Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population

Abstract Genomic selection is a worthy breeding method to improve genetic gain in recurrent selection breeding schemes. The integration of multi-generation and multi-location information could significantly improve genomic prediction models in the context of shuttle breeding. The Cirad-CIAT upland r...

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Bibliographic Details

Published in:	Rice
Main Authors:	Hugues de Verdal, Cédric Baertschi, Julien Frouin, Constanza Quintero, Yolima Ospina, Maria Fernanda Alvarez, Tuong-Vi Cao, Jérôme Bartholomé, Cécile Grenier
Format:	Article
Language:	English
Published:	SpringerOpen 2023-09-01
Subjects:	Training set optimization Genomic selection Oryza sativa Genotype-by-environment interaction
Online Access:	https://doi.org/10.1186/s12284-023-00661-0