Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data
G3-GENES GENOMES GENETICS, 12(2).
author keywords: genotype-by-environment interactions; multienvironment; genomic prediction; environmental covariates; dominance genetic variance; shared data resource
MeSH headings : Gene-Environment Interaction; Genome, Plant; Genomics; Genotype; Models, Genetic; Phenotype; Plant Breeding; Zea mays / genetics
TL;DR:
Using genomic, yield trial, and environmental data on 1,918 unique hybrids evaluated in 59 environments from the maize Genomes to Fields project, it is determined that a set of 10,153 SNP dominance coefficients and a 5-day temporal window size for summarizing environmental variables were optimal for genomic prediction using only genetic and environmental main effects.
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