Mario Morales

This paper develops an automated seed quality assessment tool for dry peas using imaging and deep learning, achieving high accuracy and efficiency compared to traditional methods.

This study shows that multi-trait genomic selection with sparse phenotyping improves prediction accuracy for seed mineral concentrations in pea compared to univariate genomic selection.