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Issue:ISSN 2095-1353
           CN 11-6020/Q
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Your Position :Home->Past Journals Catalog->2016年53 No.2

Migration quantitative dynamic of Aphis glycines in thesuction trap monitor and the relationships withmeteorological factors in Shenyang
Author of the article:XU Lei** ZHONG Tao ZHAO Tong-Hua XU Guo-Qing***
Author's Workplace:Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
Key Words:Aphis glycines, suction trap, meteorological factors, regression model
Abstract:

      [Objectives]  To determine the effectiveness of suction trap in monitoring the migration of Aphis glycines and indicate the key meteorological factors in early warning of outbreaks of A. glycines. [Methods]  The suction trap was used to automatically and real-time monitor A. glycines in conjunction from 2009 to 2014. The relativity between the numbers of A. glycines caught in suction trap and in the field was analyzed. Their relationship based on trapped quantity and meteorological factors was studied by stepwise regression analysis. [Results]  The results show that the trapped quantity was significantly correlated with the number of aphids in the field. The first appearance period and the peak period of the capture in suction trap were both earlier than those in the field, The monitor results of suction trap can be uased as a previous warning for the occurrence of aphids in the field. According to the forecasting regression model of the trapped quantity about the meteorological factors, temperature and rainfall are important factors that affect the migration of A. glycines. With the reflection to the general regression model, the trapped quantity is positively related to extreme low temperature in the previous year, average temperature from April to June, minimum temperature from June to July and average temperature in September, while it is negatively related to the rainfall from June to July, rainfall days in September. [Conclusion]  Suction trap clearly demonstrates migratory habits of A. glycines, which is a good way to measure A. glycines population dynamics in the field. Prediction model of meteorological factors on trapped quantity could provide for theoretical guidance and practical basis to exert suction trap in time, sufficiently and accurately.

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