Amelia Hubbard

The paper identifies functional NLR resistance genes in plants by combining high expression signatures with high-throughput transformation and phenotyping, confirming new resistance genes against stem rust in wheat.

This study uses hyperspectral imaging and deep learning to classify multiple infections in wheat, achieving 81% accuracy for single and double infections.

This study analyzes the population genomics and molecular epidemiology of wheat powdery mildew in Europe, revealing population structure linked to wind patterns and identifying loci under selection, including fungicide targets and avirulence genes.