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• 技术与方法 • 上一篇    

棉铃虫发生趋势的气象等级预报方法

薛晓萍1,2;陈艳春1,2;李鸿怡1,2   

  1. 1东省气象科学研究所, 济南 250031;2山东省气候中心, 济南 250031
  • 收稿日期:2008-08-06 修回日期:1900-01-01 出版日期:2009-04-10 发布日期:2009-04-10

Forecast method of meteorological grade of Helicoverpa armigera occurrence trend.

XUE Xiao-ping1,2; CHEN Yan-chun1,2;LI Hong-yi1,2   

  1. 1Shandong Meteorological Institute, Jinan 250031, China;2Shandong Climatic Center, Jinan 250031, China
  • Received:2008-08-06 Revised:1900-01-01 Online:2009-04-10 Published:2009-04-10

摘要: 通过分析山东省各代棉铃虫历年实际发生情况和其对应的气象条件,用数理统计方法对棉铃虫发生发展具有影响的气象因子进行筛选,确定各影响因子的影响权重系数,并划分与棉铃虫发生等级相对应的气象因子影响等级域值,由此,构建了棉铃虫发生趋势的气象等级预报模型,为棉铃虫的防治提供科学依据。

关键词: 植物生长调节剂, 前体, 玉米, 生长, 养分吸收

Abstract: Through the analysis of the historical data of Helicoverpa armigera oc currence and corresponding meteorological conditions in Shandong Province, the m ain meteorological factors affecting the occurrence of H. armigera were sele cted, and their affecting weight coefficients were determined by statistic metho d. Based on these, the grading domain values of the meteorological factors corre sponding to the occurrence grades of H. armigera were set off, and the forec ast model of meteorological grade of H. armigera occurrence trend was constructe d, which could offer a scientific basis for the control of H. armigera.

Key words: Plant growth regulator, Precursor, Zea mays, Growth, Nutrient uptake