Variability in Nontarget Terrestrial Plant Studies Should Inform Endpoint Selection

Autor: Kimberly Ralston-Hooper, John W. Green, Nathan Ehresman, Josie Nusz, Richard A. Brain, Tiffany Kung, Brad Glenn, Kevin Henry, Faith Kee, Matt Kern, Steve McMaster, Dan Edwards, Andrew M Deines, Jane P. Staveley
Rok vydání: 2018
Předmět:
Zdroj: Integrated Environmental Assessment and Management. 14:639-648
ISSN: 1551-3777
Popis: Inherent variability in nontarget terrestrial plant (NTTP) testing of pesticides creates challenges for using and interpreting these data for risk assessment. Standardized NTTP testing protocols were initially designed to calculate the application rate causing a 25% effect (ER25, used in the United States) or a 50% effect (ER50, used in Europe) for various measures based on the observed dose-response. More recently, the requirement to generate a no-observed-effect rate (NOER), or, in the absence of an NOER, the rate causing a 5% effect (ER05), has raised questions about the inherent variability in, and statistical detectability of, these tests. Statistically significant differences observed between test and control groups may be a product of this inherent variability and may not represent biological relevance. Attempting to derive an ER05 and the associated risk-assessment conclusions drawn from these values can overestimate risk. To address these concerns, we evaluated historical data from approximately 100 seedling emergence and vegetative vigor guideline studies on pesticides to assess the variability of control results across studies for each plant species, examined potential causes for the variation in control results, and defined the minimum percent effect that can be reliably detected. The results indicate that with current test design and implementation, the ER05 cannot be reliably estimated. Integr Environ Assess Manag 2018;14:639-648. © 2018 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Databáze: OpenAIRE