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Candidate genes for anthracnose resistance in Senegalese sorghum: a machine learning-based exploration.

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Title: Candidate genes for anthracnose resistance in Senegalese sorghum: a machine learning-based exploration.
Authors: Ahn E; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA. ezekiel.ahn@usda.gov., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA., Prom LK; Insect Control and Cotton Disease Research, Agricultural Research Service, Department of Agriculture, Southern Plains Agricultural Research Center, College Station, TX, 77845, USA., Park S; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA., Meinhardt LW; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, 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: Functional & integrative genomics [Funct Integr Genomics] 2025 Dec 18; Vol. 26 (1), pp. 5. Date of Electronic Publication: 2025 Dec 18.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 100939343 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-7948 (Electronic) Linking ISSN: 1438793X NLM ISO Abbreviation: Funct Integr Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Candidate genes for anthracnose resistance in Senegalese sorghum: a machine learning-based exploration.
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  Data: <searchLink fieldCode="AU" term="%22Ahn+E%22">Ahn E</searchLink>; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA. ezekiel.ahn@usda.gov.<br /><searchLink fieldCode="AU" term="%22Baek+I%22">Baek I</searchLink>; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA.<br /><searchLink fieldCode="AU" term="%22Prom+LK%22">Prom LK</searchLink>; Insect Control and Cotton Disease Research, Agricultural Research Service, Department of Agriculture, Southern Plains Agricultural Research Center, College Station, TX, 77845, USA.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA.<br /><searchLink fieldCode="AU" term="%22Kim+MS%22">Kim MS</searchLink>; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA.<br /><searchLink fieldCode="AU" term="%22Meinhardt+LW%22">Meinhardt LW</searchLink>; Sustainable Perennial Crops Laboratory, Agricultural Research Service, Department of Agriculture, Beltsville, MD, 20705, USA.<br /><searchLink fieldCode="AU" term="%22Magill+C%22">Magill C</searchLink>; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA. c-magill@tamu.edu.
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  Data: <searchLink fieldCode="JN" term="%22100939343%22">Functional & integrative genomics</searchLink> [Funct Integr Genomics] 2025 Dec 18; Vol. 26 (1), pp. 5. <i>Date of Electronic Publication: </i>2025 Dec 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>100939343 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-7948 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221438793X%22">1438793X </searchLink><i>NLM ISO Abbreviation: </i>Funct Integr Genomics <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10142-025-01797-6
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              Text: 2025 Dec 18
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