Lee R. DeHaan

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.

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 assembles and annotates the transcriptome of johnsongrass rhizomes to identify genes potentially specific to rhizome development.