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Random Regression for Modeling Semen Fertility in HF Purebred and Crossbred Bulls Using a Bayesian Framework
2022
Data on insemination records of Holstein Friesian (HF) purebred (n=45,497) and crossbred (n=58,497) collected from the BAIF Research Foundation were utilized. The conception rate was modeled as a binary trait, using linear repeatability models. Random regression models (RRM) were used to obtain the trajectory of variance components across age of the bulls. Legendre Polynomials up to order of fit of 4 were used for the random effects of additive genetic and permanent environmental effects.
doi:10.26077/d5ef-81d0
fatcat:dcx4xssy3valdoudlsfsulrxom