Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches.
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| Title: | Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. |
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| Authors: | Chen C; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia., Bhuiyan SA; Sugar Research Australia, Woodford, QLD, Australia.; Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, QLD, Australia., Ross E; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia., Powell O; Center for Crop Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia., Dinglasan E; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia., Wei X; Sugar Research Australia, Indooroopilly, QLD, Australia., Atkin F; Sugar Research Australia, Indooroopilly, QLD, Australia., Deomano E; Sugar Research Australia, Indooroopilly, QLD, Australia., Hayes B; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia. |
| Source: | Frontiers in plant science [Front Plant Sci] 2024 May 01; Vol. 15, pp. 1398903. Date of Electronic Publication: 2024 May 01 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38751840 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Bhuiyan+SA%22">Bhuiyan SA</searchLink>; Sugar Research Australia, Woodford, QLD, Australia.; Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Ross+E%22">Ross E</searchLink>; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Powell+O%22">Powell O</searchLink>; Center for Crop Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Dinglasan+E%22">Dinglasan E</searchLink>; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Wei+X%22">Wei X</searchLink>; Sugar Research Australia, Indooroopilly, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Atkin+F%22">Atkin F</searchLink>; Sugar Research Australia, Indooroopilly, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Deomano+E%22">Deomano E</searchLink>; Sugar Research Australia, Indooroopilly, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Hayes+B%22">Hayes B</searchLink>; Center for Animal Science, The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101568200%22">Frontiers in plant science</searchLink> [Front Plant Sci] 2024 May 01; Vol. 15, pp. 1398903. <i>Date of Electronic Publication: </i>2024 May 01 (<i>Print Publication: </i>2024). – 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="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568200 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-462X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664462X%22">1664462X </searchLink><i>NLM ISO Abbreviation: </i>Front Plant Sci <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38751840 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fpls.2024.1398903 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1398903 Titles: – TitleFull: Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen C – PersonEntity: Name: NameFull: Bhuiyan SA – PersonEntity: Name: NameFull: Ross E – PersonEntity: Name: NameFull: Powell O – PersonEntity: Name: NameFull: Dinglasan E – PersonEntity: Name: NameFull: Wei X – PersonEntity: Name: NameFull: Atkin F – PersonEntity: Name: NameFull: Deomano E – PersonEntity: Name: NameFull: Hayes B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2024 May 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1664-462X Numbering: – Type: volume Value: 15 Titles: – TitleFull: Frontiers in plant science Type: main |
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