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Use of an individual‐based simulation model to explore and evaluate potential insecticide resistance management strategies
Author(s) -
Slater Russell,
Stratonovitch Pierre,
Elias Jan,
Semenov Mikhail A,
Denholm Ian
Publication year - 2017
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.4456
Subject(s) - pest analysis , resistance (ecology) , integrated pest management , insecticide resistance , risk analysis (engineering) , toxicology , management strategy , microbiology and biotechnology , biology , computer science , biochemical engineering , business , ecology , marketing , engineering , business administration
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