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A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna

  • Enrico MombelliEmail author
  • Alexandre R. R. Pery
Article
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Abstract

Chronic toxicity data for Daphnia magna are information requirements in the context of regulations on chemical safety. This paper proposes a linear model for the prediction of chemically-induced effects on the reproductive output of D. magna. This model is based on data retrieved from the Japanese Ministry of Environment database and it predicts chronic effects as a function of acute toxicity data. The proposed model proved to be able to predict chronic toxicities for chemicals not used in the training set. Our results suggest that experiments involving chronic exposure to chemicals could be reduced thanks to the proposed model.

Keywords

Daphnia magna Chronic toxicity Acute toxicity Predictive model OECD (Q)SAR Toolbox 

Notes

Acknowledgments

This work was supported by the National Research Agency (ANR) within the project AMORE (Contract number: 2009 CESA 15 01) and by the French Ministry in charge of Ecology and Sustainable Development, within the framework of Programmes 189 and 190.

Supplementary material

128_2011_393_MOESM1_ESM.doc (284 kb)
Supplementary material 1 (DOC 283 kb)

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Unité Modèles Pour l’Ecotoxicologie et la Toxicologie (METO)Institut National de l’Environnement Industriel et des Risques (INERIS)Verneuil en HalatteFrance

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