Random regression models using different functions to model milk flow in dairy cows

M.M.M. Laureano, A.B. Bignardi, L. El Faro, V.L. Cardoso, H. Tonhati, L.G. Albuquerque
2014 Genetics and Molecular Research  
We analyzed 75,555 test-day milk flow records from 2175 primiparous Holstein cows that calved between 1997 and 2005. Milk flow was obtained by dividing the mean milk yield (kg) of the 3 daily milking by the total milking time (min) and was expressed as kg/min. Milk flow was grouped into 43 weekly classes. The analyses were performed using a single-trait Random Regression Models that included direct additive genetic, permanent environmental, and residual random effects. In addition, the
more » ... ary group and linear and quadratic effects of cow age at calving were included as fixed effects. Fourth-order orthogonal Legendre polynomial of days in milk was used to model the mean trend in milk flow. The additive genetic and permanent environmental covariance functions were estimated using random regression Legendre polynomials and B-spline functions of days in milk. The model using a third-order Legendre polynomial for additive genetic effects and a sixth-order polynomial for permanent environmental effects, which contained 7 residual classes, proved to be the most adequate to describe variations in milk flow, and was also the 7529 ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 13 (3): 7528-7541 (2014) Random regression models and milk flow in dairy cows most parsimonious. The heritability in milk flow estimated by the most parsimonious model was of moderate to high magnitude.
doi:10.4238/2014.september.12.20 pmid:25222253 fatcat:kpgvqow2nnchnl63hihrvg3q7u