Sikiru Adeniyi Atanda

The paper evaluates a multi-trait multi-environment genomic prediction model for improving yield and protein content in field peas under stress and non-stress conditions using breeding lines from a pulse crop program.

The paper estimates effective population size (Ne) in pea using linkage disequilibrium, finding higher Ne in the USDA diversity panel compared to NDSU breeding lines.

This paper develops genomic-inferred cross-selection metrics to improve multi-trait genetic gain in a breeding program while maintaining additive genetic variance.

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.