View in EDS HTML Full Text PDF Full Text

Improving genomic prediction for plant disease using environmental covariates.

Saved in:
Bibliographic Details
Title: Improving genomic prediction for plant disease using environmental covariates.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40836294
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Improving genomic prediction for plant disease using environmental covariates.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Brault+C%22">Brault C</searchLink>; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA. charlotte.brault@live.com.<br /><searchLink fieldCode="AU" term="%22Conley+EJ%22">Conley EJ</searchLink>; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA.<br /><searchLink fieldCode="AU" term="%22Read+AC%22">Read AC</searchLink>; USDA-ARS, Plant Science Research Unit, St. Paul, MN, USA.<br /><searchLink fieldCode="AU" term="%22Green+AJ%22">Green AJ</searchLink>; Department of Plant Sciences, North Dakota State University, Fargo, ND, USA.<br /><searchLink fieldCode="AU" term="%22Glover+KD%22">Glover KD</searchLink>; Agronomy, Horticulture, and Plant Science Department, South Dakota State University, Brookings, SD, USA.<br /><searchLink fieldCode="AU" term="%22Cook+JP%22">Cook JP</searchLink>; Plant Sciences and Plant Pathology Department, Montana State University, Bozeman, MT, 59717, USA.<br /><searchLink fieldCode="AU" term="%22Gill+HS%22">Gill HS</searchLink>; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA.<br /><searchLink fieldCode="AU" term="%22Fiedler+JD%22">Fiedler JD</searchLink>; USDA-ARS Cereal Crops Improvement Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND, USA. jason.fiedler@usda.gov.<br /><searchLink fieldCode="AU" term="%22Anderson+JA%22">Anderson JA</searchLink>; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101245798%22">Plant methods</searchLink> [Plant Methods] 2025 Aug 20; Vol. 21 (1), pp. 114. <i>Date of Electronic Publication: </i>2025 Aug 20.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101245798 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1746-4811 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217464811%22">17464811 </searchLink><i>NLM ISO Abbreviation: </i>Plant Methods <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40836294
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s13007-025-01418-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 114
    Titles:
      – TitleFull: Improving genomic prediction for plant disease using environmental covariates.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Brault C
      – PersonEntity:
          Name:
            NameFull: Conley EJ
      – PersonEntity:
          Name:
            NameFull: Read AC
      – PersonEntity:
          Name:
            NameFull: Green AJ
      – PersonEntity:
          Name:
            NameFull: Glover KD
      – PersonEntity:
          Name:
            NameFull: Cook JP
      – PersonEntity:
          Name:
            NameFull: Gill HS
      – PersonEntity:
          Name:
            NameFull: Fiedler JD
      – PersonEntity:
          Name:
            NameFull: Anderson JA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 08
              Text: 2025 Aug 20
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1746-4811
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Plant methods
              Type: main
ResultId 1