Total numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best […]

Data consisting of 263.390 test day records (PDC) of 32.448 first lactation Holstein cows were used to compare three random regression test-day models (RR), a repeatability test-day model (RM) and a 305-d lactation model (P305) for breeding value (EBV) prediction of milk yield. One RR model used the logarithmic function of Ali & Schaeffer (AS) and the other two models used the exponential Wilmink function in its standard form (W) and a modified form (W*). The required covariance parameters were […]

A total of 87,045 milk yield records of 11,023 first-parity Holstein cows was utilized, obtained from 1997 to 2001 from different herds of 10 Minas Gerais locations. Six types of persistency measures in lactation were evaluated using milk yield breeding values, obtained by means of Random Regression Model – RRM. The Wilmink function was used to describe the random and fixed effects by RRM. Heritability estimates and genetic correlations for various persistency measures in lactation were dependent on the definition […]