DON content in oat grains in Norway related to weather conditions at different growth stages
Autor: | Ingerd Skow Hofgaard, Berit Nordskog, Heidi Udnes Aamot, Torfinn Torp, Ruth Dill-Macky, Simon G. Edwards, Guro Brodal, Anne Grete Roer Hjelkrem, Einar Strand |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
0301 basic medicine biology business.industry Phenology Plant Science Horticulture biology.organism_classification 01 natural sciences Fungicide 03 medical and health sciences chemistry.chemical_compound 030104 developmental biology chemistry Agronomy Vomitoxin Germination Agriculture Seedling Early prediction business Mycotoxin Agronomy and Crop Science 010606 plant biology & botany |
Zdroj: | European journal of plant pathology |
ISSN: | 1573-8469 0929-1873 |
Popis: | 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 myco-toxin 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 esti- mate phenology windows of growth stages in oats (til- lering, 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 har- vest. 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 accumu- lation. 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. |
Databáze: | OpenAIRE |
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