Jensina M. Davis

The paper uses standardized leaf imaging and vision encoders to capture disease response variation missed by human scoring, identifying genomic hotspots linked to disease symptoms.

This study examines how domestication and improvement in sorghum have affected genetic load and nitrogen-response variation by integrating genomic and phenotypic data.

This study assesses how yield plasticity affects hybrid performance in maize across diverse environments and finds no clear tradeoff between plasticity and mean performance.

This study uses 3D reconstruction from 2D images to measure phyllotaxy in sorghum, showing its feasibility for genetic analysis and breeding.

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.