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Distribution and fixed-precision sampling plans for diamondback moth (Lepidoptera: Plutellidae), on winter-spring
Derick Nomuh Forbanka1, Mxolisi Arnold Stemele1, Lelethu Unathi-Nkosi Peter Heshula1
1Department of Zoology and Entomology, University of Fort Hare, Alice 5700, South Africa.
Developing effective sampling plans for diamondback moth (Plutella xylostella) significantly reduced insecticide use in cabbage farming. A single, reliable plan is practical across seasons, aiding integrated pest management.
Area of Science:
- Agricultural Entomology
- Pest Management
- Crop Protection
Background:
- Diamondback moth (Plutella xylostella) is a major pest of cabbage, leading to extensive insecticide application.
- Lack of standardized sampling plans necessitates indiscriminate pesticide use by farmers.
- Pest infestations cause significant yield losses across all cabbage growth stages.
Purpose of the Study:
- To develop fixed-precision sampling plans for Plutella xylostella management on winter-spring cabbage.
- To establish action thresholds (ATs) for P. xylostella based on population density.
- To evaluate the potential for a unified sampling plan across different growing seasons.
Main Methods:
- Population monitoring involved weekly counts of immature P. xylostella on 60 cabbage plants over 11 weeks for two seasons.
- The mean density-variance relationship was used to characterize pest distribution.
- Fixed-precision sampling plans and action thresholds were developed using infested plant counts.
Main Results:
- A high aggregation of P. xylostella was observed in spring compared to winter.
- An average of 35 plants were needed to estimate pest density within a 15% standard error.
- Sampling plans led to substantial reductions in insecticide treatments (100% in winter, 45% in spring).
Conclusions:
- A single, practical sampling plan for P. xylostella is feasible across cabbage growing seasons.
- Developed action thresholds align with established integrated pest management (IPM) programs, indicating reliability.
- Implementing these sampling plans can significantly decrease reliance on chemical insecticides.
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