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Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in
Dustin Severtson1, Ken Flower2, Christian Nansen3
1School of Animal Biology and The UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, Western Australia 6151, Australia dustin.severtson@research.uwa.edu.au.
Optimized sampling plans are crucial for managing cabbage aphids (Brevicoryne brassicae) in canola. A new spatially optimized sequential sampling method accurately assesses aphid densities, guiding targeted pesticide use and reducing environmental impact.
Area of Science:
- Agricultural Entomology
- Pest Management
- Crop Science
Background:
- Cabbage aphid (Brevicoryne brassicae) is a major pest in brassica crops like canola.
- Insecticide resistance in cabbage aphids necessitates targeted application strategies.
- Accurate sampling plans are essential for timely and effective pest management decisions.
Purpose of the Study:
- To develop a spatially optimized binomial sequential sampling plan for cabbage aphids in canola.
- To establish action thresholds based on the proportion of infested plants.
- To improve the accuracy and efficiency of pest density assessments.
Main Methods:
- Development of a binomial sequential sampling plan incorporating spatial optimization.
- Utilizing five canola fields for data collection and plan validation.
- Implementing stratification techniques to address edge effects and field size variability.
Main Results:
- The developed sampling plan requires an average of 10-25 plant samples for decision-making.
- Reducing acceptable error from 10% to 5% significantly increased sample requirements.
- Spatially optimized sampling, starting at field edges, reduced variability and improved density estimates.
Conclusions:
- The proposed spatially optimized sequential sampling plan enhances the accuracy of cabbage aphid density estimation in canola.
- This plan facilitates targeted insecticide applications, leading to cost savings and reduced environmental impact.
- The method aids in mitigating insecticide resistance and conserving beneficial insects.
