Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies

A - Papers appearing in refereed journals

Slater, R., Stratonovitch, P., Elias, J., Semenov, M. A. and Denholm, I. 2017. Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies. Pest Management Science. 73 (7), pp. 1364-1372.

AuthorsSlater, R., Stratonovitch, P., Elias, J., Semenov, M. A. and Denholm, I.
Abstract

BACKGROUND: Tools with the potential to predict risks of insecticide resistance and aid the evaluation and design of resistance management tactics are of value to all sectors of the pest management community. Here we describe use of a versatile individual-based model of resistance evolution to simulate how strategies employing single and multiple insecticides influence resistance development in the pollen beetle, Meligethes aeneus. RESULTS: Under repeated exposure to a single insecticide, resistance evolved faster to a pyrethroid (lambda-cyhalothrin) than to a pyridine azomethane (pymetrozine), due to difference in initial efficacy. A mixture of these compounds delayed resistance compared to use of single products. The effectiveness of rotations depended on the sequence in which compounds were applied in response to pest density thresholds. Effectiveness of a mixture strategy declined with reductions in grower compliance. At least 50% compliance was needed to cause some delay in resistance development. CONCLUSION: No single strategy meets all requirements for managing resistance. It is important to evaluate factors that prevail under particular pest management scenarios. The model used here provides operators with a valuable means for evaluating and extending sound resistance management advice, as well as understanding needs and opportunities offered by new control techniques. © 2016 Society of Chemical Industry

Keywords
Year of Publication2017
JournalPest Management Science
Journal citation73 (7), pp. 1364-1372
Digital Object Identifier (DOI)doi:10.1002/ps.4456
PubMed ID27734572
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Publisher's versionSlater_et_al-2016-Pest_Management_Science.pdf
Output statusPublished
Publication dates
Online12 Oct 2016
Publication process dates
Accepted07 Oct 2016
Copyright licenseCC BY
ISSN15264998
PublisherWiley
Grant IDBBS/E/C/00004938

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