Limitations to use of topical toxicity data for predictions of pesticide side effects in the field

We consider ways in which laboratory-derived toxicity data might be used to predict the safety of insecticides to beneficial invertebrates. A model test system consisting of a predator, the convergent lady beetle, Hippodamia convergens Guerin-Meneville (larvae and adults); a parasitoid, Aphidius erv...

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Bibliographic Details
Published inJournal of economic entomology Vol. 88; no. 5
Main Authors Stark, J.D. (Washington State University, Puyallup, WA.), Jepson, P.C, Mayer, D.F
Format Journal Article
LanguageEnglish
Published 01.10.1995
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Summary:We consider ways in which laboratory-derived toxicity data might be used to predict the safety of insecticides to beneficial invertebrates. A model test system consisting of a predator, the convergent lady beetle, Hippodamia convergens Guerin-Meneville (larvae and adults); a parasitoid, Aphidius ervi Haliday; and the bee species Apis mellifera L., Megachile rotundata (F.), and Nomia melanderi (Cockerell) was tested with diazinon, imidacloprid, and RH-7988 [ethyl (3-tert-butyl-1-dimethyl carbamoyl-1H-1,24-triazol-5-ylthio) acetate]. We also tested the pea aphid, Acyrthosiphon pisum (Harris), to calculate selectivity ratios for these beneficial species, which coexist with the aphid pest in Washington State pea and alfalfa ecosystems. Topical toxicity was estimated for all species and ranged 0.0002-0.45 micrograms per insect for diazinon, 0.000031-0.04 micrograms per insect for imidacloprid, and 0.0015-6.11 micrograms per insect for RH-7988. Selectivity ratios based on these values spanned 0.02-47.4, 12.9-1,290.3, and 13.3-4,073 for diazinon, imidacloprid, and RH-7988, respectively. Risk assessment indices based on probit substitution (estimate of mortality of beneficial species at LD90 for the pest) and 2 standard methods for bees, a sequential testing scheme and a hazard index gave variable predictions of the compatibility of these compounds with integrated pest management. We conclude that predictive methods must advance to consider relative exposure rates to pesticides, aspects of chemical fate, and behavior of the organisms concerned if they are to be useful. Above all, predictions must be validated with field data
Bibliography:9621095
L74
U10
H10
ISSN:0022-0493
1938-291X
DOI:10.1093/jee/88.5.1081