Jesse Poland

The paper presents a gap-free, telomere-to-telomere genome assembly for date palm and 19 high-quality assemblies, revealing chromosomal structures and sex determination regions.

The paper presents genomic resources for the Timopheevii wheat lineage, revealing evolutionary dynamics including homoeologous exchange, genome instability, and geographic range expansion.

The paper tests an extended omnigenic model to explain the geometric distribution of effect sizes in complex traits using sorghum yield data, finding evidence for regulatory effects both in space and time.

This study annotates the wheat pan-transcriptome de novo and identifies gene diversity and expression patterns across multiple wheat cultivars and tissues.

Genotyping Aegilops species, the wild relatives of wheat, has revealed high genetic diversity and unique evolutionary relationships among the Aegilops and with wheat, giving insight into the effective use of these germplasms for bread wheat improvement.

The paper tests genetic variation for limited transpiration in sorghum under field conditions and evaluates canopy temperature as a surrogate trait.

This study uses phenomics and genomics to improve early-season chilling tolerance in sorghum through marker-assisted breeding, showing up to 24% performance improvement in lines with the CT allele.

This study uses high-throughput phenotyping and genomic prediction to assess and improve barley yellow dwarf resistance in wheat.

Genotyping of gene bank collections of diploid A-genome relatives of wheat uncovered relatively higher genetic diversity and unique evolutionary relationships which gives insight to the effective use of these germplasm for wheat improvement.

The paper presents two gap-free rice genomes, revealing centromere structure and gene expression insights.

The paper presents a chromosome-scale rye genome assembly to study genomic evolution and agronomic traits in Triticeae crops.

This study evaluates the economic benefits of genomic selection in a winter wheat breeding program by analyzing prediction accuracy, genotyping costs, and heritability levels.

This study evaluates aerial high-throughput phenotyping for indirect selection of grain yield in wheat breeding programs, finding vegetation indices predictive of yield and more effective than visual selection.

This paper uses deep learning to score wheat morphology and flowering time from field images, revealing novel genetic interactions and heritable flowering rates.

The paper identifies genetic loci associated with seed fatty acid composition in oat using multivariate GWAS approaches, finding more significant SNPs than univariate analyses.

This study uses hyperspectral reflectance-derived relationship matrices in genomic selection to predict grain yield in wheat, showing improved accuracy when combined with marker and pedigree data.

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

The paper uses next generation sequencing to identify and remove duplicated germplasm accessions in genebanks, revealing over 50% duplication in Aegilops tauschii collections.