Article
A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.
Genes - 23 Jul 2024
Montesinos-López Osval A, Pulido-Carrillo Cristian Daniel, Montesinos-López Abelardo, Larios Trejo Jesús Antonio, Montesinos-López José Cricelio, Agbona Afolabi, Crossa José
Abstract excerpt
Genomic selection (GS) is changing plant breeding by significantly reducing the resources needed for phenotyping. However, its accuracy can be compromised by mismatches between training and testing sets, which impact efficiency when the predictive model does not adequately reflect the genetic and environmental conditions of the target population. To address this challenge, this study introduces a straightforward...
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