Matthew J. Rubin

This study compares genomic and phenomic selection for agronomic traits in intermediate wheatgrass across breeding cycles, finding genomic models and leaf HSV phenotypes provide reliable predictions.

This paper uses leaf phenomics to estimate below-ground root traits in American licorice, finding correlations between leaf traits and root characteristics.

The paper uses seed color and morphology data from image scans to predict germination traits in perennial crops, showing improved prediction accuracy when combining HSV color features with morphology.

This study examines how watering regime affects trait covariation in a hybrid Silphium population, finding that bottom-watering reduces plant size and alters root morphology and biomass relationships.

The paper integrates transcriptomic network reconstruction and QTL analyses to uncover mechanistic links between genomic architecture and Brassica rapa development in field settings.