Nature Communications (May 2020)
Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth
Abstract
An increase in genomic selection (GS) accuracy can accelerate genetic gain by shortening the breeding cycles. Here, the authors introduce a network-based GS method that uses metabolic models and improves the prediction accuracy of Arabidopsis growth within and across environments.