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Article

Machine learning reveals complex genetics of fungal resistance in sorghum grain mold.

Heredity - 1 Aug 2025

Ahn Ezekiel, Prom Louis K, Park Sunchung, Lee Dongho, Bhatt Jishnu, Ellur Vishnutej, Lim Seunghyun, Jang Jae Hee, Lakshman Dilip, Magill Clint

Abstract excerpt

Plant disease resistance is often a complex, polygenic trait, making its genetic dissection with traditional genome-wide association studies (GWAS) challenging. Grain mold in sorghum, a devastating disease caused by a fungal complex, exemplifies this complexity. We hypothesized that a machine learning (ML)-driven GWAS, employing diverse phenotypic representations from a panel of 306 sorghum accessions, could more...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 40684039
DOI: 10.1038/s41437-025-00783-9
PMCID: PMC12317092

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