title: A linear model to predict chronic effects of chemicals on Daphnia magna.
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.
authors: Unité Modèles Pour l'Ecotoxicologie et la Toxicologie (METO), Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil en Halatte, France. enrico.mombelli@ineris.fr
authors: Enrico
authors: E
authors: Mombelli
authors: Alexandre R R
authors: AR
authors: Pery
mesh_terms: D000818:Animals; D003621:Daphnia / Q000187:drug effects*; D016014:Linear Models; D021281:Quantitative Structure-Activity Relationship; D036401:Toxicity Tests, Chronic / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000592:standards / Q000633:toxicity*
chemical_list: D014874:Water Pollutants, Chemical