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RECORD NUMBER: 73 OF 94

OLS Field Name OLS Field Data
Main Title Predicting Chronic Lethality of Chemicals to Fishes from Acute Toxicity Test Data: Concepts and Linear Regression Analysis. (Hazard Assessment).
Author Mayer, F. L. ; Krause, G. F. ; Buckler, D. R. ; Ellersieck, M. R. ; Lee, G. ;
CORP Author Environmental Research Lab., Gulf Breeze, FL. ;Missouri Agricultural Experiment Station, Columbia. ;National Fisheries Contaminant Research Center, Columbia, MO.
Publisher c1994
Year Published 1994
Report Number EPA/600/J-94/281;
Stock Number PB94-191079
Additional Subjects Toxicity ; Fishes ; Chronic exposure ; Regression analysis ; Acute exposure ; Concentration(Composition) ; Dose-response relationships ; Comparative evaluations ; Organic compounds ; Lethal dosage ; Growth ; Predictions ; Estimates ; Reprints ; AF(Application factor) ; ACR(Acute-to-chronic ratio) ; MATC(Maximum acceptable toxicant concentration) ; LC50(Lethal concentration)
Holdings
Library Call Number Additional Info Location Last
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NTIS  PB94-191079 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 11/11/1994
Collation 9p
Abstract
A comprehensive approach to predicting chronic toxicity from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect. A consistent endpoint (lethality) and degree of response (0%) were used to compare acute and chronic tests. Predicted no-effect concentrations were highly accurate 92% of the time (within a factor of 2.0 of the limits of the maximum acceptable toxicant concentrations for lethality) and did not vary by more than a factor of 4.8 when the technique was applied to a data base of 18 chemicals and 7 fish species. Growth effects can be predicted from chronic lethality, but reproductive effects should not be.