Pangenomics and machine learning reveal genetic variation to optimize carotenoids in sorghum grain
Linly Banda, Chloee M. McLaughlin, Avril M. Harder, Clara M Cruet-Burgos, Adam L. Healey, Dave Flowers, Shannon Talley, Ada Stewart, Jane Grimwood, Geoffrey P. Morris, John T. Lovell, Davina Rhodes
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.
bioRxiv · Sep 24, 2026 · PreprintGenomics