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A Novel CO2-Based Insect Sampling Device and Associated Field Method Evaluated in a Strawberry Agroecosystem.

Emily Bick1,2, Daniel M Dryden3, Hoang Danh Nguyen1

  • 1Department of Entomology and Nematology, UC Davis Briggs Hall, Davis, CA.

Journal of Economic Entomology
|January 8, 2020
PubMed
Summary

A new carbon dioxide (CO2) insect sampling device effectively anesthetizes pests like Lygus hesperus. This method improves collection of beneficial insects and reduces plant damage compared to traditional sampling techniques.

Keywords:
carbon dioxideinsect monitoringintegrated pest managementsampling methodwestern tarnished plant bug

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Area of Science:

  • Agricultural Entomology
  • Pest Management
  • Insect Ecology

Background:

  • Current insect sampling methods (aspirators, sweep nets) can bias results and damage plants.
  • Accurate insect sampling is crucial for effective integrated pest management (IPM).

Purpose of the Study:

  • To evaluate a novel insect sampling device utilizing carbon dioxide (CO2) for anesthetization.
  • To determine the optimal CO2 application pressure and exposure duration for Lygus hesperus anesthetization.
  • To compare the efficacy of the CO2 method with a portable aspirator in a strawberry agroecosystem.

Main Methods:

  • Laboratory experiments tested CO2 effects on Lygus hesperus anesthetization.
  • Field trials compared the CO2 method to a portable aspirator for insect community sampling in strawberries.
  • CO2 application pressure and exposure duration were systematically varied.

Main Results:

  • CO2 application was effective for anesthetization, with increased exposure reducing time to effect.
  • The CO2 method collected significantly more parasitoids and thrips than a portable aspirator.
  • At 50 PSI and 15-s exposure, the CO2 method collected a comparable number of pests to the standard aspirator.

Conclusions:

  • The CO2 insect sampling device offers an effective alternative to traditional methods.
  • This novel method minimizes plant damage and provides precise spatial and temporal data.
  • The CO2 method is scalable and improves the collection of beneficial insects in agroecosystems.