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Article

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction.

G3 (Bethesda, Md.) - 7 Jun 2017

Bandeira E Sousa Massaine, Cuevas Jaime, de Oliveira Couto Evellyn Giselly, Pérez-Rodríguez Paulino, Jarquín Diego, Fritsche-Neto Roberto, Burgueño Juan, Crossa Jose

Abstract excerpt

Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main genotypic effect model (SM); (2) multi-environment, main genotypic effects model (MM); (3) multi-environment, single variance G×E deviation model (MDs); and (4)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Genome, Plant

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Share to Selection, Genetic

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Source

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Identifiers

PMID: 28455415
DOI: 10.1534/g3.117.042341
PMCID: PMC5473775

Provenance

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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