Predicting the aquatic toxicity of commercial pesticide mixtures

被引：43

作者：

Coors A. ^{[1
]}

Frische T. ^{[1
]}

机构：

[1] ECT Oekotoxikologie GmbH, 65439 Flörsheim

来源：

Environmental Sciences Europe | 2011年 / 23卷 / 01期

关键词：

Combination Product; Mixture Toxicity; Plant Protection Product; Fenpropimorph; Algal Growth Inhibition;

D O I：

10.1186/2190-4715-23-22

中图分类号：

学科分类号：

摘要：

Background: Previous studies reported on a large (> 80%) compliance between the observed toxicity of pesticide mixtures and their toxicity as predicted by the concept of concentration addition (CA). The present study extents these findings to commercially sold and frequently applied pesticide mixtures by investigating whether the aquatic toxicity of 66 herbicidal and 53 fungicidal combination products, i.e., authorized plant protection products that contain two or more active substances, can reliably be predicted by CA. Results: In more than 50% of cases, the predicted and observed mixture toxicity deviated by less than factor 2. An indication for a synergistic interaction was only detected with regard to algal growth inhibition for mixtures of fungicides that inhibit different enzymes of ergosterol biosynthesis. The greatest degree of compliance between prediction and observation was found for the acute toxicity of fungicidal products towards Daphnia and fish, while the greatest degree of underestimation of product toxicity occurred for the acute toxicity of herbicidal products towards Daphnia and fish. Using the lowest available toxicity measures within taxonomic groups as the most conservative approach resulted in a bias towards overestimation of product toxicity, but did not eliminate cases of considerable underestimation of product toxicity. Conclusions: The results suggest that the CA concept can be applied to predict the aquatic toxicity of commercial pesticide mixtures using the heterogeneous data typically available in a risk assessment context for a number of clearly identified combinations of test species and pesticide types with reasonably small uncertainty. © 2011 Coors and Frische; licensee Springer.

引用

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