A Look at Computations for Multivariate Single-Step Genomic Evaluations Fitting the 'Hybrid Model'

Abstract

Computational requirements for single step genomic evaluation fitting a hybrid between breeding value and marker effects models are examined for a simulated example. It is demonstrated that such a model can accommodate large numbers of genotyped animals - readily allowing exploitation of large in-core memory and parallel processing capabilities available with modern hardware - and that a principal component parameterization for multivariate analyses of numerous traits is advantageous.