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吉林省三代玉米粘虫预警技术研究
引用本文:孙嵬,程志加,陈晓,苏前富,周佳春,高月波. 吉林省三代玉米粘虫预警技术研究[J]. 玉米科学, 2017, 25(3): 148-151,156
作者姓名:孙嵬  程志加  陈晓  苏前富  周佳春  高月波
作者单位:吉林省农业科学院植物保护研究所/农业部东北作物有害生物综合治理重点实验室, 吉林 公主岭 136100,吉林农业大学农学院, 长春 130118,南京农业大学昆虫学系, 南京 210095,吉林省农业科学院植物保护研究所/农业部东北作物有害生物综合治理重点实验室, 吉林 公主岭 136100,吉林省农业科学院植物保护研究所/农业部东北作物有害生物综合治理重点实验室, 吉林 公主岭 136100,吉林省农业科学院植物保护研究所/农业部东北作物有害生物综合治理重点实验室, 吉林 公主岭 136100
基金项目:公益性行业(农业)科研专项经费(201403031)、吉林省青年科研基金项目(20160520030JH)、吉林省农业科技创新工程重大产业技术领域关键技术研究项目
摘    要:通过综合使用诱蛾器、探照灯、风场及降雨分析、扫描昆虫雷达观测、田间调查等监测手段及方法,探讨适用于吉林省三代粘虫的预测预报方法。结果表明,2015年度二代粘虫成虫数量较高,且有一定比例二代成虫滞留在当地并已产卵,气象条件不适宜于粘虫的向南回迁,扫描昆虫雷达直到7月29日始见粘虫向南聚集成层迁飞,田间调查发现较高密度的低龄期幼虫发生。2015年度三代粘虫在吉林省偏重发生,三代粘虫的实际发生情况验证了预报方式的有效性。

关 键 词:玉米  三代粘虫  扫描昆虫雷达  气象分析  预测预报
收稿时间:2016-06-08

Forcasting Investigation of the Third-generation Armyworm in Jilin Province
SUN Wei,CHENG Zhi-ji,CHEN Xiao,SU Qian-fu,ZHOU Jia-chun and GAO Yue-bo. Forcasting Investigation of the Third-generation Armyworm in Jilin Province[J]. Journal of Maize Sciences, 2017, 25(3): 148-151,156
Authors:SUN Wei  CHENG Zhi-ji  CHEN Xiao  SU Qian-fu  ZHOU Jia-chun  GAO Yue-bo
Affiliation:Key Laboratory of Integrated Pest Management on Crops in Northeast, Ministry of Agriculture, Institute of Plant Protection, Jilin Academy of Agricultural Sciences, Gongzhuling 136100,College of Agronomy, Jilin Agricultural University, Changchun 130118,Department of Entomology, Nanjing Agricultural University, Nanjing 210095, China,Key Laboratory of Integrated Pest Management on Crops in Northeast, Ministry of Agriculture, Institute of Plant Protection, Jilin Academy of Agricultural Sciences, Gongzhuling 136100,Key Laboratory of Integrated Pest Management on Crops in Northeast, Ministry of Agriculture, Institute of Plant Protection, Jilin Academy of Agricultural Sciences, Gongzhuling 136100 and Key Laboratory of Integrated Pest Management on Crops in Northeast, Ministry of Agriculture, Institute of Plant Protection, Jilin Academy of Agricultural Sciences, Gongzhuling 136100
Abstract:The third-generation armyworm Mythimna separate(Walker) has posed a threat to corn production in Jilin province. Based on research methods of trap, pointing searchlight, weather analysis, scanning entomological radar and field investigation, this study was conducted to investigate the method for the armyworm prediction. The results showed that the number of adult was high, and part of their lay legs. Weather conditions were not appropriate for the southward migrated armyworm. There was a dense layer which formed by the southward migrated armyworm observed by scanning entomological radar until 29 July. Low-level larva was found in the fields. The third-generation armyworm caused severe damage in Jilin province this year. The actual situation proves the effectiveness of the prediction method.
Keywords:Maize  Third-generation armyworm  Scanning entomological radar  Weather analysis  Prediction
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