HIGHLIGHTS
- who: Genet. Sel. Evol. and colleagues from the Animal Genetics and Breeding Unit**, University of New England have published the research work: Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects, in the Journal: (JOURNAL)
SUMMARY
Random regression (RR) models have become a preferred choice in the analysis of longitudinal data in animal breeding applications. Heterogeneous variances have been modelled through VF, e_g_[6,33,34], and this has been applied to measurement error variances in RR analyses. For applications where variances show some periodicity, e_g due to seasonal influences . . .
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