Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle

The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components...

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Veröffentlicht in:Asian-Australasian journal of animal sciences. - 1998. - 29(2016), 12 vom: 05. Dez., Seite 1682-1687
1. Verfasser: Naserkheil, Masoumeh (VerfasserIn)
Weitere Verfasser: Miraie-Ashtiani, Seyed Reza, Nejati-Javaremi, Ardeshir, Son, Jihyun, Lee, Deukhwan
Format: Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Asian-Australasian journal of animal sciences
Schlagworte:Journal Article Holstein Dairy Cattle Milk Protein Yields Random Regression Model Test-day Records
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520 |a The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components, heritability, and genetic correlations for milk protein yields were obtained using a random regression test-day model. Milking times, herd, age of recording, year, and month of recording were included as fixed effects in the model. Additive genetic and permanent environmental random effects for the lactation curve were taken into account by applying orthogonal Legendre polynomials of the fourth order in the model. The lowest and highest additive genetic variances were estimated at the beginning and end of lactation, respectively. Permanent environmental variance was higher at both extremes. Residual variance was lowest at the middle of the lactation and contrarily, heritability increased during this period. Maximum heritability was found during the 12th lactation stage (0.213±0.007). Genetic, permanent, and phenotypic correlations among test-days decreased as the interval between consecutive test-days increased. A relatively large data set was used in this study; therefore, the estimated (co)variance components for random regression coefficients could be used for national genetic evaluation of dairy cattle in Iran 
650 4 |a Journal Article 
650 4 |a Holstein Dairy Cattle 
650 4 |a Milk Protein Yields 
650 4 |a Random Regression Model 
650 4 |a Test-day Records 
700 1 |a Miraie-Ashtiani, Seyed Reza  |e verfasserin  |4 aut 
700 1 |a Nejati-Javaremi, Ardeshir  |e verfasserin  |4 aut 
700 1 |a Son, Jihyun  |e verfasserin  |4 aut 
700 1 |a Lee, Deukhwan  |e verfasserin  |4 aut 
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