Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies
Authored by Pierre Stratonovitch, Jan Elias, Ian Denholm, Russell Slater, Mikhail A Semenov
Date Published: 2017
DOI: 10.1002/ps.4456
Sponsors:
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Model Documentation:
Other Narrative
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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-basedmodel of resistance
evolution to simulate howstrategies 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
inwhich compoundswere 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 strategymeets 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, aswell as understanding needs and
opportunities offered by newcontrol techniques. (C) 2016 Society of
Chemical Industry
Tags
Evolution
Computer simulation
Individual-based modelling
Efficacy
Insecticide resistance
Pollen beetle
Genetics
Tactics
Resistance management
Meligethes aeneus
Insecticide
mixtures
Managing pesticide resistance
Meligethes-aeneus f
Brassica-napus l
European populations
Mixtures