Jenna L. Hershberger

Single-kernel near-infrared spectroscopy enables haploid kernel sorting in field and sweet corn using high-oil haploid inducers across diverse donor-inducer combinations

This study shows a single-kernel NIR sorter can accurately identify haploid kernels in maize using a general model across diverse donor-inducer combinations.

Genotypic and multi-environment phenotypic evaluation of the lima bean USDA National Plant Germplasm System collection

The paper evaluates genotypic and phenotypic traits of lima bean accessions across environments to support breeding, identifying genomic associations and establishing a core collection.

Leveraging High-dimensional Seed Colorspace in Phenomic Selection Models for Herbaceous Perennial Crops

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.

Transcriptome-wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels

This study uses transcriptome-wide association and prediction to identify genes related to carotenoid and tocochromanol levels in sweet corn and shows transcriptomic data improve predictive models.

Making WAVES in Breedbase: An Integrated Spectral Data Storage and Analysis Pipeline for Plant Breeding Programs

The paper develops an open-source R package, waves, for spectral data analysis in plant breeding and integrates it into the Breedbase database to enhance spectral data handling and analysis.