01957naa a2200229 a 450000100080000000500110000800800410001902400510006010000220011124501330013326000090026652011870027565000150146265300230147765300280150065300190152865300240154770000180157170000170158970000190160677301020162515961152024-02-16       2007    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1017/S17517311076850362DOI1 aMELO, C. M. R. de  aGenetic parameters for test day milk yields of first lactation Holstein cows by random regression models.h[electronic resource]  c2007  aCovariance components for test day milk yield using 263 390 first lactation records of 32 448 Holstein cows were estimated using random regression animal models by restricted maximum likelihood. Three functions were used to adjust the lactation curve: the five-parameter logarithmic Ali and Schaeffer function (AS), the three-parameter exponential Wilmink function in its standard form (W) and in a modified form (W*), by reducing the range of covariate, and the combination of Legendre polynomial and W (LEG+W). Heterogeneous residual variance (RV) for different classes (4 and 29) of days in milk was considered in adjusting the functions. Estimates of RV were quite similar, rating from 4.15 to 5.29 kg2. Heritability estimates for AS (0.29 to 0.42), LEG+W (0.28 to 0.42) and W* (0.33 to 0.40) were similar, but heritability estimates used W (0.25 to 0.65) were highest than those estimated by the other functions, particularly at the end of lactation. Genetic correlations between milk yield on consecutive test days were close to unity, but decreased as the interval between test days increased. The AS function with homogeneous RV model had the best fit among those evaluated.  amilk yield  aGenetic parameters  arandom regression model  atest day model  avariance components1 aPACKER, I. U.1 aCOSTA, C. N.1 aMACHADO, P. F.  tAnimal. The International Journal of Animal Biosciences, Cambridgegv. 1, n. 3, p. 325-334, 2007.