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

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...

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Bibliographic Details
Published in:Food and chemical toxicology 2009-05, Vol.47 (5), p.927-931
Main Authors: Prandini, A., Sigolo, S., Filippi, L., Battilani, P., Piva, G.
Format: Article
Language:English
Subjects:
ambient temperature
blight
computer analysis
crop losses
deoxynivalenol
environmental factors
FHB
field crops
flowering
Food Contamination - analysis
Food Microbiology
food pathogens
Fusarium
Fusarium - growth & development
Fusarium - metabolism
head blight
mathematical models
Models, Biological
molds (fungi)
Mycotoxins
Plant Diseases - microbiology
plant pathogenic fungi
plant stress
postharvest diseases
predictive microbiology
Predictive models
Predictive Value of Tests
rain
secondary metabolites
toxigenic strains
Trichothecenes - analysis
Trichothecenes - biosynthesis
Triticum - chemistry
Triticum - microbiology
Triticum aestivum
water content
Weather
Wheat
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Summary: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.
ISSN:0278-6915
1873-6351
DOI:10.1016/j.fct.2008.06.010