Owen A. Hoekenga

Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations

This study evaluates multi-omics prediction models for oat traits across environments and populations, showing improved accuracy over genomic prediction with SNP data.

Heritable temporal gene expression patterns correlate with metabolomic seed content in developing hexaploid oat seed

This study identifies heritable temporal gene expression patterns in oat seeds and links them to metabolomic seed content, providing insights for breeding improved oat varieties.

Multivariate Genome-wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.)

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

Integrating co-expression networks with GWAS to prioritize causal genes in maize

The paper develops Camoco, a method integrating GWAS loci with co-expression networks to prioritize causal genes in maize, showing improved performance with tissue-specific expression data.

Elemental Accumulation in Kernels of the Maize Nested Association Mapping Panel Reveals Signals of Gene by Environment Interactions

The paper measures elemental accumulation in maize kernels across environments and identifies genetic loci associated with elemental traits using QTL and GWAS.