Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data

Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data

AbstractLinking high-throughput environmental data (enviromics) to genomic prediction (GP) is a cost-effective strategy for increasing selection intensity under genotype-by-environment interactions (G × E). This study developed a data-driven approach based on Environment–Phenotype As...

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Bibliographic Details
Main Authors: Germano Costa-Neto, Leonardo Crespo-Herrera, Nick Fradgley, Keith Gardner, Alison R Bentley, Susanne Dreisigacker, Roberto Fritsche-Neto, Osval A Montesinos-López, Jose Crossa
Format: Article
Language:English
Published: Oxford University Press 2022-12-01
Series:G3: Genes, Genomes, Genetics
Online Access:https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac313

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https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac313

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