中国农业气象

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辽宁省玉米螟发生程度的气象预报模型

张淑杰;张玉书;吴微微;蔡纪新;武晋雯;   

  1. 中国气象局沈阳大气环境研究所;兴城市农业技术推广中心;绥中县农业技术推广中心;
  • 出版日期:2009-04-10 发布日期:2009-04-10
  • 基金资助:
    辽宁省气象局项目(200618);; 中国气象局气象新技术推广项目(CMATG2006M10)

Meteorological Forecast Model for Emergence Grade of Corn Borer in Liaoning Province

ZHANG Shu-jie1,ZHANG Yu-shu1,WU Wei-wei 2,CAI Ji-xin3,WU Jin-wen1 (1.Institute of Atmospheric Environment,CMA,Shenyang 110016,China;2.Xingcheng Agricultural Technological Extension Center,Xingcheng 125100;3.Suizhong County Agricultural Technological Extension Center,Suizhong 125200)   

  • Online:2009-04-10 Published:2009-04-10

摘要: 玉米螟是辽宁省的主要害虫之一,近几年呈大发生的趋势,气象条件对其发生发展具有重要的影响。利用1991-2004年玉米螟的发生资料和气象资料,运用相关分析、因子分析、逐步回归分析和通径分析的方法对玉米螟发生发展的气象因子进行分析和模拟,目的是对本地区玉米螟的发生发展进行预报和预测。结果表明:降水是影响玉米螟发生发展的主要因子,化蛹前期、羽化期和卵孵化期的降水对其发生发展影响最大,其次是卵孵化期温度的影响。2005年和2006年的试报结果显示,考虑虫源基数比不考虑虫源基数的预报准确率分别提高9个百分点和26个百分点,因此,在对玉米螟进行预报的时候必须考虑虫源基数。所建立模型的模拟结果和试报结果都与实际情况接近,本模型可以用于对玉米螟的发生发展进行预报和预测。

关键词: 玉米螟, 预报模型, 气象因子

Abstract: The corn borer is one of main pests in Liaoning Province and its endanger trend tended to be more serious in recent few years.According to the emergence data of the corn borer and the synchronous meteorological data of Liaoning Province in 1991-2004,the effects of main meteorological factors on the emergence grade of the corn borer were analyzed to predict the emergence of corn borer,with correlation analysis,factor analysis,stepwise regression analysis and path analysis.The results indicated that the primary affected factor for the emergence of the corn borer was the precipitation.The precipitation during the pupal stage,eclosion stage and egg incubate stage was the most important factor for the emergence of the corn borer,while the temperature in the egg incubate stage was secondary factor.The precision of forecast was higher when the resuscitation larva of the corn borer was considered.The prediction accurate rate by considering the resuscitation larva of the corn borer was improved by 9% and 26% in 2005 and 2006 respectively.The simulation results were tightly close to the observed emergence data of corn borer.The model could be used to forecast the emergence of corn borer.

Key words: Corn borer, Corn borer, Forecast, Meteorological factor