Large-scale, spatially-explicit test of the refuge strategy for delaying insecticide resistance

Yves Carrière; Christa Ellers-Kirk; Kyle Hartfield; Guillaume Larocque; Ben Degain; Pierre Dutilleul; Timothy J Dennehy; Stuart E Marsh; David W Crowder; Xianchun Li; Peter C Ellsworth; Steven E Naranjo; John C Palumbo; Al Fournier; Larry Antilla; Bruce E Tabashnik

doi:10.1073/pnas.1117851109

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Large-scale, spatially-explicit test of the refuge strategy for delaying insecticide resistance

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Large-scale, spatially-explicit test of the refuge strategy for delaying insecticide resistance

Yves Carrière, Christa Ellers-Kirk, Kyle Hartfield, Guillaume Larocque, Ben Degain, Pierre Dutilleul, Timothy J Dennehy, Stuart E Marsh, David W Crowder, Xianchun Li, …

Proceedings of the National Academy of Sciences - PNAS, Vol.109(3), pp.775-780

01/17/2012

DOI: https://doi.org/10.1073/pnas.1117851109

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https://hdl.handle.net/2376/109923

PMCID: PMC3271916

PMID: 22215605

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Abstract

pesticide resistance

predictive evolutionary models

Biological Sciences

pest management

resistance management

The refuge strategy is used worldwide to delay the evolution of pest resistance to insecticides that are either sprayed or produced by transgenic Bacillus thuringiensis (Bt) crops. This strategy is based on the idea that refuges of host plants where pests are not exposed to an insecticide promote survival of susceptible pests. Despite widespread adoption of this approach, large-scale tests of the refuge strategy have been problematic. Here we tested the refuge strategy with 8 y of data on refuges and resistance to the insecticide pyriproxyfen in 84 populations of the sweetpotato whitefly ( Bemisia tabaci ) from cotton fields in central Arizona. We found that spatial variation in resistance to pyriproxyfen within each year was not affected by refuges of melons or alfalfa near cotton fields. However, resistance was negatively associated with the area of cotton refuges and positively associated with the area of cotton treated with pyriproxyfen. A statistical model based on the first 4 y of data, incorporating the spatial distribution of cotton treated and not treated with pyriproxyfen, adequately predicted the spatial variation in resistance observed in the last 4 y of the study, confirming that cotton refuges delayed resistance and treated cotton fields accelerated resistance. By providing a systematic assessment of the effectiveness of refuges and the scale of their effects, the spatially explicit approach applied here could be useful for testing and improving the refuge strategy in other crop–pest systems.

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Title: Large-scale, spatially-explicit test of the refuge strategy for delaying insecticide resistance
Creators: Yves Carrière - Department of Entomology
Christa Ellers-Kirk - Department of Entomology
Kyle Hartfield - Arizona Remote Sensing Center
Guillaume Larocque - Department of Plant Science
Ben Degain - Department of Entomology
Pierre Dutilleul - Department of Plant Science
Timothy J Dennehy - Global Insecticide Resistance Management
Stuart E Marsh - Arizona Remote Sensing Center
David W Crowder - Department of Entomology
Xianchun Li - Department of Entomology
Peter C Ellsworth - Department of Entomology
Steven E Naranjo - US Department of Agriculture-Agriculture Research Service
John C Palumbo - Department of Entomology
Al Fournier - Department of Entomology
Larry Antilla - , Phoenix, AZ 85040
Bruce E Tabashnik - Department of Entomology
Publication Details: Proceedings of the National Academy of Sciences - PNAS, Vol.109(3), pp.775-780
Academic Unit: Entomology, Department of
Publisher: National Academy of Sciences
Identifiers: 99900547300901842
Language: English
Resource Type: Journal article