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Review of predictive models for Fusarium head blight and related mycotoxin contamination in wheat

Journal

FOOD AND CHEMICAL TOXICOLOGY
Volume 47, Issue 5, Pages 927-931

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.fct.2008.06.010

Keywords

FHB; Mycotoxins; Predictive models; Wheat

Funding

  1. Promoting Food Safety through a New Integrated Risk Analysis Approach for Foods (SAFE FOODS) [Food-CT-2004-506446]

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Mould growth and mycotoxin production are related to plant stress caused by environmental factors Such as: extreme weather: insect damage; inadequate storage conditions and incorrect fertilization: these predispose plants to mycotoxin contamination in the field. Fusarium species infect wheat during the flowering period. In addition to losses of yield, these fungi can also synthesize toxic components (mycotoxins) in suitable environmental conditions, thus threatening animal and human health. Given the severe consequences and the fact that mycotoxins affect production throughout the world, the ability to predict Fusarium head blight (FHB) and deoxynivalenol (DON) and other mycotoxin contamination is important to reduce the year-to-year risk for producers. Owing to these dangerous consequences in Argentina, Belgium, Canada, Italy, the United States and in Europe, Computer models, based on weather variables (temperature, rainfall and moisture level), have been developed to predict the Occurrence of FHB and DON contamination in wheat. (C) 2008 Elsevier Ltd. All rights reserved.

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