A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north-central United States.
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| Title: | A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north-central United States. |
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| Authors: | Shah DA; Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA. dashah81@ksu.edu., Butts TR; Department of Crop, Soil, and Environmental Sciences, University of Arkansas System Division of Agriculture, Lonoke, AR, 72086, USA., Mourtzinis S; Agstat Consulting, Athens, Greece., Rattalino Edreira JI; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA., Grassini P; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA., Conley SP; Department of Agronomy, University of Wisconsin-Madison, Madison, WI, 53706, USA., Esker PD; Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, University Park, PA, 16802, USA. |
| Source: | Scientific reports [Sci Rep] 2021 Sep 21; Vol. 11 (1), pp. 18769. Date of Electronic Publication: 2021 Sep 21. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34548572 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north-central United States. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shah+DA%22">Shah DA</searchLink>; Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA. dashah81@ksu.edu.<br /><searchLink fieldCode="AU" term="%22Butts+TR%22">Butts TR</searchLink>; Department of Crop, Soil, and Environmental Sciences, University of Arkansas System Division of Agriculture, Lonoke, AR, 72086, USA.<br /><searchLink fieldCode="AU" term="%22Mourtzinis+S%22">Mourtzinis S</searchLink>; Agstat Consulting, Athens, Greece.<br /><searchLink fieldCode="AU" term="%22Rattalino+Edreira+JI%22">Rattalino Edreira JI</searchLink>; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.<br /><searchLink fieldCode="AU" term="%22Grassini+P%22">Grassini P</searchLink>; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.<br /><searchLink fieldCode="AU" term="%22Conley+SP%22">Conley SP</searchLink>; Department of Agronomy, University of Wisconsin-Madison, Madison, WI, 53706, USA.<br /><searchLink fieldCode="AU" term="%22Esker+PD%22">Esker PD</searchLink>; Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, University Park, PA, 16802, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2021 Sep 21; Vol. 11 (1), pp. 18769. <i>Date of Electronic Publication: </i>2021 Sep 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34548572 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-021-98230-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 18769 Titles: – TitleFull: A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north-central United States. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shah DA – PersonEntity: Name: NameFull: Butts TR – PersonEntity: Name: NameFull: Mourtzinis S – PersonEntity: Name: NameFull: Rattalino Edreira JI – PersonEntity: Name: NameFull: Grassini P – PersonEntity: Name: NameFull: Conley SP – PersonEntity: Name: NameFull: Esker PD IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 09 Text: 2021 Sep 21 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 11 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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