Shannon K. Dillon

This study identifies haploblocks associated with rust resistance in wheat and develops a selection index to improve breeding for durable resistance.

This study improves genomic prediction of wheat traits by integrating gene expression and environmental data, showing that combining transcriptome and environment data enhances prediction accuracy.

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.