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Related Experiment Video

Updated: Jul 11, 2026

Maintaining Biological Cultures and Measuring Gene Expression in Aphis nerii: A Non-model System for Plant-insect Interactions
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Economic threshold for soybean aphid (Hemiptera: Aphididae).

D W Ragsdale1, B P McCornack, R C Venette

  • 1Department of Entomology, University of Minnesota, 219 Hodson Hall, 1980 Folwell Avenue, St. Paul, MN 55108, USA. ragsd001@umn.edu

Journal of Economic Entomology
|September 14, 2007
PubMed
Summary

The soybean aphid (Aphis glycines) is a major pest in North America. This study establishes an economic threshold (ET) of 273 aphids per plant, offering a 7-day warning before reaching the economic injury level (EIL).

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Area of Science:

  • Agricultural Entomology
  • Pest Management
  • Crop Protection

Background:

  • Soybean aphid (Aphis glycines) is a significant pest impacting soybean (Glycine max) production in the North Central region of the U.S. and Canada.
  • Previous outbreaks in 2003 and 2005 highlighted the need for effective management strategies.

Purpose of the Study:

  • To determine a reliable economic threshold (ET) for soybean aphid management.
  • To provide a predictive tool for timely intervention against aphid infestations.

Main Methods:

  • Data from 19 yield-loss experiments across six states over three years were analyzed.
  • Population doubling times, economic thresholds (ET), and economic injury levels (EIL) were calculated.
  • Aphid densities were correlated with soybean growth stages.

Main Results:

  • Average soybean aphid population doubling time was 6.8 days.
  • The average economic threshold (ET) was determined to be 273 aphids per plant.
  • This ET provides a 7-day lead time before populations reach the economic injury level (EIL) of 674 aphids per plant.
  • Peak aphid densities occurred between soybean growth stages R3 and R5.

Conclusions:

  • The established economic threshold (ET) of 273 aphids per plant is supported through soybean growth stage R5.
  • Setting lower thresholds risks unnecessary treatments, disrupts natural predator populations, and accelerates insecticide resistance.
  • This research provides a data-driven approach for optimizing soybean aphid control strategies.