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Binomial Sequential Sampling Plans for Macadamia Felted Coccid (Hemiptera: Eriococcidae) Infesting Hawaii Macadamia
Rosemary Gutierrez-Coarite1, Ishakh Pulakkatu-Thodi1, Mark G Wright2
1Entomology Section, Department of Plant and Environmental Protection Sciences, Komohana Research and Extension Center, Hilo, HI.
This study developed a binomial sampling plan to manage the invasive macadamia felted coccid (Eriococcus ironsidei) in Hawaii. A tally threshold of over 10 crawlers per area best predicted pest density, enabling optimized pest control strategies.
Area of Science:
- Agricultural Entomology
- Pest Management
- Invasive Species Biology
Background:
- The macadamia felted coccid (Eriococcus ironsidei) is an invasive pest impacting macadamia orchards in Hawaii.
- This pest causes significant damage, including distorted growth, stunted development, and branch dieback, leading to reduced nut yields.
Purpose of the Study:
- To characterize the dispersion patterns of Eriococcus ironsidei in macadamia orchards.
- To develop a binomial sequential sampling plan for efficient pest management.
Main Methods:
- Field sampling across ten macadamia orchards in Hawaii over 18 months.
- Analysis of pest dispersion using Taylor's Power Law and Iwao's mean crowding index.
- Development of binomial sequential sampling plans based on infestation thresholds.
Main Results:
- Eriococcus ironsidei exhibited an aggregated dispersion pattern in the field.
- A tally threshold of >10 crawlers per unit area proved to be the most effective predictor of mean crawler density.
- Binomial sequential sampling plans were developed using critical infestation proportions of 0.40, 0.60, and 0.80.
Conclusions:
- The developed binomial sequential sampling plan can enhance the management of Eriococcus ironsidei.
- This approach optimizes the number of samples required for effective pest control decisions.
- Implementing this plan can lead to improved crop protection and yield in affected macadamia orchards.
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