The role of diglyceride acyltransferase (DGAT) genes polymorphisms on milk production in dairy goats

2021 ◽  
Vol 1 (1) ◽  
pp. 15-18
Author(s):  
Muhammad Safdar ◽  
◽  
Mehmet Ozaslan ◽  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Phylogenetic Analyses ◽  
Potential Candidate ◽  
Fat Percentage ◽  
Dairy Goats ◽  
Potential Candidate Gene ◽  
Dgat1 Gene ◽  
Dairy Animals

Milk quantity, fat, and protein contents are important traits in dairy animals, particu-larly in dairy goats. However, little is known about the genetics and genomics in dairy goats that influence these traits. The diacylglycerol O-acyltransferase (DGAT) genes are considered the most important genes in dairy goats for milk quantity and fat con-tents. The DGAT genes have two isoforms as DGAT1 and DGAT2, that have similar re-actions but no sequence homology in-between. The DGAT1 gene in chromosome 14 is a functional and potential candidate gene for fat content in goats, while DGAT2 is associated with milk yield and fat percentage in goats. The phylogenetic analyses re-vealed similar topologies and evolutionary partitioning of DGAT family proteins into two major clades: DGAT1 and DGAT2. Moreover, DGAT1 proteins were found to play a significant role in the milk yield in dairy goats. In this review, the role of polymor-phisms in DGAT family genes on milk production in dairy goats is discussed

DGAT1 polymorphism in Riverine buffalo, Swamp buffalo and crossbred buffalo

2018 ◽  
Vol 85 (4) ◽  
pp. 412-415 ◽  
Author(s):  
Jun Li ◽  
Shenhe Liu ◽  
Zipeng Li ◽  
Shujun Zhang ◽  
Guohua Hua ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Buffalo Milk ◽  
Production Performance ◽  
Production Traits ◽  
Coding Region ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Dgat1 Gene ◽  
Swamp Buffalo

This Research Communication describes the polymorphisms in the coding region of DGAT1 gene in Riverine buffalo, Swamp buffalo and crossbred buffalo, and associations between polymorphisms and milk production performance in Riverine buffalo. Two polymorphisms of DGAT1were identified, located in exon 13 and exon 17, respectively. The distribution of the genotypes of the two SNP loci in different buffalo population varied, especially the polymorphism located in exon 13 which was not found in the Swamp buffalo. Moreover, SNP located in exon 17 was a nonsynonymous switch resulting in the animo acid sequence changed from an arginine (Arg) to a histidine (His) at position 484. Both SNPs were in Hardy–Weinberg equilibrium, and the polymorphism of g.8330T>C in the exon 13 was significantly associated with peak milk yield, total milk yield and protein percentage. The C variant was associated with an increase in milk yield and peak yield but less in protein percentage compared with the T variant. The polymorphisms of g.9046T>C in exon 17 were significantly associated with fat percentage, in that the buffaloes with TT genotype had a significantly higher fat percentage than those with CC genotype. These findings reveal the difference in the genetic evolution of the DGAT1 between Riverine buffalo and Swamp buffalo, and provide evidence that the DGAT1 gene has potential effects for Riverine buffalo milk production traits, which can be used as a candidate gene for marker-assisted selection in buffalo breeding.

Starch sources and concentration in diet of dairy goats affected ruminal pH and fermentation, and inflammatory response

2019 ◽  
Vol 59 (9) ◽  
pp. 1640
Author(s):  
Yizhao Shen ◽  
Fangfang Zhao ◽  
Lihuai Yu ◽  
Wenzhu Yang ◽  
Mengzhi Wang ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Milk Production ◽  
Milk Yield ◽  
Inflammatory Responses ◽  
Pearson Correlation ◽  
Dairy Goats ◽  
Blood Concentrations ◽  
Ruminal Ph ◽  
Amyloid A ◽  
Increased Risk

Corn and wheat grains are two starch sources with considerably different ruminal digestion rates, which may lead to differing lipopolysaccharide (LPS) release in both rumen and hindgut affecting animal production. The objectives of this study were to (1) investigate the effects of different ruminal and faecal LPS concentrations induced by starch source (corn vs wheat) and starch concentrations (low vs high) on DMI, ruminal pH, ruminal fermentation patterns, milk production, and inflammatory responses; and (2) evaluate the possible translocation site of LPS in dairy goats. Eight lactating dairy goats with ruminal cannulas were used in a replicated 4 × 4 Latin square design with 2 × 2 factorial arrangement of treatments. Each experimental period consisted of 24 days long including 21 days for adaption and 3 days for data and sample collection. The four treatment diets were: corn and wheat grain combined with low (LS) and high grain starch (HS). Goats were fed equal amounts of a total mixed ration twice daily at 0700 hours and 1900 hours. Replacing corn with wheat in goat diet led to longer (P < 0.02) duration of ruminal pH <5.6, higher ruminal LPS (P < 0.05), but lower faecal LPS concentration. However, no differences between two grains in ruminal pH (mean, minimum and maximum), volatile fatty acids (VFA) and lactic acid concentration were observed. Goats fed HS diets had lower (P < 0.01) ruminal pH and higher (P < 0.01) ruminal concentrations of VFA and lactic acid, as well as higher (P < 0.01) ruminal and faecal LPS concentrations. Starch source did not affect DMI, milk yield and milk components whereas feeding HS versus LS diet had higher milk yield, lactose yield and improved milk efficiency (P < 0.05). Feeding wheat- versus corn-based diet showed only greater (P < 0.05) concentration of toll-like receptor-4, whereas feeding the HS versus LS diet consistently increased blood concentrations of amyloid A, haptoglobin, LPS binding protein, and LPS (P < 0.05). Analysis of Pearson correlation coefficients illustrated that the ruminal LPS concentration is more important than faecal LPS in inflammatory responses. In conclusion, replacing corn with wheat in lactating goat diet had negative impact on ruminal pH but little effects on fermentation characteristics and milk production. Increasing the dietary concentration of starch decreased ruminal pH status and thus increased risk of acidosis, whereas, feeding HS versus LS diets resulted in an improvement in milk yield, milk efficiency, and immunity response. Moreover, rumen acidosis induced by wheat based diet was accompanied with more severe inflammatory responses.

scholarly journals Milk production in Saanen goats treated with repeated low doses of intermediate-release insulin during early lactation

2019 ◽  
Vol 49 (3) ◽  
Author(s):  
Erika Bezerra de Menezes ◽  
Maria Gorete Flores Salles ◽  
Cleidson Manoel Gomes da Silva ◽  
César Carneiro Linhares Fernandes ◽  
Giovanna Galeati ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Milk Fat ◽  
Metabolic Response ◽  
Subcutaneous Administration ◽  
Repeated Administration ◽  
Control Group ◽  
Early Lactation ◽  
Dairy Goats ◽  
Intermediate Acting Insulin

ABSTRACT: The effect of insulin administration on the productive responses of Saanen goats during early lactation was investigated. Ten of 20 adult females were subjected to subcutaneous administration of intermediate-acting insulin (0.14UI/kg body weight) at 2, 9, and 14 days postpartum. Milk yield was measured twice daily for 13 weeks and milk samples were collected to measure protein and fat contents. Plasma levels of progesterone, insulin, non-esterifies fatty acids, glucose and other metabolites were measured. Results showed a significantly increased effect of insulin treatment on the content of milk fat and protein; moreover, milk production in the first and second postpartum weeks were higher than control group. The peak of lactation in the insulin group was achieved one week earlier in comparison to the control group. In addition, the milk production rate showed lower persistency (milk yield 13 week/milk yield at peak) in the same group. During the first four weeks of postpartum, treated animals showed greater weight loss and higher non-esterified fatty acid concentration, whereas no effect was observed on the concentration of progesterone and other metabolites. The above results indicated that repeated administration of insulin in dairy goats during early lactation increase yield and qualitative components of milk, but has substantial consequences on animal productive rate and metabolic response.

Using quantile regression for fitting lactation curve in dairy cows

2019 ◽  
Vol 86 (1) ◽  
pp. 19-24
Author(s):  
Hossein Naeemipour Younesi ◽  
Mohammad Mahdi Shariati ◽  
Saeed Zerehdaran ◽  
Mehdi Jabbari Nooghabi ◽  
Peter Løvendahl
Keyword(s):  
Quantile Regression ◽  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Information Criterion ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Breeding Center

AbstractThe main objective of this study was to compare the performance of different ‘nonlinear quantile regression’ models evaluated at theτth quantile (0·25, 0·50, and 0·75) of milk production traits and somatic cell score (SCS) in Iranian Holstein dairy cows. Data were collected by the Animal Breeding Center of Iran from 1991 to 2011, comprising 101 051 monthly milk production traits and SCS records of 13 977 cows in 183 herds. Incomplete gamma (Wood), exponential (Wilmink), Dijkstra and polynomial (Ali & Schaeffer) functions were implemented in the quantile regression. Residual mean square, Akaike information criterion and log-likelihood from different models and quantiles indicated that in the same quantile, the best models were Wilmink for milk yield, Dijkstra for fat percentage and Ali & Schaeffer for protein percentage. Over all models the best model fit occurred at quantile 0·50 for milk yield, fat and protein percentage, whereas, for SCS the 0·25th quantile was best. The best model to describe SCS was Dijkstra at quantiles 0·25 and 0·50, and Ali & Schaeffer at quantile 0·75. Wood function had the worst performance amongst all traits. Quantile regression is specifically appropriate for SCS which has a mixed multimodal distribution.

scholarly journals The Effects of Substituting Dietary Soybean Meal with Maize Grain on Milk Production in Dairy Goats

Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 299
Author(s):  
Luca Rapetti ◽  
Gianluca Galassi ◽  
Andrea Rota Graziosi ◽  
Gianni Matteo Crovetto ◽  
Stefania Colombini
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Soybean Meal ◽  
Environmental Sustainability ◽  
High Protein Diet ◽  
Protein Diet ◽  
Nitrogen Excretion ◽  
Dairy Goats ◽  
Lactating Goats ◽  
Maize Grain

In view of better environmental sustainability, livestock diets must not exceed protein requirements, as often happens with lactating goats reared in semi-intensive systems. The aim of this experiment was to verify in real-breeding conditions the influence of two diets with different protein contents (% crude protein (CP) on dry matter (DM)): 16.0 (high-protein diet; HP) vs 12.2 (low-protein diet; LP) on milk production in dairy goats. The diets differed only in the replacement—in the LP diet—of 250 g soybean meal with 250 g maize grain meal. Twenty-three Alpine goats were divided into two groups and used in a cross-over feeding trial for 2 months. Animals were weighed at the beginning of each month of the trial, and feed intake and milk yield and composition were recorded weekly. HP and LP did not differ statistically for milk yield and composition (3.32 vs 3.42 kg milk/d, 3.21% vs 3.27% fat, 3.31% vs 3.27% protein for HP and LP, respectively), but the HP diet determined a higher milk urea content (51.2 vs 36.6 mg/dL, p < 0.001) and a worse efficiency of nitrogen utilization (28.0% vs 37.2%). In conclusion, the LP diet resulted in a reduction of urinary nitrogen excretion by 28% and of the feed cost by about 10%.

scholarly journals To the question of evaluating the efficiency of linear breeding in Simmental cattle breed different origin

2020 ◽  
Vol 197 (6) ◽  
pp. 49-57
Author(s):  
L. Ignat'eva ◽  
A. Konte ◽  
A. Sermyagin
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Russian Federation ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Fat Percentage ◽  
Foreign Origin ◽  
Simmental Cattle ◽  
The Impact

Abstract. The purpose of the research – to study the impact of related foreign pedigree resources on the Russian population of Simmental cattle. Research Methods. Studies carried out on cows of Simmental breed of different linear origin and genotypes in five regions of Russian Federation: Voronezh, Oryol, Kursk, Belgorod regions and Altayskiy krai, the total number was 35147 cows. EBV estimates were calculated through RENUMF 90, REMLF 90 and BLUPF 90 programs. Evaluation of the components of the variants of genetic and paratypical nature was carried out using the method restricted maximum likelihood – REML. Results. It is established that the largest share for animals foreign origin are 60.7 %, including German-Austrian bloodlines 46.6 % and Holsteins – 14.1 %. 39.3 % of animals are the Russian origin, which 13.5 % representatives of German-Austrian bloodlines, 17.8 % are Holsteins and 8.0 % are from domestic (Russian) bloodlines. In the general population of Simmental breed, the best productivity was shown by cows of German-Austrian bloodlines at the level of 5351 kg of milk with fat percentage 4.00 % and protein percentage 3.19 %. Representatives of German-Austrian bloodlines origin for milk yield showed the estimated breeding value (EBV) for Simmental bulls in the common population by +9.2 kg and fat percentage by +0.012 %. The negative EBV values were obtained for Russian bloodlines by –22.8 kg, and Holstein bloodlines took an intermediate position among all lines (+2.3 kg). The first calving cows, which were in the herd at the time of research, the best milk production traits were found in individuals of foreign origin, both for Holstein (6096 kg of milk with a fat content of 3.96 % and protein 3.23 %), and German-Austrian bloodlines (milk yield 5763 kg, fat 4.04 % and protein 3.19 %), with high estimates of breeding value for milk yield +33.3 kg and +15.2 kg, respectively. Low values of milk productivity among all evaluated animals were observed for animals of Russian bloodlines by 4469 kg milk 3.87 % fat and 3.20 % protein in milk. The first calving cows of Russian origin in foreign bloodlines origin exceeded their peers in Russian Simmental bloodlines in milk production by +608 kg of milk and +0.15 % fat (signed to German-Austrian bloodlines) and +924 kg and +0.06 % fat (signed to Holstein bloodlines). The average values of EBV in these lines, although had low values by –5.6 kg milk for Holstein and by +2.7 kg milk for German-Austrian bloodlines, but was significantly higher than for Russian lines by –12.7 kg milk. Scientific novelty. For the first time, scientific research aimed at improving the system of prediction to breeding abilities of bulls on dairy productivity of daughters based on optimization structure of equations of the mixed model (BLUP, the best linear unbiased prediction) has been carried out for the population Simmental cattle of Russian Federation.

scholarly journals Influence of lactation number and parity on milk yield of Saanen goat’s breed

2021 ◽  
Vol 73 (4) ◽  
pp. 923-928
Author(s):  
R. Ralević ◽  
T. Papović ◽  
I. Pihler ◽  
D. Kučević ◽  
M. Ivković ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Significant Influence ◽  
Positive Impact ◽  
Production Capacity ◽  
Dairy Goats

ABSTRACT The aim of this research was to determine the influence of lactation number and parity on milk yield of Saanen goat’s breed. It has been concluded that milk yield was higher for goats that had given birth to twins and three kids than for goats that had given birth to a single kid (P<0.05). The longevity has a great positive impact on production, given that goats in the fifth lactation produced more milk than goats in first or second lactation (P<0.05), while goats in the sixth lactation still produced more milk than goats in first lactation (P<0.05). During the period from 2014- 2019, the research was conducted on a farm of multiparous Saanen goats in Vojvodina (northern part of Serbia). In the observed period, the farm had between 350 and 400 goats per milking, and the research included a total of 1,628 concluded lactations, within which the first lactations were the most 484, then the second 381. According to the number of lactations, goats were grouped into classes from one to seven and from one to three for parity. By comparing each individual lactation, it was determined that in first lactation goats produced significantly lower milk than goats in the rest lactations(P<0.05), except the seventh. Research has shown that lactation number has a significant influence on milk yield (P=0.00). Increasing the fertility of goats significantly affects the production capacity of dairy goats, since does with a larger number of kids in the litter had a significantly higher milk production (P<0.05). Due to the larger number of kids in the litter, milk production also increases. Likewise, it is assumed that the increase in milk yield of goats with two and three kids is a consequence of a larger placenta, i.e. stronger lactogenic activity during pregnancy.

scholarly journals Associations between polymorphisms of SLC22A7, NGFR, ARNTL and PPP2R2B genes and Milk production traits in Chinese Holstein

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ruike Jia ◽  
Yihan Fu ◽  
Lingna Xu ◽  
Houcheng Li ◽  
Yanhua Li ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Association Analysis ◽  
Milk Yield ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Fat Yield ◽  
Percentage Protein

Abstract Background Our preliminary work confirmed that, SLC22A7 (solute carrier family 22 member 7), NGFR (nerve growth factor receptor), ARNTL (aryl hydrocarbon receptor nuclear translocator like) and PPP2R2B (protein phosphatase 2 regulatory subunit Bβ) genes were differentially expressed in dairy cows during different stages of lactation, and involved in the lipid metabolism through insulin, PI3K-Akt, MAPK, AMPK, mTOR, and PPAR signaling pathways, so we considered these four genes as the candidates affecting milk production traits. In this study, we detected polymorphisms of the four genes and verified their genetic effects on milk yield and composition traits in a Chinese Holstein cow population. Results By resequencing the whole coding region and part of the flanking region of SLC22A7, NGFR, ARNTL and PPP2R2B, we totally found 20 SNPs, of which five were located in SLC22A7, eight in NGFR, three in ARNTL, and four in PPP2R2B. Using Haploview4.2, we found three haplotype blocks including five SNPs in SLC22A7, eight in NGFR and three in ARNTL. Single-SNP association analysis showed that 19 out of 20 SNPs were significantly associated with at least one of milk yield, fat yield, fat percentage, protein yield or protein percentage in the first and second lactations (P < 0.05). Haplotype-based association analysis showed that the three haplotypes were significantly associated with at least one of milk yield, fat yield, fat percentage, protein yield or protein percentage (P < 0.05). Further, we used SOPMA software to predict a SNP, 19:g.37095131C > T in NGFR, changed the structure of NGFR protein. In addition, we used Jaspar software to found that four SNPs, 19:g.37113872C > G,19:g.37113157C > T, and 19:g.37112276C > T in NGFR and 15:g.39320936A > G in ARNTL, could change the transcription factor binding sites and might affect the expression of the corresponding genes. These five SNPs might be the potential functional mutations for milk production traits in dairy cattle. Conclusions In summary, we proved that SLC22A7, NGFR, ARNTL and PPP2R2B have significant genetic effects on milk production traits. The valuable SNPs can be used as candidate genetic markers for genomic selection of dairy cattle, and the effects of these SNPs on other traits need to be further verified.

scholarly journals Factors affecting goat milk yield and its composition

2011 ◽  
Vol 49 (No. 11) ◽  
pp. 465-473 ◽  
Author(s):  
G. Ciappesoni ◽  
JPřibyl ◽  
M. Milerski ◽  
V. Mareš
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Statistical Models ◽  
Goat Milk ◽  
Dairy Goats ◽  
Factors Affecting ◽  
Stage Of Lactation ◽  
Daily Milk Production ◽  
Model Equations ◽  
Daily Milk

The aim of the paper was to prove the accuracy of various statistical models of vari&shy;ance analysis for estimation of systematic factors that influence milk yield and fat and protein content in dairy goats. Data on daily milk production recorded by methods AT, AC or A4 for the population of Czech White Shorthaired Goats over 1992&ndash;2002 was used for calculations. A total of 78 736 test day from 6 234 goats were analysed. Average daily milk production was 3.09 kg with 3.72% of fat and 2.84% of protein. Variability of examined traits was significantly influenced by effects of herd-year or herd-test day, litter size, parity, season of kidding, stage of lactation and the combined effect parity-year-season of kidding. The variants of model equations in which complex effects of herd-year were replaced by effects of herd-test day showed higher values of reliability for the three traits analysed. &nbsp;

Effects of increasing supplementation levels of rice bran on milk production and fatty acid composition of milk in Saanen dairy goats

2013 ◽  
Vol 53 (5) ◽  
pp. 413 ◽  
Author(s):  
J. K. Park ◽  
E. G. Kwon ◽  
C.-H. Kim
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Rice Bran ◽  
Control Diet ◽  
Latin Square ◽  
Goat Milk ◽  
Dairy Goats ◽  
Significant Difference ◽  
Metabolisable Energy ◽  
Forage Intake

In this study, the effects of four dietary supplementation levels of rice bran (RB) on milk yield and composition were examined in Saanen dairy goats. Four goats (initial bodyweight, 55.0 ± 7.1 kg) and four 21-day periods were used in a 4 × 4 Latin-square design. The diets contained 0, 5, 10, and 20% DM of RB, but were otherwise formulated to be 10.7 MJ metabolisable energy/kg and 18.8% crude protein/kg DM. Goats consumed the greatest amount of DM feed concentrate when fed the 5% RB diet (P < 0.01); however, DM forage intake was not significantly different between diets. Total DM intake of the 5% RB diet was significantly higher than that of the control diet (P < 0.05). Milk yield was the lowest from goats fed the 20% RB (P < 0.01). The protein concentration of milk was significantly lower in goats fed the control and 5% RB diets than in those fed the 10 and 20% RB diets (P < 0.01). However, milk protein production was not significantly different between diets. The concentration of fat in milk increased as the supplementation level of RB increased, although fat production did not differ between diets. The addition of RB increased the concentration of long-chain fatty acids (C16 and C18) in goat milk. No significant difference was found in milk lactose concentration between diets. Overall, the results indicate that RB supplements of up to 10% have no adverse effects on DM intake and milk production in dairy goats.

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