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


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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
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