Article
A comparison of methods for training population optimization in genomic selection.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 9 Mar 2023
Fernández-González Javier, Akdemir Deniz, Isidro Y Sánchez Julio
Abstract excerpt
KEY MESSAGE: Maximizing CDmean and Avg_GRM_self were the best criteria for training set optimization. A training set size of 50-55% (targeted) or 65-85% (untargeted) is needed to obtain 95% of the accuracy. With the advent of genomic selection (GS) as a widespread breeding tool, mechanisms to efficiently design an optimal training set for GS models became more relevant, since they allow maximizing the accuracy...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.