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小绿叶蝉在贵州省年发生两次虫口高峰,分别出现在6月中旬至7月上旬和8月下旬至10月上旬。虫口高峰出现的早晚及高峰时的虫口密度与主要气象要素呈极显著相关,据此建立了复回归预测式。茶树受害程度与虫口密度的相关性密切,制定了受害允许密度及防治指标计算公式。根据测报结果,在虫口高峰出现的前一旬连续用化学农药防治两次(间隔6～7天),控制效果达85～90％以上,使该虫虫口高峰不致形成,年施药4～5次即可,同时还可挽回损失20％左右。
Small green leafhopper occurred twice in Guizhou Province pest population peak, respectively, from mid-June to early July and late August to early October. The early and late pest population peak and the pest population density at the peak are extremely significantly correlated with the main meteorological elements. Based on this, a regression regression model is established. The correlation between the damage degree of tea tree and insect population density was closely related to formulate the calculation formula of allowable density and prevention and cure index. According to the results of the survey, the chemical pesticides were continuously prevented and treated twice (6 to 7 days apart) in the first ten days of the peak of the pest population, with the control effect of over 85-90% Times can be, while also recovering about 20% loss.