Genotype Performance Estimation in Targeted Production Environments by Using Sparse Genomic Prediction

In plant breeding, Multi-Environment Trials (METs) evaluate candidate genotypes across various conditions, which is financially costly due to extensive field testing. Sparse testing addresses this challenge by evaluating some genotypes in selected environments, allowing for a broader range of enviro...

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Autori principali:	Osval A. Montesinos-López, Paolo Vitale, Guillermo Gerard, Leonardo Crespo-Herrera, Carolina Saint Pierre, Abelardo Montesinos-López, José Crossa
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-10-01
Serie:	Plants
Soggetti:	genomic prediction incomplete block designs allocation sparse testing random allocation selection across environments
Accesso online:	https://www.mdpi.com/2223-7747/13/21/3059
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