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Using phenology models to estimate insecticide effects on population dynamics: examples from codling moth and
1Department of Entomology, Tree Fruit Research and Extension Center, Washington State University, Wenatchee, WA, USA.
Pest Management Science
|October 3, 2020
Summary
Modified phenology models help assess insecticide effectiveness for codling moth and leafroller control. Simulations reveal optimal management timings and highlight intergenerational impacts for pest control strategies.
Area of Science:
- Agricultural Entomology
- Pest Management Modeling
Background:
- Degree-day phenology models were adapted to simulate insecticide impacts on codling moth (Cydia pomonella) and obliquebanded leafroller (Choristoneura rosaceana).
- Models incorporate population stage structure, allowing simulation of stage-specific mortality from various pesticide types and application regimes.
- Reproduction, intergenerational effects, and combined insecticide treatments are integrated for comprehensive analysis.
Purpose of the Study:
- To develop and apply modified phenology models for estimating insecticide efficacy against key lepidopteran pests.
- To simulate the effects of different insecticide applications, including ovicides and larvicides, on pest populations.
- To assess the impact of insecticide treatments in conjunction with other management tactics like mating disruption.
Main Methods:
- Utilized degree-day based phenology models to track pest development stages throughout the season.
- Applied stage-specific mortality rates to simulate the effects of various insecticide applications (ovicides, larvicides, organic, conventional).
- Compared simulated treated populations against untreated controls to evaluate overall treatment program effectiveness.
Main Results:
- Identified distinct optimal windows for pest management interventions.
- Demonstrated that insecticide applications can have minor effects on population growth during certain periods.
- Highlighted the significant influence of intergenerational effects on optimal treatment timing for subsequent generations.
Conclusions:
- The developed models are valuable tools for evaluating current pest management strategies.
- Models facilitate testing improvements in treatment timings to enhance efficacy and cost-effectiveness.
- Simulation results aid in reducing non-target effects by optimizing pesticide application strategies.
