Titlebook: Genomic Prediction of Complex Traits; Methods and Protocol Nourollah Ahmadi,Jér?me Bartholomé Book 2022 The Editor(s) (if applicable) and T

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https://doi.org/10.1007/978-3-642-00499-5 opposed to animal breeding, plant breeding includes extensive multienvironment and multiyear field trial data. Hence, genomic-enabled prediction models should include genotype × environment (G?×?E) interaction, which most of the time increases the prediction performance when the response of lines a

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Robert A. Norman,Robyn Menendeze investigating the performance of omics-enhanced predictions, and highlight potential pitfalls when applying these methods in breeding. We emphasize that the statistical methods available for genomic data can be transferred to the general omics case. However, when using a framework of omic relation

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Michael T. Mazur M.D.,Robert J. Kurman M.D.has the causative polymorphism been determined for genes affecting economic traits in dairy cattle. Most current methods for genomic evaluation are based on the “two-step” method. Genetic evaluations are computed by the individual animal model, and functions of the evaluations of progeny-tested sire

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Michael T. Mazur MD,Robert J. Kurman MDrait under GS, the increase in accuracy obtained by genomic estimated breeding values instead of classical pedigree-based estimation of breeding values is very important in aquaculture species ranging from 15% to 89% for growth traits, and from 0% to 567% for disease resistance. Although the impleme