시설 토마토에서 해충인 담배가루이 이항표본추출법 개발

초록

Tomato is one of the most widely cultivated vegetables worldwide and is primarily grown in greenhouses. While greenhouse cultivation enhances productivity, it also increases the density of pests. Whitefly (Bemisia tabaci) is a major pest that causes significant damage to tomato crops by inhibiting growth and transmitting plant viruses, leading to yield loss. Due to its high resistance, an integrated pest management (IPM) strategy is essential for effective control. This study developed a binomial distribution model to analyze the density and infection rate of B. tabaci nymphs in greenhouse tomato cultivation. The results showed that nymph density was higher in the lower plant parts, influenced by the cultivation method and oviposition behavior. Spatial distribution analysis confirmed an aggregated distribution pattern, with an optimal tally threshold (T) of 3. The model’s accuracy remained unaffected by sample size but varied with the T value. Validation using independent data demonstrated high predictive accuracy, supporting its application in setting economic injury thresholds. The binomial sampling method proved to be a time- and cost-efficient approach for greenhouse pest management. By integrating this model with IPM strategies, it can contribute to the development of a sustainable pest control system, optimizing control measures and minimizing pesticide use while maintaining crop productivity.

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