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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Hlavní autoři:	Osval A. Montesinos-López, Paolo Vitale, Guillermo Gerard, Leonardo Crespo-Herrera, Carolina Saint Pierre, Abelardo Montesinos-López, José Crossa
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-10-01
Edice:	Plants
Témata:	genomic prediction incomplete block designs allocation sparse testing random allocation selection across environments
On-line přístup:	https://www.mdpi.com/2223-7747/13/21/3059
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