotniakiene, (2010) showed a decreased (1.4×108 vs.
168
4.0×103) in numbers of Enterococcus in fecal of dairy claves. Vlkova et al. (2006) determine the
Enterococcus counts in fecal samples of claves at different stages. They found that Enterococcus
species were 7.06 CFU/g at 35 days of age. On the other hand, Rada et al. (2006) found that 8.49
CFU/g Enterococcus species were present in the claves. Previously, Lactococcus were placed in
Streptococcus group N1, but now it belongs to genus Lactic acid bacteria. On the basis of its
glucose fermentation property, they are recognised as homofermentators, and are gram-positive,
catalase negative and non-motile cocci. They are usually present in singlet, pairs and in chain
form. It has been further sub-recognized as L. lactis, L. gravieae, L. piscium. These organisms
generate wide impact in dairy industry as in fermentation of dairy products, such as cheese. They
are used in the form of single-chain starter or in mixed strain culture. The most important
function of Lactococcus is being applied in rapid acidification of milk, which drops the pH and
inhibits the growth of spoilage bacteria (Schleifer et al., 1985). In our present study, we found
that Lactococcus species were not affected by YC supplementation. With respect to days (0, 30
and 60), considerably there was slight differentiation in total aerobic count in cattle fed on LAB-
probiotic feed as compared to cattle fed on the COM-probiotic feed and control feed. This
indicates that in dairy animals, days puts positive influence on total aerobic count. The only
factor that might contribute to this variation in bacterial count is the age of animals, since other
factors including diet and health conditions were similar in both cases. This may be possible
because that cattle have wide contact with other animals rather than heifers and heifers have
unbalanced state of intestinal flora too as mentioned above by (Lukas et al., 2007). According to
day-wise growth dynamics of the Bacillus counts, the microbial growth trends were analyzed in
varying arrangement of days as day 0, 30 and 60. The total Bacillus count (CFU/g) with
reference to these days in dairy cattle has exhibited the wide range and different behavior of
growth patterns using different treatments. Although, the number of the Bacillus counts were
higher in the probiotic feed fed group but that difference was not significant among the
treatments. A similar finding has been reported by Jenny et al. (1991), who reported that
Bacillus were higher in claves fed on probiotic feed compared to control feed. In the same
manner, Kawakami et al. (2010) noted that Bacillus species in GIT of dairy claves were
improved after fed on probiotic feed. As the fecal microbial population in dairy animals are
future quantified, scientists might be in position to correlate microbial populations of kingdoms
or nutrient-utilization guidelines or both with production parameters like feed intake, growth
169
performance, milk production and well beings of the animals. Results from this study indicate
that YC have no effect on the total counts of Enterococcus, Lactococcus, Bacillus and total
aerobic counts in lactating dairy cattle. Diet is the major factor which can change the microbiota
of the GIT and rumen (Bilal, 2004; Russell and Hino, 1985).
5.3.6.1 Modern methods to study the GI microbial flora of ruminants
Gastrointestinal microbiota of ruminants acts a vital role in the production, health status and
well-being of the ruminants (Dowd et al., 2008). The gut microbial populations in cow have been
identified almost 90 % of the total microbial community (Uyeno et al., 2008, 2010). On the other
hand, a certain fraction of the GI tract bacterial community has yet to be identified due to an less
knowledge of the microbial community in gut microbial ecosystem because majority of the 16S
rRNA gene sequences came from feces material are taken from unidentified species (Favier et
al., 2002). Recently, many modern methods of using genomic analysis of communities to
determine changes in microbiota have been used by many scientists. Many studies looking for to
monitor bacterial diversity in the GI tract utilize culture-independent sequencing techniques,
16S rDNA bacterial tag-encoded FLX amplicon pyrosequencing and pyrosequencing and many
more have added a new era to the determine the microbial diversity of GI tract. In a study by
Oikonomou et al, (2013), the changes in microbial population in the GI tract of young calves was
study by using metagemincs and highlights that the average population of Formicates increased
from first week to fourth week of life and then gradually deceased and a reverse pattern was
noted for Bacteroides population. He also noted that the Lactobacillus sp. reached a 14.74%
maximum during the fourth week of calf life and then progressively decreased to reach 2.15%
during the seventh week. Same results were reported in our current study. Escherichia was seen
among treatments throughout the experimental period, and highest at first week of age, averaging
approximately 21 and 20% of all bacteria for calves fed pasteurized and non-pasteurized waste
milk, respectively, and decreasing (2.6 and 1.3%) with passage of time. The microbial profile of
the dairy cattle mastitis was investigated by using the metagenomics (Oikonomou et al., 2012).
Microbial population changes associated with sub-acute ruminal acidosis of dairy cows have
been study using terminal-restriction fragment length polymorphisms of 16S rRNA gens and
PCR. Dowd et al., (2008) use the (bTEFAP), 16S rDNA bacterial tag-encoded FLX amplicon
pyrosequencing to study the fecal flora of cattle and found that the microbial diversity of GI tract
170
of cows are dominated by strict anaerobes such as Bacteroides sp., Clostridium sp.,
and Bifidobacterium sp. Facultative anaerobes; like E.coli, is also seen in his study, but the
population was lower than strict anaerobes. Enterococcus sp. is also present in the fecal samples
of the dairy cattle as a pathogenic microbial species. Uyeno et al. (2010) monitor the faecal
samples of dairy claves of Holstein breed. He analysed the samples by the RNA-based,
sequence-specific rRNA cleavage method and found that the Lactobacillus sp. were deceased
with passage of time (Uyeno et al., 2010). Even accounting for potential bias of latest molecular
methods, it is obvious that these methods are the most dominant tools recently accessible for
monitoring the gut bacterial diversity of dairy animals. Extensive use of molecular
methodologies may show the way in a new era in which such microbial study studies are no
longer limited to a handful of laboratories with abundance of funding and labor.
5.6 Impact of probiotic on economic efficiency of lactating dairy cattle.
Lactating dairy cattle health status is not only considered until there are economic impacts as
dairy sectors often want a low-cost and easy-care way of milk production (Mulligan and
Doherty, 2008). Improved production efficiency of the dairy animals leads to improved profit for
dairy farmers; moreover costs associated with diseases treatment can decrease the profit
(Kossaibati and Esslemont, 1997). Feed additives, like probiotics defined as supplements added
to the feed of ruminants to enhance productive performance, may be cost-effective and safe
methods to improve feed utilization in dairy animal. In our study, animals fed on the feed
supplemented with LAB-probiotic yeast may encourage reducing the feeding costs. Animals fed
on the LAB-probiotic feed has 5.30 and 4.50 % lesser feed cost for one kg milk production than
animals fed on control and COM-probiotic feed respectively. Results revealed that lactating
dairy cattle fed on LAB-probiotic feed are economically more efficient in term of feed cost by
producing more milk. In the present study, similar DMI was consumed by dairy cattle fed on
probiotic and non-probiotic feed. The LAB-probiotic yeast has potential benefits to lower the
feed cost per unit milk production in lactating dairy cattle. Net profit per liter milk production of
LAB yeast fed animals was increased 4.7 % and 3.9 % compared to fed on non-probiotic and
COM yeast probiotic feed. Literature dealing with impact of yeast supplementation the net
profits of dairy cattle is scare. In a study, (Shaver and Garrett, 1997) observed that dietary
supplementation of yeast has improved milk yield as 0.23 kg per cow. It is well studied that
171
diseases can lower the profit of dairy farmers (Kelton et al., 1998). Clinical mastitis can
decrease profit by 735 dollar per lactating cattle (Hultgren and Svensson, 2009). In our study,
probiotic yeast did not show any negative effect on the health status of the lactating dairy cattle.
The economic advantage of probiotic depends on the price of yeast culture, and the lactation
stage, age, diet, breed and geographical location of the animal (Yalcın et al., 2011; Vibhute et
al., 2011; Marrero et al., 2015). Therefore, to achieve an economical effective of probiotic on the
production efficiency of dairy animal of local breeds, it is required to choose an adequate
preparation because not all probiotic yeast strains can stimulate the nutrient digestion in dairy
animal (Pinos-Rodriguez et al., 2008).
172
Conclusions/ Future prospects
In Pakistan, livestock sector is mostly based on traditional lines which lead to unbalance
nutrition resulting in poor growth and productive performance in dairy animals. Now a days,
increasing the performance of dairy animals through the use of probiotic has become a useful
and economical method to overcome the effects of malnutrition. The use of probiotic yeast
enhances the nutrient utilization, which may lead to improved performance and increase
immunity in dairy heifers. Literature reveals that suitability and profitability of the probiotic
yeast depends on many factors including animal breed, age and probiotic strains. From this line
of research we look forward and develop a new probiotic yeast strain for our local breed,
which provide a positive effect on milk yield and fat contents in lactating dairy cattle and
moreover it is cost effective. At the same time, the dietary supplementation of probiotic yeast
could also have an enhancing effect on the microbial balance of the GIT that leads to
improved growth, health and production performance in dairy animal.
In the situation of a high feed cost in Pakistan, probiotic yeast gives a useful nutritional strategy
which allows increasing diet digestibility and consequently enhances the performance parameters
of the dairy animals in cost effective manner. Future research needed to see the impact of the
yeast cells in the GIT of the dairy animals. Future research will also need to address the behavior
of the yeast cells in the digestive environment. We look forward to the development of the new
probiotic strains, which will hopefully mean that the rumen microbiologist in Pakistan
instead of following the nutritious in an exploratory mood as has been the role for so long,
will instead lead advances in ruminant nutrition in year to come.
Recommendations
The recommendations are outline as follows;
173
1. Isolation of new indigenous bacterial and yeast strains.
2. Study the probiotic characterization and genetic potential of the probiotic strains
3. Complete nutritional profile of the probiotic strains for preparation of probiotic feed
4. Application of probiotic strains for more milk and meat production of local breed
animals.
5. Amino acid profile of the milk of dairy animals fed on the probiotic feed.
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Publications Related to PhD Thesis
A. Full length paper
Shakira Ghazanfar, Muhammad Iqbal Anjum, Atiya Azim and Iftikhar Ahmed. 2015. Effects of
Dietary Supplementation of Yeast Culture (Saccharomyces cerevisiae) on Growth Performance,
Blood Parameters, Nutrient Digestibility and Fecal Flora of Dairy Heifers” The Journal of
Animal and Plant Science 25(1): 53-59.
B. Presentations in International Conferences (Oral/Posters)
1. Shakira Ghazanfar, M. I. Anjum, F. Hassan, I. Ahmed, M. Qbtiya, M. Afzal and M. Imran.
Effects of dietary supplementation of Saccharomyces cerevisiae on production performance and
health status dairy cattle. 10th Biennial International Conferences of Pakistan Society for
Microbiology Exploring Microbes for Future Endeavors, 25-28, 2015. Lhr. Pakistan
1. Shakira Ghazanfar, M. I. Anjum, F. Hassan, I. Ahmed, M. Qbtiya, M. Afzal and M. Imran.
Dietary Supplementation of Saccharomyces Cerevisiae on Production and Health Status in
Lactating Dairy Cattle. 3rd International workshop on Dairy Science Park. 16-18, 1W-DSP-2015.
University of Agriculture, Peshawar. Pakistan.
2. Shakira Ghazanfar, Qubtia, M. Hassan, F. Muhammad, A. Ahmed, I. Muhammad, I. Isolation and characterization of nutritionally important lactic acid bacteria from cattle gut. 67th Annual Meeting of the European Federation of Animal Science, 29 August-2 September
2016. The Waterfront, Belfast, Northern Ireland (Accepted)
3. Shakira Ghazanfar, Qubtia, M. Hassan, F. Muhammad, A. Ahmed, I. Imran, M. Dietary
supplementation of Saccharomyces cerevisiae on production and health status in dairy cattle.
67th Annual Meeting of the European Federation of Animal Science, 29 August-2 September
2016. The Waterfront, Belfast, Northern Ireland (Accepted)
C. Article Published in Newspaper
http://www.nation.com.pk/E-Paper/islamabad/2013-02-10/page-11