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Article

Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model.

G3 (Bethesda, Md.) - 6 Feb 2015

Lopez-Cruz Marco, Crossa Jose, Bonnett David, Dreisigacker Susanne, Poland Jesse, Jannink Jean-Luc, Singh Ravi P, Autrique Enrique, de los Campos Gustavo

Abstract excerpt

Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype × environment interaction(G×E). Several authors have proposed extensions of the single-environment GS model that accommodate G×E using either covariance functions or environmental covariates. In this study, we model G×E using a...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 25660166
DOI: 10.1534/g3.114.016097
PMCID: PMC4390573

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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