Genomic Analysis of Resistance to Exserohilum turcicum in Nigerien and Senegalese Sorghum Using GWAS and Machine Learning.
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| Title: | Genomic Analysis of Resistance to Exserohilum turcicum in Nigerien and Senegalese Sorghum Using GWAS and Machine Learning. |
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| Authors: | Prom LK; USDA-ARS, Southern Plains Agricultural Research Center, 2765 F & B Road, College Station, TX 77845, USA., Ahn EJS; USDA-ARS Sustainable Perennial Crops Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA., Tukuli AR; USDA-ARS, Southern Plains Agricultural Research Center, 2765 F & B Road, College Station, TX 77845, USA., Botkin JR; Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108, USA., Park S; USDA-ARS Sustainable Perennial Crops Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA., Perkin LC; USDA-ARS, Southern Plains Agricultural Research Center, 2765 F & B Road, College Station, TX 77845, USA., Magill CW; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77843, USA. |
| Source: | Pathogens (Basel, Switzerland) [Pathogens] 2026 Apr 05; Vol. 15 (4). Date of Electronic Publication: 2026 Apr 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101596317 Publication Model: Electronic Cited Medium: Internet ISSN: 2076-0817 (Electronic) Linking ISSN: 20760817 NLM ISO Abbreviation: Pathogens Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2076-0817 |
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| DOI: | 10.3390/pathogens15040389 |
