4.4 Article

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

期刊

EUROPEAN JOURNAL OF PLANT PATHOLOGY
卷 148, 期 3, 页码 577-594

出版社

SPRINGER
DOI: 10.1007/s10658-016-1113-5

关键词

Deoxynivalenol; Phenological development; Spearman rank correlation factor

资金

  1. Research Council of Norway [173277/I10, 199412/I99]
  2. Foundation for Research Levy on Agricultural Products/Agricultural Agreement Research Fund
  3. Felleskjopet Agri
  4. Nordisk Korn/Fiska Molle
  5. Norgesfor/Strand Unikorn
  6. Bayer Crop Science
  7. Felleskjopet Rogaland og Agder
  8. Norgesmollene, Braskereidfoss Kornsilo
  9. Flisa Molle og Kornsilo
  10. Norkorn
  11. Lantmannen Cerealia
  12. NIBIO

向作者/读者索取更多资源

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.

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