Simulation of consumer exposure to deoxynivalenol according to wheat crop management and grain segregation: Case studies and methodological considerations
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4Unité de Mycologie (Anses
Laboratoire de la Santé des Végétaux
Unité de Mycologie
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Laboratoire de la Santé des Végétaux (Angers, Montpellier, Nancy, Rennes, Saint-Pierre de la Réunion, Clermont-Ferrand - Siège : 7, rue Jean Dixméras 49044 Angers Cedex 01 - France)
Abstract : We combined agronomic data and a model simulating exposure based on consumption data to assess the impact of crop management and grain segregation procedures on consumer exposure to deoxynivalenol. We used three scenarios of soil tillage at a regional scale and three scenarios of grain segregation for a supply area. The soil tillage scenarios were applied to a range of mean crop contamination levels, with various coefficients representing the degree of tillage. The grain segregation scenarios were applied to two real datasets of DON content distributions. We found that the increase in consumer exposure in response to increases in "risky" crop management practices such as direct-drilling depends largely on mean contamination and on the value of the tillage coefficient. The results for grain segregation procedures showed that exposure was most strongly affected by contamination distributions as the segregation procedure minimising risk differed for the two datasets.
https://hal-agroparistech.archives-ouvertes.fr/hal-01354876
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Submitted on : Friday, August 19, 2016 - 6:38:35 PM Last modification on : Friday, August 14, 2020 - 9:34:02 AM Long-term archiving on: : Sunday, November 20, 2016 - 11:01:24 AM
Marianne Le Bail, Philippe Verger, Thierry Doré, Jean-François Fourbet, Agnès Champeil, et al.. Simulation of consumer exposure to deoxynivalenol according to wheat crop management and grain segregation: Case studies and methodological considerations. Regulatory Toxicology and Pharmacology, Elsevier, 2005, 42 (3), pp.253-259. ⟨10.1016/j.yrtph.2005.04.001⟩. ⟨hal-01354876⟩