Improving genomic prediction for plant disease using environmental covariates.
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| Title: | Improving genomic prediction for plant disease using environmental covariates. |
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| Authors: | Brault C; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA. charlotte.brault@live.com., Conley EJ; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA., Read AC; USDA-ARS, Plant Science Research Unit, St. Paul, MN, USA., Green AJ; Department of Plant Sciences, North Dakota State University, Fargo, ND, USA., Glover KD; Agronomy, Horticulture, and Plant Science Department, South Dakota State University, Brookings, SD, USA., Cook JP; Plant Sciences and Plant Pathology Department, Montana State University, Bozeman, MT, 59717, USA., Gill HS; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA., Fiedler JD; USDA-ARS Cereal Crops Improvement Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND, USA. jason.fiedler@usda.gov., Anderson JA; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA. |
| Source: | Plant methods [Plant Methods] 2025 Aug 20; Vol. 21 (1), pp. 114. Date of Electronic Publication: 2025 Aug 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: Electronic Cited Medium: Print ISSN: 1746-4811 (Print) Linking ISSN: 17464811 NLM ISO Abbreviation: Plant Methods Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1746-4811 |
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| DOI: | 10.1186/s13007-025-01418-0 |
