Article
Bayesian discrete lognormal regression model for genomic prediction.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 14 Jan 2024
Montesinos-López Abelardo, Gutiérrez-Pulido Humberto, Ramos-Pulido Sofía, Montesinos-López José Cricelio, Montesinos-López Osval A, Crossa José
Abstract excerpt
KEY MESSAGE: Genomic prediction models for quantitative traits assume continuous and normally distributed phenotypes. In this research, we proposed a novel Bayesian discrete lognormal regression model. Genomic selection is a powerful tool in modern breeding programs that uses genomic information to predict the performance of individuals and select those with desirable traits. It has revolutionized animal and...
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