Clara M Cruet-Burgos

Pangenomics and machine learning reveal genetic variation to optimize carotenoids in sorghum grain

This study uses pangenomics and machine learning to identify genetic markers associated with carotenoid accumulation in sorghum, revealing structural variation and multi-locus genetic architecture.

Functional genomic map of local adaptation in sorghum to guide allele mining

This study identifies genomic regions and variant types associated with local adaptation in sorghum using genotype-environment associations, highlighting the importance of cis-regulatory elements.

Delivering trait-enhanced varieties to African smallholders through a pangenomic breeding network

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

Developing future resilience from signatures of adaptation across the sorghum pangenome

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