AUTHOR=Widener Sarah , Graef George , Lipka Alexander E. , Jarquin Diego TITLE=An Assessment of the Factors Influencing the Prediction Accuracy of Genomic Prediction Models Across Multiple Environments JOURNAL=Frontiers in Genetics VOLUME=12 YEAR=2021 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.689319 DOI=10.3389/fgene.2021.689319 ISSN=1664-8021 ABSTRACT=
The effects of climate change create formidable challenges for breeders striving to produce sufficient food quantities in rapidly changing environments. It is therefore critical to investigate the ability of multi-environment genomic prediction (GP) models to predict genomic estimated breeding values (GEBVs) in extreme environments. Exploration of the impact of training set composition on the accuracy of such GEBVs is also essential. Accordingly, we examined the influence of the number of training environments and the use of environmental covariates (ECs) in GS models on four subsets of