Abstract
Climate change has been reported as a driver for emerging food and feed safety issues worldwide and
its expected impact on the presence of mycotoxins in food and feed is of great concern. Aflatoxins
have the highest acute and chronic toxicity of all mycotoxins; hence, the maximal concentration in
agricultural food and feed products and their commodities is regulated worldwide. The possible change
in patterns of aflatoxin occurrence in crops due to climate change is a matter of concern that may
require anticipatory actions. The aim of this study was to predict aflatoxin contamination in maize and
wheat crops, within the next 100 years, under a +2 °C and +5 °C climate change scenario, applying a
modelling approach. Europe was virtually covered by a net, 50 × 50 km grids, identifying 2254 meshes
with a central point each. Climate data were generated for each point, linked to predictive models and
predictions were run consequently. Aflatoxin B1 is predicted to become a food safety issue in maize in
Europe, especially in the +2 °C scenario, the most probable scenario of climate change expected for the
next years. These results represent a supporting tool to reinforce aflatoxin management and to prevent
human and animal exposure.
Lingua originale | English |
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pagine (da-a) | 1-7 |
Numero di pagine | 7 |
Rivista | Scientific Reports |
Volume | 6 |
DOI | |
Stato di pubblicazione | Pubblicato - 2016 |
Keywords
- Climate change
- Maize
- Predective model