Identification of sources of heterogeneous residual and genetic variances in milk yield data from the Spanish Holstein-Friesian population and impacton genetic evaluation
Ma. Ibanez et al., Identification of sources of heterogeneous residual and genetic variances in milk yield data from the Spanish Holstein-Friesian population and impacton genetic evaluation, LIVEST PROD, 59(1), 1999, pp. 33-49
Data from the Spanish Holstein-Friesian milk recording system were used to
investigate sources of heterogeneity of genetic and residual variation and
to evaluate the impact in the genetic evaluation. Factors such as period of
time, herd level of production, geographical region, herd size and year of
calving were found to be associated with heterogeneity of genetic and resi
dual variation. This stratified the 7664 herd-year of calving into 395 stra
ta defined by combinations of levels of these factors. In order to improve
the accuracy of estimates of strata dispersion a mixed model structure in t
he log-linear model was considered which included the single factors acting
additively as fixed effect plus the random third order interaction for res
idual variance and the single factor acting additively as fixed effect for
sire variance. The average value for heritabilities estimated was 0.26, wit
h maximum and minimum values being 0.52 and 0.11, respectively. The 25 and
75 percentiles were 0.20 and 0.32, respectively. Genetic evaluations were c
ompared using three alternative models differed in the dispersion structure
: Homogeneous genetic and residual variance, homogeneous genetic and residu
al variance after data standardization and the heterogeneous variance model
with the current genetic and residual variance estimated. Assuming a homog
eneous variance model produced an overdispersion with respect to the expect
ed dispersion of both yield deviations and predicted genetic values in larg
e variance environments and the contrary was observed in low variance envir
onments. Precorrection by phenotypic standardization seems to correct for t
he phenotypic adequately but dispersion of predicted genetic values of anim
al in environments with large heritability was underestimated with respect
to the heterogeneous variance model. (C) 1999 Elsevier Science B.V. All rig
hts reserved.