Brian R. Rice

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 evaluates how phenotyping replication, training population size, and genomic relatedness affect genomic predictive ability in sweet sorghum breeding programs.

The paper develops genomic approaches to build elite gene pools from locally-adapted landraces, finding that QGI effectively identifies elite pairs while cis-elite crosses yield better genetic gain.

This study uses single-cell RNA-seq to identify stem cell regulators in maize and Arabidopsis, revealing genes linked to yield traits and shoot development.

This paper constructs a sorghum pangenome and identifies trait-associated variants to inform climate-aware genome-enabled breeding strategies.

The paper assesses the vulnerability of the sorghum aphid resistance gene RMES1 to biotype shifts and finds it is bolstered by the presence of RMES2 and cyanogenesis.