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Article

A machine learning approach to genome-wide association mapping of disease resistance and geographic origin in sorghum.

BMC plant biology - 28 Feb 2026

Ahn Ezekiel, Baek Insuck, Park Sunchung, Prom Louis K, Lim Seunghyun, Jang Jae Hee, Hong Seok Min, Kim Moon S, Meinhardt Lyndel W, Magill Clint

Abstract excerpt

Sorghum, the fifth most important cereal crop globally, faces persistent threats from fungal diseases that limit productivity and resilience. To investigate the genetic basis of disease resistance and geographic adaptation, we applied a machine learning-enabled genome-wide association study (GWAS) to a panel of 377 genetically diverse sorghum accessions, incorporating nearly 300,000 SNP markers and phenotypic...

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PMID: 41761085
DOI: 10.1186/s12870-026-08468-z
PMCID: PMC13059599

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