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Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat.

The plant genome - 1 Jul 2017

Jarquín Diego, Lemes da Silva Cristiano, Gaynor R Chris, Poland Jesse, Fritz Allan, Howard Reka, Battenfield Sarah, Crossa Jose

Abstract excerpt

Wheat ( L.) breeding programs test experimental lines in multiple locations over multiple years to get an accurate assessment of grain yield and yield stability. Selections in early generations of the breeding pipeline are based on information from only one or few locations and thus materials are advanced with little knowledge of the genotype × environment interaction (G × E) effects. Later, large trials are...

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PMID: 28724062
DOI: 10.3835/plantgenome2016.12.0130

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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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