Duke Pauli

The paper identifies a binary chemotype in cotton associated with drought resilience, showing differential volatile compound production and physiological responses to water stress.

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

HAMRLNC is a computational pipeline for analyzing RNA-seq data to quantify transcript abundance, infer RNA modifications, and annotate lncRNAs, producing labeled figures for visualization.

This study examines a Zea mays slac1-2 mutant to assess its impact on water use efficiency and agronomic traits, finding no improvement in CO2 assimilation or yield despite increased stomatal conductance.

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.

The paper analyzes the genetic control of the cotton seed ionome under drought and heat stress, finding shared genetic architecture and predictive power for plant physiological responses.