Literature DB >> 27734572

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

Russell Slater1, Pierre Stratonovitch2, Jan Elias1, Mikhail A Semenov2, Ian Denholm3.   

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. © 2016 Society of Chemical Industry.

Entities:  

Keywords:  Meligethes aeneus; computer simulation; individual-based modelling; insecticide mixtures; insecticide resistance; pollen beetle; resistance management

Mesh:

Substances:

Year:  2016        PMID: 27734572     DOI: 10.1002/ps.4456

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  3 in total

1.  Evolution of resistance under alternative models of selective interference.

Authors:  Philip G Madgwick; Ricardo Kanitz
Journal:  J Evol Biol       Date:  2021-09-25       Impact factor: 2.516

2.  Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management.

Authors:  David Comont; Claudia Lowe; Richard Hull; Laura Crook; Helen L Hicks; Nawaporn Onkokesung; Roland Beffa; Dylan Z Childs; Robert Edwards; Robert P Freckleton; Paul Neve
Journal:  Nat Commun       Date:  2020-06-18       Impact factor: 14.919

3.  Insights from agriculture for the management of insecticide resistance in disease vectors.

Authors:  Eleanore D Sternberg; Matthew B Thomas
Journal:  Evol Appl       Date:  2017-06-29       Impact factor: 5.183

  3 in total

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