Linsey A. Newton

The paper demonstrates that integrating transcriptomic and phenomic data with genotypes improves trait prediction in maize across environments.

This study identifies genetic loci and haplotypes associated with plant architectural and biomass yield traits in sorghum using genome-wide association studies and network analysis.

The paper predicts grain yield using non-yield traits and shows that a trait-based model performs comparably to genomic prediction models in cross-environment settings.

The paper develops bioluminescence reporter lines in Nannochloropsis species to study circadian rhythms and identifies a circadian oscillator in stramenopiles.