Andrea L. Eveland

This study identifies dihydrouridine (DHU) modification as a regulator of transcript turnover and photosynthetic capacity in plants under abiotic stress.

This paper constructs a sorghum pangenome and identifies trait-associated variants to inform climate-aware genome-enabled breeding strategies.

The paper identifies regulatory variation underlying pleiotropy between leaf angle and tassel branch number in maize using context-specific developmental networks and genome-wide association analyses.

The paper uses gene regulatory networks from maize to inform genomic prediction models for plant architecture traits, finding that markers near highly connected transcription factors improve prediction accuracy in maize and related crops.

This paper develops deep learning models to detect and quantify sorghum charcoal rot in field images, finding that EfficientNet-B3 and FCN achieve high accuracy and efficiency.