Richard M. Trethowan

This study shows that heat stress at different developmental stages in wheat causes distinct molecular and phenotypic responses, with stronger effects on grain set and composition at the trinucleate stage.

This study evaluates the impact of delayed sowing on grain yield in kabuli chickpea germplasm, identifying genomic regions associated with seed number and phenology that could improve yield.

DeepBioGS integrates genomic selection with crop growth models using deep learning to improve prediction of genotype performance across environments.

This study identifies QTL for heat-induced stomatal anatomy traits in wheat, showing genetic control and environmental sensitivity, supporting breeding strategies for climate-resilient crops.

This study identifies stable QTL for adaxial stomatal anatomy under drought and heat in wheat, offering targets for improving climate resilience.

This study examines how wheat leaf respiration adapts to nocturnal warming, finding that respiratory rates in the dark decrease while daytime rates remain stable, suggesting improved energy efficiency in modern cultivars.

The paper establishes the OzWheat genome-to-phenome platform to integrate wheat genomes and phenomes, identifying candidate genes and gene-environment interactions for trait improvement.