Identification of Empoasca onukii (Hemiptera: Cicadellidae) and Monitoring of its Populations in the Tea Plantations of South China
Identification of Empoasca onukii (Hemiptera: Cicadellidae) and Monitoring of its Populations in the Tea Plantations of South China
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DOI：
10.1093/jee/tov054
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发表时间：
2015-06-01
影响因子：
2.2
通讯作者：
You, Min-Sheng
中科院分区：
文献类型：
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作者：
Shi, Long-Qing;Zeng, Zhao-Hua;You, Min-Sheng
茶绿叶蝉（Empoasca spp.）被认为是亚洲茶园的主要害虫之一。然而，由于它们的体型以及飞行和跳跃能力，很难对其进行监控。在这项研究中，我们澄清了我们研究种植园中遇到的叶蝉物种的识别，并检查了采样方法对估计种群丰度和性别比的影响。测定了茶绿叶蝉卵、若虫、成虫的自然性别比以及雌雄差异。尽管之前有报道称小绿叶蝉（Goethe）是我们研究区域中存在的主要叶蝉，但我们的结果显示仅发现了小绿叶蝉（Empoasca onukii Matsuda）。我们的监测实验发现，人口规模随时间的变化以及性别比例的偏差取决于抽样方法。一般来说，成年男性比女性更容易被黄色便利贴所吸引。我们认为，由于雌性叶蝉应该是害虫防治的目标，因此黄色粘卡可能不是最适合监测或有效控制茶绿叶蝉的方法。我们证明了了解抽样技术对人口估计和性别比例偏差的影响以及时间变化如何影响监测结果的重要性。精确监测应考虑男性和女性的不同生活史。
Tea green leafhoppers (Empoasca spp.) are considered one of the major pests in tea plantations in Asia. They are, however, difficult to monitor due to their size and flying and jumping abilities. In this study, we clarified the identification of the leafhopper species encountered in our study plantations and examined the impacts of sampling methods in estimating population abundance and sex ratio. The natural sex ratio of eggs, nymphs, and adults of tea green leafhopper and the differences between male and female were tested. Despite previous reports that Empoasca vitis (Goethe) was the major leafhopper present in our study area, our results showed that only Empoasca onukii Matsuda was found. Variation in population size over time and bias in sex ratio depending on the sampling methods were found in our monitoring experiments. In general, adult males were more attracted to yellow sticky cards than females. We believe that because female leafhoppers should be the target in pest control, yellow sticky cards may not be the most suitable monitoring or effective control of tea green leafhopper. We demonstrate the importance of understanding the implications of sampling techniques for population estimation and sex ratio bias as well as how temporal variation may affect monitoring results. Precise monitoring should take into consideration the different life histories of male and female.