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

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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Bibliographic Details
Main Authors: Osval A. Montesinos-López, Paolo Vitale, Guillermo Gerard, Leonardo Crespo-Herrera, Carolina Saint Pierre, Abelardo Montesinos-López, José Crossa
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Plants
Subjects:
genomic prediction
incomplete block designs allocation
sparse testing
random allocation
selection across environments
Online Access:https://www.mdpi.com/2223-7747/13/21/3059
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