Henry Alexander Cordoba-Novoa

This study shows that prioritizing deleterious mutations improves genomic prediction accuracy for yield in common bean and increases genetic gain through optimized breeding strategies.

The paper identifies selection signatures and predicts deleterious mutations in common bean using phylogenetic analysis and machine learning, showing correlations with agronomic traits.