Maximizing efficiency in sunflower breeding through historical data optimization

Maximizing efficiency in sunflower breeding through historical data optimization

Abstract Genomic selection (GS) has become an increasingly popular tool in plant breeding programs, propelled by declining genotyping costs, an increase in computational power, and rediscovery of the best linear unbiased prediction methodology over the past two decades. This development has led to a...

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Bibliographic Details
Main Authors: Javier Fernández-González, Bertrand Haquin, Eliette Combes, Karine Bernard, Alix Allard, Julio Isidro y Sánchez
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Plant Methods
Subjects:
Genomic selection
Training set optimization
Sunflower hybrids
Historical data
Multi-objective optimization
Online Access:https://doi.org/10.1186/s13007-024-01151-0

Internet

https://doi.org/10.1186/s13007-024-01151-0

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