Terry J. Felderhoff

This paper introduces Flywheel Genomics, a framework that integrates trait discovery with rapid cycling breeding to improve plant breeding efficiency and genetic gain.

The paper develops field and lab phenotyping methods to detect genetic variation for iron deficiency chlorosis tolerance in sorghum, showing improved genetic signal detection with filtered data and controlled-environment assays.

The paper identifies stable genomic loci associated with photoperiodic flowering and grain mold resistance in sorghum, providing tools for breeding climate-resilient varieties.

This paper uses deep learning models to detect sorghum panicles from aerial and lab images, improving yield prediction through machine learning regression.

The paper identifies the pangenomic origins and molecular basis of RMES1, a noncanonical NLR gene that enabled evolutionary rescue in sorghum by disrupting aphid feeding through global immunity activation.

The paper demonstrates how a global pangenomic breeding network can develop and deploy drought and pest-resistant sorghum varieties for smallholder farmers in Niger.

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.

The paper identifies genetic loci associated with chilling tolerance in sorghum using nested association mapping and finds some loci co-localize with historically selected genes.