Sandeep Marla

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 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 an extended omnigenic model to explain the geometric distribution of effect sizes in complex traits using sorghum yield data, finding evidence for regulatory effects both in space and time.

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 develops a genomic resource for West African sorghum by characterizing a diverse panel and identifying QTLs for flowering time and plant height.

This study identifies genetic factors controlling inflorescence morphology in sorghum using nested association mapping, revealing QTL associated with precipitation adaptation.

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.

The paper identifies a modifier locus in maize that reveals cis-regulatory variation affecting chlorophyll biosynthesis through a mutant reporter allele.