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Article

Improving wheat grain yield genomic prediction accuracy using historical data.

G3 (Bethesda, Md.) - 17 Apr 2025

Vitale Paolo, Montesinos-López Osval, Gerard Guillermo, Velu Govindan, Tadesse Zerihun, Montesinos-López Abelardo, Dreisigacker Susanne, Pacheco Angela, Toledo Fernando, Saint Pierre Carolina, Pérez-Rodríguez Paulino, Gardner Keith, Crespo-Herrera Leonardo, Crossa José

Abstract excerpt

Genomic selection is an essential tool to improve genetic gain in wheat breeding. This study aimed to enhance prediction accuracy for grain yield across various selection environments using CIMMYT's (International Maize and Wheat Improvement Center) historical dataset. Ten years of grain yield data from 6 selection environments were analyzed, with the populations of 5 years (2018-2023) as the validation...

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Identifiers

PMID: 40056458
DOI: 10.1093/g3journal/jkaf038
PMCID: PMC12005153

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