DON content in oat grains in Norway related to weather conditions at different growth stages View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12-01

AUTHORS

Anne-Grete Roer Hjelkrem, Torfinn Torp, Guro Brodal, Heidi Udnes Aamot, Einar Strand, Berit Nordskog, Ruth Dill-Macky, Simon G. Edwards, Ingerd Skow Hofgaard

ABSTRACT

High concentrations of the mycotoxin deoxynivalenol (DON), produced by Fusarium graminearum have occurred frequently in Norwegian oats recently. Early prediction of DON levels is important for farmers, authorities and the Cereal Industry. In this study, the main weather factors influencing mycotoxin accumulation were identified and two models to predict the risk of DON in oat grains in Norway were developed: (1) as a warning system for farmers to decide if and when to treat with fungicide, and (2) for authorities and industry to use at harvest to identify potential food safety problems. Oat grain samples from farmers’ fields were collected together with weather data (2004–2013). A mathematical model was developed and used to estimate phenology windows of growth stages in oats (tillering, flowering etc.). Weather summarisations were then calculated within these windows, and the Spearman rank correlation factor calculated between DON-contamination in oats at harvest and the weather summarisations for each phenological window. DON contamination was most clearly associated with the weather conditions around flowering and close to harvest. Warm, rainy and humid weather during and around flowering increased the risk of DON accumulation in oats, as did dry periods during germination/seedling growth and tillering. Prior to harvest, warm and humid weather conditions followed by cool and dry conditions were associated with a decreased risk of DON accumulation. A prediction model, including only pre-flowering weather conditions, adequately forecasted risk of DON contamination in oat, and can aid in decisions about fungicide treatments. More... »

PAGES

577-594

References to SciGraph publications

  • 1999. Monte Carlo Statistical Methods in NONE
  • 2011-11-06. Infection process of Fusarium graminearum in oats (Avena sativa L.) in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • 2008-09-26. A Multi-compound LC-MS/MS Method for the Screening of Mycotoxins in Grains in FOOD ANALYTICAL METHODS
  • 2015-02-07. Future environmental and geographic risks of Fusarium head blight of wheat in Scotland in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • 1995-06. Stem and head reaction of winter wheat cultivars to artificial inoculation by Microdochium nivale under controlled environment and field conditions in EUPHYTICA
  • 2007-01-19. Probabilistic Inference for Future Climate Using an Ensemble of Climate Model Evaluations in CLIMATIC CHANGE
  • 2003-09. Effects of Environmental Conditions on the Development of Fusarium Ear Blight in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • 2015-05-03. Simultaneous determination of major type A and B trichothecenes, zearalenone and certain modified metabolites in Finnish cereal grains with a novel liquid chromatography-tandem mass spectrometric method in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2012-03-01. Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • 2009-03-17. A Multi-compound LC-MS/MS Method for the Screening of Mycotoxins in Grains in FOOD ANALYTICAL METHODS
  • 2003-07. Studies on in vitro Growth and Pathogenicity of European Fusarium Fungi in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • 2013-09-03. Developing logistic models to relate the accumulation of DON associated with Fusarium head blight to climatic conditions in Europe in EUROPEAN JOURNAL OF PLANT PATHOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10658-016-1113-5

    DOI

    http://dx.doi.org/10.1007/s10658-016-1113-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016178370


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural and Veterinary Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0703", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Crop and Pasture Production", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hjelkrem", 
            "givenName": "Anne-Grete Roer", 
            "id": "sg:person.016215117021.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016215117021.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Torp", 
            "givenName": "Torfinn", 
            "id": "sg:person.01104042005.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104042005.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Brodal", 
            "givenName": "Guro", 
            "id": "sg:person.0661744763.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661744763.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Aamot", 
            "givenName": "Heidi Udnes", 
            "id": "sg:person.01162336443.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162336443.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Agricultural Extension Service, Osloveien 1, 1430, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
                "Norwegian Agricultural Extension Service, Osloveien 1, 1430, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Strand", 
            "givenName": "Einar", 
            "id": "sg:person.014670271221.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014670271221.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nordskog", 
            "givenName": "Berit", 
            "id": "sg:person.0751400131.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751400131.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Plant Pathology, University of Minnesota, 495 Borlaug Hall, 1991 Upper Buford Circle, 55108, St Paul, MN, USA", 
              "id": "http://www.grid.ac/institutes/grid.17635.36", 
              "name": [
                "Department of Plant Pathology, University of Minnesota, 495 Borlaug Hall, 1991 Upper Buford Circle, 55108, St Paul, MN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dill-Macky", 
            "givenName": "Ruth", 
            "id": "sg:person.0667407343.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667407343.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Crop and Environment Sciences Department, Harper Adams University, TF10 8NB, Newport, Shropshire, UK", 
              "id": "http://www.grid.ac/institutes/grid.417899.a", 
              "name": [
                "Crop and Environment Sciences Department, Harper Adams University, TF10 8NB, Newport, Shropshire, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Edwards", 
            "givenName": "Simon G.", 
            "id": "sg:person.01362525423.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362525423.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway", 
              "id": "http://www.grid.ac/institutes/grid.454322.6", 
              "name": [
                "Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, \u00c5s, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hofgaard", 
            "givenName": "Ingerd Skow", 
            "id": "sg:person.01215012675.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215012675.82"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10658-015-0598-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018537328", 
              "https://doi.org/10.1007/s10658-015-0598-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-006-9156-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022087214", 
              "https://doi.org/10.1007/s10584-006-9156-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4757-3071-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049195233", 
              "https://doi.org/10.1007/978-1-4757-3071-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1026022223359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019672468", 
              "https://doi.org/10.1023/a:1026022223359"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10658-011-9888-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035654697", 
              "https://doi.org/10.1007/s10658-011-9888-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10658-013-0280-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042022254", 
              "https://doi.org/10.1007/s10658-013-0280-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12161-009-9078-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019053495", 
              "https://doi.org/10.1007/s12161-009-9078-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10658-012-9968-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019536701", 
              "https://doi.org/10.1007/s10658-012-9968-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00216-015-8676-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051225174", 
              "https://doi.org/10.1007/s00216-015-8676-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1024712415326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000233272", 
              "https://doi.org/10.1023/a:1024712415326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12161-008-9051-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018730436", 
              "https://doi.org/10.1007/s12161-008-9051-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00037120", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005833269", 
              "https://doi.org/10.1007/bf00037120"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12-01", 
        "datePublishedReg": "2016-12-01", 
        "description": "High concentrations of the mycotoxin deoxynivalenol (DON), produced by Fusarium graminearum have occurred frequently in Norwegian oats recently. Early prediction of DON levels is important for farmers, authorities and the Cereal Industry. In this study, the main weather factors influencing mycotoxin accumulation were identified and two models to predict the risk of DON in oat grains in Norway were developed: (1) as a warning system for farmers to decide if and when to treat with fungicide, and (2) for authorities and industry to use at harvest to identify potential food safety problems. Oat grain samples from farmers\u2019 fields were collected together with weather data (2004\u20132013). A mathematical model was developed and used to estimate phenology windows of growth stages in oats (tillering, flowering etc.). Weather summarisations were then calculated within these windows, and the Spearman rank correlation factor calculated between DON-contamination in oats at harvest and the weather summarisations for each phenological window. DON contamination was most clearly associated with the weather conditions around flowering and close to harvest. Warm, rainy and humid weather during and around flowering increased the risk of DON accumulation in oats, as did dry periods during germination/seedling growth and tillering. Prior to harvest, warm and humid weather conditions followed by cool and dry conditions were associated with a decreased risk of DON accumulation. A prediction model, including only pre-flowering weather conditions, adequately forecasted risk of DON contamination in oat, and can aid in decisions about fungicide treatments.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10658-016-1113-5", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4644896", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4676892", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023051", 
            "issn": [
              "0929-1873", 
              "1573-8469"
            ], 
            "name": "European Journal of Plant Pathology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "148"
          }
        ], 
        "keywords": [
          "DON contamination", 
          "DON accumulation", 
          "oat grain", 
          "growth stages", 
          "weather conditions", 
          "oat grain samples", 
          "Spearman's rank correlation factor", 
          "different growth stages", 
          "risk of deoxynivalenol", 
          "potential food safety problems", 
          "humid weather conditions", 
          "food safety problems", 
          "main weather factors", 
          "farmers\u2019 fields", 
          "mycotoxin accumulation", 
          "DON content", 
          "DON levels", 
          "Fusarium graminearum", 
          "grain samples", 
          "fungicide treatments", 
          "cereal industry", 
          "mycotoxin deoxynivalenol", 
          "germination/", 
          "oats", 
          "weather data", 
          "weather factors", 
          "harvest", 
          "phenological window", 
          "deoxynivalenol", 
          "humid weather", 
          "dry period", 
          "farmers", 
          "dry conditions", 
          "grains", 
          "tillering", 
          "graminearum", 
          "accumulation", 
          "fungicides", 
          "contamination", 
          "weather", 
          "industry", 
          "Norway", 
          "growth", 
          "high concentrations", 
          "conditions", 
          "safety problems", 
          "stage", 
          "warning system", 
          "content", 
          "early prediction", 
          "field", 
          "prediction model", 
          "factors", 
          "risk", 
          "period", 
          "levels", 
          "concentration", 
          "treatment", 
          "authorities", 
          "study", 
          "decisions", 
          "system", 
          "samples", 
          "model", 
          "data", 
          "prediction", 
          "summarisation", 
          "mathematical model", 
          "problem", 
          "window", 
          "decreased risk", 
          "correlation factor"
        ], 
        "name": "DON content in oat grains in Norway related to weather conditions at different growth stages", 
        "pagination": "577-594", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1016178370"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10658-016-1113-5"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10658-016-1113-5", 
          "https://app.dimensions.ai/details/publication/pub.1016178370"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-20T07:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_702.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10658-016-1113-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10658-016-1113-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10658-016-1113-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10658-016-1113-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10658-016-1113-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    248 TRIPLES      22 PREDICATES      109 URIs      89 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10658-016-1113-5 schema:about anzsrc-for:07
    2 anzsrc-for:0703
    3 schema:author N1a38f52d5856489eb1214e7be9bd8242
    4 schema:citation sg:pub.10.1007/978-1-4757-3071-5
    5 sg:pub.10.1007/bf00037120
    6 sg:pub.10.1007/s00216-015-8676-4
    7 sg:pub.10.1007/s10584-006-9156-9
    8 sg:pub.10.1007/s10658-011-9888-x
    9 sg:pub.10.1007/s10658-012-9968-6
    10 sg:pub.10.1007/s10658-013-0280-x
    11 sg:pub.10.1007/s10658-015-0598-7
    12 sg:pub.10.1007/s12161-008-9051-2
    13 sg:pub.10.1007/s12161-009-9078-z
    14 sg:pub.10.1023/a:1024712415326
    15 sg:pub.10.1023/a:1026022223359
    16 schema:datePublished 2016-12-01
    17 schema:datePublishedReg 2016-12-01
    18 schema:description High concentrations of the mycotoxin deoxynivalenol (DON), produced by Fusarium graminearum have occurred frequently in Norwegian oats recently. Early prediction of DON levels is important for farmers, authorities and the Cereal Industry. In this study, the main weather factors influencing mycotoxin accumulation were identified and two models to predict the risk of DON in oat grains in Norway were developed: (1) as a warning system for farmers to decide if and when to treat with fungicide, and (2) for authorities and industry to use at harvest to identify potential food safety problems. Oat grain samples from farmers’ fields were collected together with weather data (2004–2013). A mathematical model was developed and used to estimate phenology windows of growth stages in oats (tillering, flowering etc.). Weather summarisations were then calculated within these windows, and the Spearman rank correlation factor calculated between DON-contamination in oats at harvest and the weather summarisations for each phenological window. DON contamination was most clearly associated with the weather conditions around flowering and close to harvest. Warm, rainy and humid weather during and around flowering increased the risk of DON accumulation in oats, as did dry periods during germination/seedling growth and tillering. Prior to harvest, warm and humid weather conditions followed by cool and dry conditions were associated with a decreased risk of DON accumulation. A prediction model, including only pre-flowering weather conditions, adequately forecasted risk of DON contamination in oat, and can aid in decisions about fungicide treatments.
    19 schema:genre article
    20 schema:inLanguage en
    21 schema:isAccessibleForFree true
    22 schema:isPartOf N13421deeca8647f2a5eb85bb3e8b6692
    23 Nf8c044e127ac4ab18860901a9ba2d47e
    24 sg:journal.1023051
    25 schema:keywords DON accumulation
    26 DON contamination
    27 DON content
    28 DON levels
    29 Fusarium graminearum
    30 Norway
    31 Spearman's rank correlation factor
    32 accumulation
    33 authorities
    34 cereal industry
    35 concentration
    36 conditions
    37 contamination
    38 content
    39 correlation factor
    40 data
    41 decisions
    42 decreased risk
    43 deoxynivalenol
    44 different growth stages
    45 dry conditions
    46 dry period
    47 early prediction
    48 factors
    49 farmers
    50 farmers’ fields
    51 field
    52 food safety problems
    53 fungicide treatments
    54 fungicides
    55 germination/
    56 grain samples
    57 grains
    58 graminearum
    59 growth
    60 growth stages
    61 harvest
    62 high concentrations
    63 humid weather
    64 humid weather conditions
    65 industry
    66 levels
    67 main weather factors
    68 mathematical model
    69 model
    70 mycotoxin accumulation
    71 mycotoxin deoxynivalenol
    72 oat grain
    73 oat grain samples
    74 oats
    75 period
    76 phenological window
    77 potential food safety problems
    78 prediction
    79 prediction model
    80 problem
    81 risk
    82 risk of deoxynivalenol
    83 safety problems
    84 samples
    85 stage
    86 study
    87 summarisation
    88 system
    89 tillering
    90 treatment
    91 warning system
    92 weather
    93 weather conditions
    94 weather data
    95 weather factors
    96 window
    97 schema:name DON content in oat grains in Norway related to weather conditions at different growth stages
    98 schema:pagination 577-594
    99 schema:productId N13f4fa89bba44782ac26e3fe80b8a924
    100 N7fe5c7febde047f3bb23351e8fc4157b
    101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016178370
    102 https://doi.org/10.1007/s10658-016-1113-5
    103 schema:sdDatePublished 2022-05-20T07:32
    104 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    105 schema:sdPublisher N47b87fd887fc4e4a97ade8bdfe9b4210
    106 schema:url https://doi.org/10.1007/s10658-016-1113-5
    107 sgo:license sg:explorer/license/
    108 sgo:sdDataset articles
    109 rdf:type schema:ScholarlyArticle
    110 N13421deeca8647f2a5eb85bb3e8b6692 schema:issueNumber 3
    111 rdf:type schema:PublicationIssue
    112 N13f4fa89bba44782ac26e3fe80b8a924 schema:name dimensions_id
    113 schema:value pub.1016178370
    114 rdf:type schema:PropertyValue
    115 N1a38f52d5856489eb1214e7be9bd8242 rdf:first sg:person.016215117021.22
    116 rdf:rest Ncec2b77623f54df0b391690ebee5cb62
    117 N423b5352f16d46f1ad00377d4037bde1 rdf:first sg:person.0661744763.89
    118 rdf:rest N4e59b29429824ce69c1b42f307dfa78e
    119 N4721e0e0d92544b29526161af0e24fab rdf:first sg:person.014670271221.46
    120 rdf:rest N924b5facbe2749818d23834560553c19
    121 N47b87fd887fc4e4a97ade8bdfe9b4210 schema:name Springer Nature - SN SciGraph project
    122 rdf:type schema:Organization
    123 N4e59b29429824ce69c1b42f307dfa78e rdf:first sg:person.01162336443.35
    124 rdf:rest N4721e0e0d92544b29526161af0e24fab
    125 N794a9f63466845dc9362d77b281bf606 rdf:first sg:person.01215012675.82
    126 rdf:rest rdf:nil
    127 N7f2842d6b85f4c03a72e39b7649dd47a rdf:first sg:person.0667407343.92
    128 rdf:rest N97adf48e05474d71bf8fe233dc38bb20
    129 N7fe5c7febde047f3bb23351e8fc4157b schema:name doi
    130 schema:value 10.1007/s10658-016-1113-5
    131 rdf:type schema:PropertyValue
    132 N924b5facbe2749818d23834560553c19 rdf:first sg:person.0751400131.63
    133 rdf:rest N7f2842d6b85f4c03a72e39b7649dd47a
    134 N97adf48e05474d71bf8fe233dc38bb20 rdf:first sg:person.01362525423.53
    135 rdf:rest N794a9f63466845dc9362d77b281bf606
    136 Ncec2b77623f54df0b391690ebee5cb62 rdf:first sg:person.01104042005.97
    137 rdf:rest N423b5352f16d46f1ad00377d4037bde1
    138 Nf8c044e127ac4ab18860901a9ba2d47e schema:volumeNumber 148
    139 rdf:type schema:PublicationVolume
    140 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    141 schema:name Agricultural and Veterinary Sciences
    142 rdf:type schema:DefinedTerm
    143 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
    144 schema:name Crop and Pasture Production
    145 rdf:type schema:DefinedTerm
    146 sg:grant.4644896 http://pending.schema.org/fundedItem sg:pub.10.1007/s10658-016-1113-5
    147 rdf:type schema:MonetaryGrant
    148 sg:grant.4676892 http://pending.schema.org/fundedItem sg:pub.10.1007/s10658-016-1113-5
    149 rdf:type schema:MonetaryGrant
    150 sg:journal.1023051 schema:issn 0929-1873
    151 1573-8469
    152 schema:name European Journal of Plant Pathology
    153 schema:publisher Springer Nature
    154 rdf:type schema:Periodical
    155 sg:person.01104042005.97 schema:affiliation grid-institutes:grid.454322.6
    156 schema:familyName Torp
    157 schema:givenName Torfinn
    158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104042005.97
    159 rdf:type schema:Person
    160 sg:person.01162336443.35 schema:affiliation grid-institutes:grid.454322.6
    161 schema:familyName Aamot
    162 schema:givenName Heidi Udnes
    163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162336443.35
    164 rdf:type schema:Person
    165 sg:person.01215012675.82 schema:affiliation grid-institutes:grid.454322.6
    166 schema:familyName Hofgaard
    167 schema:givenName Ingerd Skow
    168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215012675.82
    169 rdf:type schema:Person
    170 sg:person.01362525423.53 schema:affiliation grid-institutes:grid.417899.a
    171 schema:familyName Edwards
    172 schema:givenName Simon G.
    173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362525423.53
    174 rdf:type schema:Person
    175 sg:person.014670271221.46 schema:affiliation grid-institutes:None
    176 schema:familyName Strand
    177 schema:givenName Einar
    178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014670271221.46
    179 rdf:type schema:Person
    180 sg:person.016215117021.22 schema:affiliation grid-institutes:grid.454322.6
    181 schema:familyName Hjelkrem
    182 schema:givenName Anne-Grete Roer
    183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016215117021.22
    184 rdf:type schema:Person
    185 sg:person.0661744763.89 schema:affiliation grid-institutes:grid.454322.6
    186 schema:familyName Brodal
    187 schema:givenName Guro
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661744763.89
    189 rdf:type schema:Person
    190 sg:person.0667407343.92 schema:affiliation grid-institutes:grid.17635.36
    191 schema:familyName Dill-Macky
    192 schema:givenName Ruth
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667407343.92
    194 rdf:type schema:Person
    195 sg:person.0751400131.63 schema:affiliation grid-institutes:grid.454322.6
    196 schema:familyName Nordskog
    197 schema:givenName Berit
    198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751400131.63
    199 rdf:type schema:Person
    200 sg:pub.10.1007/978-1-4757-3071-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049195233
    201 https://doi.org/10.1007/978-1-4757-3071-5
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1007/bf00037120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005833269
    204 https://doi.org/10.1007/bf00037120
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1007/s00216-015-8676-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051225174
    207 https://doi.org/10.1007/s00216-015-8676-4
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1007/s10584-006-9156-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022087214
    210 https://doi.org/10.1007/s10584-006-9156-9
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1007/s10658-011-9888-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035654697
    213 https://doi.org/10.1007/s10658-011-9888-x
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1007/s10658-012-9968-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019536701
    216 https://doi.org/10.1007/s10658-012-9968-6
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1007/s10658-013-0280-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042022254
    219 https://doi.org/10.1007/s10658-013-0280-x
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1007/s10658-015-0598-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018537328
    222 https://doi.org/10.1007/s10658-015-0598-7
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1007/s12161-008-9051-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018730436
    225 https://doi.org/10.1007/s12161-008-9051-2
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1007/s12161-009-9078-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1019053495
    228 https://doi.org/10.1007/s12161-009-9078-z
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1023/a:1024712415326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000233272
    231 https://doi.org/10.1023/a:1024712415326
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1023/a:1026022223359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019672468
    234 https://doi.org/10.1023/a:1026022223359
    235 rdf:type schema:CreativeWork
    236 grid-institutes:None schema:alternateName Norwegian Agricultural Extension Service, Osloveien 1, 1430, Ås, Norway
    237 schema:name Norwegian Agricultural Extension Service, Osloveien 1, 1430, Ås, Norway
    238 Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, Ås, Norway
    239 rdf:type schema:Organization
    240 grid-institutes:grid.17635.36 schema:alternateName Department of Plant Pathology, University of Minnesota, 495 Borlaug Hall, 1991 Upper Buford Circle, 55108, St Paul, MN, USA
    241 schema:name Department of Plant Pathology, University of Minnesota, 495 Borlaug Hall, 1991 Upper Buford Circle, 55108, St Paul, MN, USA
    242 rdf:type schema:Organization
    243 grid-institutes:grid.417899.a schema:alternateName Crop and Environment Sciences Department, Harper Adams University, TF10 8NB, Newport, Shropshire, UK
    244 schema:name Crop and Environment Sciences Department, Harper Adams University, TF10 8NB, Newport, Shropshire, UK
    245 rdf:type schema:Organization
    246 grid-institutes:grid.454322.6 schema:alternateName Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, Ås, Norway
    247 schema:name Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431, Ås, Norway
    248 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...