Z. J. Winn

HaploCatcher predicts haplotypes using a random forest model trained on wheat lines with the Sst1 locus, achieving high accuracy in predicting stem solidness resistance.

This study compares genomic and phenomic prediction accuracies for grain yield in wheat, finding that phenomic estimates from spectral indices outperform genomic estimates from gBLUP models.

The paper uses a historical wheat dataset to evaluate genomic prediction of Fusarium head blight resistance traits, finding that environment clustering improves predictive accuracy.