Alison R. Bentley

The paper demonstrates that a wheat line with BNI capacity reduces soil nitrate levels in alkaline soils, with mixed yield impacts across trials.

The paper develops a high-density SNP genotyping array for wheat using whole genome skim sequencing and a novel optimization approach, showing improved performance in GWAS and CNV analysis.

The paper develops wheat chromosome segment substitution lines to capture genetic variation from progenitor species and assesses their utility for trait localization.

The paper uses multi-trait genomic prediction models and simulations to show that complex trait genetic architecture improves long-term genetic gains in wheat breeding.

This paper enhances multi-year genomic prediction of wheat breeding data by integrating environmental associations (EPA) to improve genotype-by-environment interaction predictions.

The paper analyzes haplotype diversity and genetic associations in wheat breeding lines to understand polygenic trait architecture and breeding implications.

This study evaluates how training population design affects genomic prediction accuracy in wheat, finding that larger training sets and related crosses improve prediction accuracy.

This paper clones four stem rust resistance genes in wild diploid wheat using association genetics and R gene enrichment sequencing within six months.