Optimizing fully-efficient two-stage models for genomic selection using open-source software

Optimizing fully-efficient two-stage models for genomic selection using open-source software

Abstract Genomic-assisted breeding has transitioned from theoretical concepts to practical applications in breeding. Genomic selection (GS) predicts genomic breeding values (GEBV) using dense genetic markers. Single-stage models predict GEBVs from phenotypic observations in one step, fully accountin...

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Bibliographic Details
Main Authors: Javier Fernández-González, Julio Isidro y Sánchez
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Plant Methods
Subjects:
Two-stage models
Fully-efficient
Variance-covariance
Open-source
Weighted regression
Genomic prediction
Online Access:https://doi.org/10.1186/s13007-024-01318-9
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https://doi.org/10.1186/s13007-024-01318-9

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