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

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Title: A machine learning approach to genome-wide association mapping of disease resistance and geographic origin in sorghum.
Authors: Ahn E; United States Department of Agriculture, Sustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA. Ezekiel.ahn@usda.gov., Baek I; United States Department of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Park S; United States Department of Agriculture, Sustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Prom LK; United States Department of Agriculture, Insect Control and Cotton Disease Research, Agricultural Research Service, Southern Plains Agricultural Research Center, United States, College Station, TX, 77845, USA., Lim S; United States Department of Agriculture, Sustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Jang JH; United States Department of Agriculture, Sustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Hong SM; United States Department of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA.; Department of Civil Urban Earth and Environmental Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan, 44919, Republic of Korea., Kim MS; United States Department of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Meinhardt LW; United States Department of Agriculture, Sustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Beltsville, MD, 20705, USA., Magill C; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA. c-magill@tamu.edu.
Source: BMC plant biology [BMC Plant Biol] 2026 Feb 28; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 28.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2229
DOI:10.1186/s12870-026-08468-z