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农学学报 ›› 2014, Vol. 4 ›› Issue (3): 14-19.

所属专题: 水稻

• 植物保护 • 上一篇    下一篇

水稻“双季”改“单季”害虫种群数量变动规律与数学模型研究

汪恩国 刘伟明   

  • 收稿日期:2013-04-28 修回日期:2013-09-22 出版日期:2014-03-06 发布日期:2014-03-06

The Change Law and Mathematical Model Analysis of Rice Pest Population after Changing ‘double cropping’ to ‘single cropping’

  • Received:2013-04-28 Revised:2013-09-22 Online:2014-03-06 Published:2014-03-06

摘要: 为了揭示双季稻—单双并存—单季稻耕作制度渐进变化害虫种群种群数量变动规律,于1990-2012年通过4个监测点应用灯诱和赶蛾方法对水稻害虫种群结构及构成数量进行系统跟踪监测研究,结果表明水稻主要害虫随双季稻向单季稻制度渐进变化其害虫种群构成从9种演变成8种;其种群数量变动呈周期性波型曲线变化,波动周期W型为9-10年或V型4-5年,不同耕作制度波动呈“三角”变化并以单双并存制度为趋高运行状态;经数值化函数模拟,创建种群数量变动数学模型二化螟为F=-9.6459t2+158.54t+1920.9(r=0.5648**),稻纵卷叶螟为M=-636.37t2+22547t-162834(r=0.7741**),稻飞虱为N1=502.9t2-7097.8t+24522(1990-2006时段r=0.8050**)和N2=3122t2-133157t+1000000(2006-2012时段r=0.8191*)。通过一系列建模,对提升当前单季稻害虫整体监测预警水平具有重要指导意义。

关键词: 斜纹夜蛾, 斜纹夜蛾, 诱芯, 诱捕器, 烟草, 绿色防控

Abstract: In order to investigate the quantitative change law of rice pest population during the gradual changes of cultivation systems from double-cropping, the coexistence of single and double cropping to single-cropping, four monitoring points were designed to track and study the pest population structure and constitution number systematically between 1990 and 2012 using light trap and driving pests. The results were as follows: The number of pest species for rice was reduced to 8 from 9; The change law of pest population showed periodicity waveform curve change and the fluctuation cycles of W type and V type were 9-10 years and 4-5 years, respectively. While the fluctuation of different cultivation systems showed triangular change and the cultivation system of coexistence of single and double cropping was at a high operating model. Also, three mathematical models were constructed based on the numerical function simulation: Striped rice borer (F=-9.6459t2+158.54t+1920.9 (r=0.5648**)), Rice leaf folder (M=-636.37t2+22547t-162834 (r=0.7741**)), Rice hopper (N1=502.9t2-7097.8t+24522 (During 1990 and 2006: r=0.8050**) and N2=3122t2-133157t+1000000 (During 2006 and 2012: r=0.8191*). All these mathematical models would have an important guiding significance for single cropping rice pest monitoring and warning.