scholarly journals Determination of genetic effects of ATF3 and CDKN1A genes on milk yield and compositions in Chinese Holstein population

BMC Genetics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Bo Han ◽  
Weijun Liang ◽  
Lin Liu ◽  
Yanhua Li ◽  
Dongxiao Sun
Keyword(s):  
Milk Yield ◽  
Genetic Effects ◽  
Chinese Holstein ◽  
Holstein Population

scholarly journals Comparison of different orders of Legendre polynomials in random regression model for estimation of genetic parameters and breeding values of milk yield in the Chinese Holstein population

2019 ◽  
Author(s):  
Jianbin Li ◽  
Hongding Gao ◽  
Per Madsen ◽  
Wenhao Liu ◽  
Peng Bao ◽  
...  
Keyword(s):  
Milk Yield ◽  
Legendre Polynomials ◽  
Random Regression ◽  
Residual Variance ◽  
Full Data ◽  
Data Set ◽  
Breeding Values ◽  
Chinese Holstein ◽  
Regression Test ◽  
Holstein Population

AbstractRandom regression test-day model has become the most commonly adopted model for routine genetic evaluations for different dairy populations, which allows accurately accounting for genetic and environmental effects at different periods during lactation. The objective of this study was to explore appropriate random regression test-day model for genetic evaluation of milk yield in Chinese Holstein population. Data included 419,567 test-day records from 54,417 cows in the first lactation. Variance components and breeding values were estimated using random regression test-day model with different order (first order to fifth order) of Legendre polynomials, and accounted for homogeneous or heterogeneous residual variance across the lactation. The goodness of fit of the models was evaluated by total residual variance (TRV) and − 2logL. Further, the predictive ability of the models was assessed by Spearman’s rank correlation between estimated breeding values for 305d milk yield (EBV305) from the full data set and reduced data set in which the records from the last calving year were masked. The results showed that random regression models using third order Legendre polynomials (LP3) with heterogeneous residual variance achieved the lower TRV and − 2logL value and the highest correlation for EBV305 between full data and reduced data. Heritability estimated by this model was 0.250 for 305d milk yield and ranged from 0.163 to 0.304 for test-day milk yield. We suggest random regression model with Legendre polynomial of order 3 and accounting for heterogeneous residual variances could be an appropriate model to be used for genetic evaluation of milk yield for Chinese Holstein population.

Determination of heat stress zone for daily milk yield using carryover heat effect model in Murrah buffaloes

2021 ◽  
Vol 53 (5) ◽  
Author(s):  
Ramandeep Kaur Dhaliwal ◽  
Puneet Malhotra ◽  
Neeraj Kashyap ◽  
Shakti Kant Dash ◽  
Lakhvir Kaur Dhaliwal ◽  
...  
Keyword(s):  
Heat Stress ◽  
Milk Yield ◽  
Heat Effect ◽  
Murrah Buffaloes ◽  
Effect Model ◽  
Stress Zone ◽  
Daily Milk Yield ◽  
Daily Milk

Genetic effects of ABCG2 polymorphism on milk production traits in the Chinese Holstein cattle

2013 ◽  
Vol 41 (3) ◽  
pp. 333-338 ◽  
Author(s):  
M.A. Alim ◽  
Yan Xie ◽  
Yipeng Fan ◽  
Xiaoping Wu ◽  
Dongxiao Sun ◽  
...  
Keyword(s):  
Milk Production ◽  
Genetic Effects ◽  
Holstein Cattle ◽  
Production Traits ◽  
Milk Production Traits ◽  
Chinese Holstein ◽  
Chinese Holstein Cattle

scholarly journals Estimation of Genetic Effects on Milk Yield and Constituent Traits in Crossbred Dairy Cattle

1982 ◽  
Vol 65 (5) ◽  
pp. 848-856 ◽  
Author(s):  
E.J. Rincon ◽  
E.C. Schermerhorn ◽  
R.E. Mc Dowell ◽  
B.T. Mc Daniel
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Genetic Effects ◽  
Crossbred Dairy Cattle

scholarly journals Genetic and non genetic effects for lactation curve traits in Holstein-Friesian cows

2012 ◽  
Vol 55 (5) ◽  
pp. 450-457 ◽  
Author(s):  
I. Boujenane ◽  
B. Hilal
Keyword(s):  
Milk Yield ◽  
Genetic Correlations ◽  
Genetic Effects ◽  
Peak Time ◽  
Holstein Friesian ◽  
Lactation Curve ◽  
Genetic And Phenotypic Correlations ◽  
Selection For ◽  
Calving Season ◽  
Friesian Cows

Abstract. The objective of this study was to determine the genetic and non genetic effects on lactation curve traits determined by the incomplete gamma function of Wood (1967) for Holstein-Friesian cows in Morocco. Data analysed included 49262 monthly records of the test-day milk yield from 4888 lactations of 3932 cows at their 1st, 2nd or 3rd parity collected during 1990 and 1999 in 232 herds enrolled in the official milk recording. In general, lactation curve traits (A, B, C, peak time [Tmax], peak milk yield [Ymax], persistency and 305 day milk yield [MY305]) were affected by herd, parity, age at calving, season of calving and year of calving. Heritability estimates were low and varied from 0.01 for parameter A to 0.10 for Ymax. Genetic and phenotypic correlations among traits varied from −0.79 to 1.00 and from −0.80 to 0.96, respectively. Genetic correlations between MY305 and parameter C were negative, but those between MY305 and all the other lactation curve traits were positive. It was concluded that selection for high peak milk yield and persistency will result in higher 305 day milk yield.

scholarly journals Changes in the concentrations of thyroid hormones in dairy sheep

2021 ◽  
Vol 17 (1) ◽  
pp. 7-12
Author(s):  
Zuzanna Flis ◽  
Edyta Molik
Keyword(s):  
Thyroid Hormones ◽  
Milk Yield ◽  
Dairy Sheep ◽  
Upward Trend ◽  
The Individual

<b>The aim of the research was to determine the changes in the concentrations of thyroid hormones (T3 and T4) in sheep during lactation. The experiment was conducted on 20 Polish Longwool ewes. Milking was begun after the lambs were weaned, on the 57th day of lactation. Sheep were milked twice a day (8:00 a.m. and 6:00 p.m.) until dry. The milk yield of each ewe was checked every 10 days. For determination of thyroid hormones, blood was collected every 28 days beginning at sunset, every 20 minutes for 6 hours. The average milk yield of the sheep was determined based on the individual yields on test days. The highest (P ≤ 0,01) milk yield was obtained in the first month of milking, i.e. April (0,48 ± 0,018 l). Milk yield decreased as lactation progressed. The concentration of hormone T3 was significantly higher (P ≤ 0,01) in the first and third months of lactation (0,72 ± 0,02 ng/ml in April and 0,74 ± 0,02 ng/ml in June) than in September (0,55 ± 0,01 ng/ml). The T3 concentration decreased in successive months of lactation. In contrast, the concentration of the T4 hormone increased with the progression of lactation. Significantly (P ≤ 0,01) the lowest concentration of T4 was found in the first and second month of milking (51,7 ± 9,8 ng/ml, 48,8 ± 7,4 ng/ml). The highest T4 concentration in lactating sheep was noted in August (60,55 ± 10 ng/ml). The research showed that the secretion of T3 decreases with milk yield, while secretion of T4 shows an upward trend as lactation progresses. Therefore thyroid hormones modulate secretion of milk in sheep. </b>

scholarly journals Genetic Analyses Confirm SNPs in HSPA8 and ERBB2 are Associated with Milk Protein Concentration in Chinese Holstein Cattle

Genes ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 104 ◽  
Author(s):  
Cong Li ◽  
Miao Wang ◽  
Wentao Cai ◽  
Shuli Liu ◽  
Chenghao Zhou ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Protein Concentration ◽  
Milk Protein ◽  
Genetic Effects ◽  
Production Traits ◽  
Rna Seq ◽  
Milk Production Traits ◽  
Chinese Holstein ◽  
Tyrosine Kinase 2

Heat shock 70 kDa protein 8 (HSPA8) and erb-b2 receptor tyrosine kinase 2 (ERBB2) were the promising candidates for milk protein concentration in dairy cattle revealed through previous RNA sequencing (RNA-Seq) study. The objective of this post-RNA-Seq study was to confirm genetic effects of HSPA8 and ERBB2 on milk protein concentration in a large Chinese Holstein population and to evaluate the genetic effects of both genes on other milk production traits. There were 2 singlenucleotide polymorphisms (SNPs) identified for HSPA8 and 11 SNPs for ERBB2 by sequencing 17 unrelated Chinese Holstein sires. The SNP-rs136632043 in HSPA8 had significant associations with all five milk production traits (p = 0.0086 to p < 0.0001), whereas SNP-rs132976221 was remarkably associated with three yield traits (p < 0.0001). Nine (ss1996900615, rs109017161, rs109122971, ss1996900614, rs110133654, rs109941438, rs110552983, rs133031530, and rs109763505) of 11 SNPs in ERBB2 were significantly associated with milk protein percentage (p = 0.0177 to p < 0.0001). A 12 Kb haplotype block was formed in ERBB2 and haplotype associations revealed similar effects on milk protein traits. Our findings confirmed the significant genetic effects of HSPA8 and ERBB2 on milk protein concentration and other milk production traits and SNP phenotypic variances above 1% may serve as genetic markers in dairy cattle breeding programs.

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