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Enumerative and binomial sequential sampling plans for soybean aphid (Homoptera: Aphididae) in soybean
E W Hodgson1, E C Burkness, W D Hutchison
1Department of Entomology, 219 Hodson Hall, University of Minnesota, St. Paul, MN 55108, USA.
Journal of Economic Entomology
|January 26, 2005
Summary
Two sampling plans were developed to estimate soybean aphid (Aphis glycines) densities in fields. The binomial plan offers a practical approach for integrated pest management (IPM), requiring fewer samples for accurate decision-making.
Area of Science:
- Agricultural Entomology
- Pest Management
Background:
- Soybean aphid (Aphis glycines) is a significant economic pest in U.S. soybean (Glycine max) fields since its 2000 discovery.
- Lack of established methods for estimating soybean aphid population density hinders effective management.
Purpose of the Study:
- To develop efficient sampling plans for characterizing soybean aphid densities in soybean fields.
- To provide tools for both research applications and integrated pest management (IPM) decision-making.
Main Methods:
- Developed and validated enumerative and binomial sequential sampling plans using data from 89 field samples (2001-2003).
- Utilized Taylor's power law for enumerative plan validation and resampling software.
- Developed binomial plans with specific tally and action thresholds for IPM applications.
Main Results:
- An enumerative plan for research achieved 0.10 precision with an average of 310 plants sampled.
- An enumerative plan for IPM achieved 0.25 precision with an average of 38 plants sampled.
- A binomial plan with a tally threshold of >= 40 aphids/plant and an action threshold of 84% infestation provided optimal treat/no-treat decisions with minimal errors, requiring only 11 plants.
Conclusions:
- The developed binomial sampling plan is practical for IPM, enabling efficient and accurate soybean aphid management decisions.
- The recommended binomial plan threshold aligns with the economic threshold of 250 aphids/plant.