scholarly journals Association of GHR Polymorphisms with Milk Production in Buffaloes

Animals ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1203
Author(s):  
Shymaa M. El-Komy ◽  
Ayman A. Saleh ◽  
Tamer M. Abdel-Hamid ◽  
Mohammed A. El-Magd
Keyword(s):  
Growth Hormone ◽  
Milk Yield ◽  
Milk Fat ◽  
Growth Hormone Receptor ◽  
Transmembrane Domain ◽  
Prolactin Receptor ◽  
Protein Yield ◽  
Silent Mutation ◽  
Milk Traits ◽  
Functional Candidate Gene

For its role in the mediation of growth hormone (GH) galactopoietic effect, growth hormone receptor (GHR) was considered a functional candidate gene for milk performance in cattle. However, its genetic variation and potential effect have not been investigated in Egyptian buffaloes. This study aimed to screen GHR for polymorphisms and study their associations with milk traits in Egyptian buffaloes. Polymerase chain reaction, single-strand conformation polymorphism, and sequencing were used to identify mutations in 4 exons (E4–E6 and E8) of the GHR gene in 400 Egyptian buffaloes. No polymorphisms were found in E4, while 2 SNPs (c.380G>A/p.Arg127Lys and c.387C>T/p.Gly129) in E5, one silent mutation (c.435A>G/p.Pro145) in E6, and another missense mutation (c.836T>A/p.Phe279Tyr) in E8 were detected. The c.380G>A SNP in the extracellular domain was associated with milk yield, fat %, protein %, and 305-day milk, fat and protein yield, with higher levels in animals carrying the mutant A allele. The c.836T>A SNP in the transmembrane domain was associated with milk yield, fat %, protein %, and 305-day milk, fat and protein yield, with higher milk yield and lower fat %, protein %, fat and protein yield in the mutant A allele-animals. Interestingly, animals with the two mutant AA alleles produced higher milk yield, fat %, protein %, fat and protein yield, accompanied with upregulated expressions of GHR, GH, insulin-like growth factor 1 (IGF1), prolactin (PRL), prolactin receptor (PRLR), β-casein (encoded by CSN2 gene), and diacylglycerol acyltransferase-1 (DGAT1) genes and proteins in milk somatic cells. Therefore, selection of Egyptian buffaloes with mutant AA haplotypes for the novel c.380G>A SNP and the well-known c.836T>A SNP could improve milk yield and quality in buffaloes.

scholarly journals The Role of the Bovine Growth Hormone Receptor and Prolactin Receptor Genes in Milk, Fat and Protein Production in Finnish Ayrshire Dairy Cattle

Genetics ◽  
2006 ◽  
Vol 173 (4) ◽  
pp. 2151-2164 ◽  
Author(s):  
Sirja Viitala ◽  
Joanna Szyda ◽  
Sarah Blott ◽  
Nina Schulman ◽  
Martin Lidauer ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Dairy Cattle ◽  
Hormone Receptor ◽  
Milk Fat ◽  
Protein Production ◽  
Growth Hormone Receptor ◽  
Prolactin Receptor ◽  
Bovine Growth Hormone

Molecular Dissection of a Quantitative Trait Locus: A Phenylalanine-to-Tyrosine Substitution in the Transmembrane Domain of the Bovine Growth Hormone Receptor Is Associated With a Major Effect on Milk Yield and Composition

Genetics ◽  
2003 ◽  
Vol 163 (1) ◽  
pp. 253-266 ◽  
Author(s):  
Sarah Blott ◽  
Jong-Joo Kim ◽  
Sirja Moisio ◽  
Anne Schmidt-Küntzel ◽  
Anne Cornet ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Milk Yield ◽  
Hormone Receptor ◽  
Growth Hormone Receptor ◽  
Transmembrane Domain ◽  
Receptor Gene ◽  
Major Effect ◽  
Chromosome 20 ◽  
Growth Hormone Receptor Gene ◽  
Trait Locus

Abstract We herein report on our efforts to improve the mapping resolution of a QTL with major effect on milk yield and composition that was previously mapped to bovine chromosome 20. By using a denser chromosome 20 marker map and by exploiting linkage disequilibrium using two distinct approaches, we provide strong evidence that a chromosome segment including the gene coding for the growth hormone receptor accounts for at least part of the chromosome 20 QTL effect. By sequencing individuals with known QTL genotype, we identify an F to Y substitution in the transmembrane domain of the growth hormone receptor gene that is associated with a strong effect on milk yield and composition in the general population.

scholarly journals Einfluss systematischer Umwelteffekte auf die Milchleistungsmerkmale bei Bunten Deutschen Edelziegen

2004 ◽  
Vol 47 (3) ◽  
pp. 275-285
Author(s):  
D. Bömkes ◽  
H. Hamann ◽  
O. Distl
Keyword(s):  
Somatic Cell ◽  
Protein Content ◽  
Milk Yield ◽  
Significant Influence ◽  
Milk Fat ◽  
Fixed Effects ◽  
Fat Content ◽  
Protein Yield ◽  
Production Traits ◽  
Milk Traits

Abstract. Title of the paper: Influence of systematic environmental effects on milk performance traits in German Improved Fawn The objectives of this study were to analyse the influence of fixed effects on milk traits of German Improved Fawn. The analysis was based on 27,778 test day records of 1,848 German Improved Fawn with 3,574 lactation records. The milk records were sampled between 1988 and 2002 from 229 flocks in Lower Saxony, Saxony and Baden-Wuerttemberg. The average daily milk yield was 2.87 ± 1.20 kg with a fat content of 3.08 ± 0.54% and a protein content of 3.38 ± 0.95%. Somatic cell count (SCC) was transformed into somatic cell score (SCS). Mean SCS was 5.49 ± 1.93. The average lactation length was 234.1 ± 76.4 days. The analysis of variance showed a significant influence of lactation number, stage of lactation, year of lambing and month of lambing on all analysed milk production traits. Milk yield was highest in the fourth lactation number and fat as well as protein content in the 7th to 13th lactation number. Litter size had a significant influence on milk and fat yield and on fat and protein content. The region significantly influenced protein yield and fat and protein content of German Improved Fawn but had no effect on milk and protein yield and SCS. Animals from Baden-Wuerttemberg reached the highest milk protein content but the lowest milk fat content.

Growth Hormone Receptor (GHR) gene and its applicationsin livestock: A review

2016 ◽  
Vol 37 (3) ◽  
Author(s):  
Dibyendu Chakraborty ◽  
Anamika . ◽  
D. Kumar ◽  
Peer Mohd. Azhar ◽  
S. Gurdeep Singh ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Milk Yield ◽  
Hormone Receptor ◽  
Growth Hormone Receptor ◽  
Transmembrane Domain ◽  
Receptor Gene ◽  
Major Effect ◽  
Target Cells ◽  
Economic Traits ◽  
Ghr Gene

The Growth Hormone Receptor (GHR) gene provides instructions for making a protein called the growth hormone receptor. The GHR mediates biological actions of growth hormone on target cells by transducing the growth hormone (GH) signal across the cell membrane and inducing transcription of many genes, including insulin-like growth factor-1 (IGF1). The gene coding for bovine GHR gene consists of nine exons. In exon 8 of the bovine GHR gene, T/A nucleotide variation results in to change in tyrosine from phenylalanine in the transmembrane domain of the GHR protein, has been reported to be associated with a major effect on milk yield in cows. GHR (growth hormone receptor) gene has been shown to harbor a causal mutation of a QTL influencing milk yield and composition GHR gene is a polymorphic gene and the polymorphisms are related to different economic traits of different species. The GHR gene influences physical traits and helps to selection of animals. The lengths of the variable TG-repeats in the P1 promoter of the bovine GHR gene are associated with growth rates in young Angus cattle. Due to various functions of GHR are viewed as promising candidate markers for selection purposes in cattle. Thus GHR gene could be a candidate gene for application in marker assisted selection (MAS).

scholarly journals Variability and heritability of milk traits of Holstein-Frisian bull dams and their progeny

Genetika ◽  
2018 ◽  
Vol 50 (1) ◽  
pp. 243-251
Author(s):  
Marina Lazarevic ◽  
Dragan Stanojevic ◽  
Vladan Bogdanovic ◽  
Vlada Pantelic ◽  
Nevena Maksimovic ◽  
...  
Keyword(s):  
Protein Content ◽  
Milk Yield ◽  
Milk Fat ◽  
Fat Content ◽  
Protein Yield ◽  
Milk Traits ◽  
Holstein Friesian ◽  
Fat Yield ◽  
Calving Season ◽  
The Impact

The research was performed on Holstein-Friesian and Black and White bull dams reared on five farms of Agricultural Corporation of Belgrade - PKB. The study included 575 lactations of cows selected as bull dams and their progeny calved in the period from 2007 - 2014 and represent progeny of 24 bulls. The following dairy traits were analysed in a standard lactation (305 days): milk yield (kg) - MY, milk fat content (%) - % MF, milk fat yield (kg) - MFY, protein content (%) - % PC and protein yield (kg) - PY. Holstein-Friesian bull dams and their progeny, in standard lactation, produced on average 9239.84 ? 1607.64 kg of milk, with a milk fat content of 3.44 ? 0.20 and protein content of 3.21 ? 0.12. The impact of bull - sire, year of birth, lactation order, farm, year and calving season was present at different levels of statistical significance on yield traits, while the genetic group had no influence on any of the milk traits. Bull - sire, year of birth, lactation order and calving season did not influence the variability of milk fat and protein content. Heritability of observed milk traits was medium to low. The content of milk fat and protein had the lowest values of heritability, 0.014, and 0.024, respectively. The heritability of milk yield, milk fat yield and protein yield was 0.293, 0.319 and 0.273, respectively.

scholarly journals Subdomain 2, Not the Transmembrane Domain, Determines the Dimerization Partner of Growth Hormone Receptor and Prolactin Receptor

Endocrinology ◽  
2017 ◽  
Vol 158 (10) ◽  
pp. 3235-3248 ◽  
Author(s):  
Ying Liu ◽  
Jing Jiang ◽  
Bradford Lepik ◽  
Yue Zhang ◽  
Kurt R Zinn ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Hormone Receptor ◽  
Growth Hormone Receptor ◽  
Transmembrane Domain ◽  
Prolactin Receptor

scholarly journals The effect of the farm size on milk traits of cows

2011 ◽  
Vol 27 (3) ◽  
pp. 951-958 ◽  
Author(s):  
D. Kucevic ◽  
S. Trivunovic ◽  
M. Radinovic ◽  
M. Plavsic ◽  
Z. Skalicki ◽  
...  
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Dairy Farm ◽  
Farm Size ◽  
Small Farms ◽  
Milk Traits ◽  
Holstein Friesian ◽  
Milk Performance ◽  
Fat Yield ◽  
Large Farms

Objective of this study was to analyze the effect of the dairy farm on milk traits of cows in Vojvodina. The research was carried out on small farms with 10 to 20 cows, medium farms with 20 to 50 cows, and large farms with over 50 dairy cows. The study included registered animals of Simmental (SM) and Holstein-Friesian breed (HF; including Red Holstein) in the first lactation for traits of milk yield and yield and content of milk fat. Total of 1323 first lactations were analyzed. The average milk yield (both breeds) in the first lactation of 305 days was 6295 kg of milk with 234,3 kg of milk fat and average milk fat content of 3,74%. Milk performance of cows varied significantly (CV=22,9% and SD=1447,8), as well as milk fat yield (CV=21,6% and SD=50,8). Large farms produced in average 6534 kg of milk, medium farms 6347kg and small farms 4717kg. Size of the farm exhibited significantly high effect on all observed traits, and the tendency was that farms with higher number of animals realize also higher average of production. Farm management and various breeding-zootechnical conditions present on farms had significant effect on milk performance of cows.

SIRE BY HERD INTERACTIONS FOR MILK YIELD AND COMPOSITION TRAITS

1977 ◽  
Vol 57 (3) ◽  
pp. 383-388 ◽  
Author(s):  
A. K. W. TONG ◽  
B. W. KENNEDY ◽  
J. E. MOXLEY
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Dairy Herd ◽  
Protein Yield ◽  
Reduced Model ◽  
Parameter Estimates ◽  
Full Model ◽  
Reduced Models

A total of 13,561 Holstein 305-day lactation records from 779 Quebec and Maritime herds enrolled on the Dairy Herd Analysis Service were used to evaluate the importance of sire × herd interactions for milk yield and composition traits. Sire × herd interaction accounted for 4.1, 1.1, 0.3, 2.6 and 5.6% of the total variation of milk, fat and protein yield and fat and protein percent, respectively. Genetic parameter estimates obtained under two different models, a full model that accounted for sire × herd interaction and a reduced model that ignored it, were examined. Heritabilities of milk, fat and protein yield and fat and protein percent were, respectively: for the full model, 0.36, 0.47, 0.45, 0.59 and 0.31 and for the reduced model, 0.49, 0.50, 0.46, 0.66 and 0.46. Phenotypic correlations between the traits were not appreciably different when estimated under the full and reduced models. Genetic correlations between the yield traits were also similar when estimated under the full and reduced models, but genetic correlations between yield and percentage traits were more stongly positive, or less negative, when sire × herd interaction was accounted for. The genetic correlation between fat and protein percent was larger under the reduced model than under the full model.

scholarly journals Phenotypic Characterization of Milk Yield and Quality Traits in a Large Population of Water Buffaloes

Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 327 ◽  
Author(s):  
Angela Costa ◽  
Riccardo Negrini ◽  
Massimo De Marchi ◽  
Giuseppe Campanile ◽  
Gianluca Neglia
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Large Scale ◽  
Mixed Model ◽  
Large Population ◽  
Solid Content ◽  
Current Status ◽  
Phenotypic Characterization ◽  
Italian Population ◽  
Milk Traits

The buffalo milk industry has economic and social relevance in Italy, as linked to the manufacture of traditional dairy products. To provide an overview of the current status of buffaloes’ performances on a large scale, almost 1 million milk test-day records from 72,294 buffaloes were available to investigate milk yield, energy corrected milk, fat, protein, and lactose content, and somatic cell score (SCS). Phenotypic correlations between milk traits were calculated and analysis of variance was carried out through a mixed model approach including fixed effect of parity, stage of lactation, sampling time, month of calving, and all their interactions and random effects of buffalo, herd-test-date, and residual. Third-parity buffaloes were the most productive in terms of milk yield, while the lowest solid content was detected in sixth parity buffaloes. A considerable gap between primiparous and multiparous buffaloes was observed for milk yield, especially in early- and mid-lactation. Overall, SCS progressively increased with parity and showed a negative correlation with milk yield in both primiparous (−0.12) and multiparous (−0.14) buffaloes. Results suggested that, at the industrial level, milk of primiparous buffaloes may be preferred for transformation purposes, since it was characterized by greater solid content and lower SCS. Results of this study provide a picture of the Italian population of buffaloes under systematic performance records and might be beneficial to both dairy industry and breeding organizations.

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