- Volume 29 Issue 12
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Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
- Naserkheil, Masoumeh (Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran) ;
- Miraie-Ashtiani, Seyed Reza (Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran) ;
- Nejati-Javaremi, Ardeshir (Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran) ;
- Son, Jihyun (Department of Animal Life and Resources, Hankyong National University) ;
- Lee, Deukhwan (Department of Animal Life and Resources, Hankyong National University)
- Received : 2015.09.11
- Accepted : 2016.02.29
- Published : 2016.12.01
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 (
Holstein Dairy Cattle;Milk Protein Yields;Random Regression Model;Test-day Records
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