David Robert Jordan

This study uses electromagnetic induction to measure crop root function in the field, showing it can accurately predict water use and root traits across different genotypes and row spacings.

This study develops an ensemble model using UAV-derived photogrammetric height data to predict plot-level lodging severity in sorghum breeding trials, achieving high accuracy and robustness across sites.

This study identifies genetic loci controlling tillering responsiveness to neighbour proximity in sorghum using GWAS and a diversity panel.

The paper presents complete telomere-to-telomere cowpea genomes, revealing centromere evolution and subspecies divergence in Phaseoleae.

This study analyzes the genetic diversity of cowpea using 10,617 accessions, revealing nine genetic groups and highlighting untapped genetic resources for crop improvement.

This study presents complete telomere-to-telomere assemblies of two sorghum genomes, identifying new sequences and correcting assembly errors to enhance genetic research.

This study identifies 213 QTL associated with drought-induced lodging in grain sorghum, showing strong links to plant height and carbon remobilisation traits.

This study identifies 92 grain size QTL in sorghum through GWAS, showing overlap with rice and maize QTL and supporting common genetic control of grain size across cereals.