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Article

Improved genomic prediction performance with ensembles of diverse models.

G3 (Bethesda, Md.) - 8 May 2025

Tomura Shunichiro, Wilkinson Melanie J, Cooper Mark, Powell Owen

Abstract excerpt

The improvement of selection accuracy of genomic prediction is a key factor in accelerating genetic gain for crop breeding. Traditionally, efforts have focused on developing superior individual genomic prediction models. However, this approach has limitations due to the absence of a consistently "best" individual genomic prediction model, as suggested by the No Free Lunch Theorem. The No Free Lunch Theorem states...

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Crops, Agricultural
Genome, Plant
Genomics
Models, Genetic
Phenotype
Plant Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Quantitative Trait Loci

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PMID: 40037571
DOI: 10.1093/g3journal/jkaf048
PMCID: PMC12060242

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