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马尾松毛虫幼虫发生量的方差分析周期外推预报——一代幼虫发生量和高峰期发生量预报

Analysis of variance superimposed on periodic extrapolation of the occurrence of Dendrolimus punctatus larvae

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【作者】 程娴张书平余燕毕守东周夏芝邹运鼎张国庆张桢方国飞宋玉双

【Author】 CHENG Xian;ZHANG Shu-Ping;YU Yan;BI Shou-Dong;ZHOU Xia-Zhi;ZOU Yun-Ding;ZHANG Guo-Qin;ZHANG Zhen;FANG Guo-Fei;SONG Yu-Shuang;School of Science,Anhui Agricultural University;School of Forestry and Landscape Architecture,Anhui Agricultural University;Forestry Bureau of Qianshan County,Anhui Province;General Station of Forest Disease and Insect Pest Control of State Forestry Administration;

【通讯作者】 毕守东;

【机构】 安徽农业大学理学院安徽农业大学林学与园林学院安徽省潜山县林业局国家林业局森林病虫害防治总站

【摘要】 【目的】为了提高马尾松毛虫Dendrolimus punctatus Walker发生量预报结果的准确性,以期为提高防治效果提供科学依据。【方法】采用方差分析周期外推预报法研究安徽省潜山县1991-2016年25年的马尾松毛虫一代幼虫发生量和一代幼虫高峰期发生量,并对预报结果进行验证。【结果】一代幼虫发生量的预报值与实况值相比,历史符合率达96%,只有2008年预报值与实况值差1级。一代幼虫高峰期发生量的预报值与实况值相比,25年中完全相同的有22年,历史符合率达88%。预报结果不同的是1996年、2005年和2016年,预测值与实况值均相差1级。【结论】方差分析周期外推预报法对马尾松毛虫发生量的预报是一种较理想的预报方法。

【Abstract】 [Objectives] To improve the accuracy of forecasting the occurrence of Dendrolimus punctatus Walker and provide a scientific basis for the prevention and control of this pest. [Methods] The occurrence, and peak occurrence, of first generation larvae in Qianshan County Anhui Province during the 25 years from 1991 to 2016 were studied using analysis of variance, superimposed on periodic extrapolation to verify the predictions. [Results] Comparison of the predicted occurrence of first generation larvae with the actual values indicates that the historical coincidence rate was 96% and the difference between forecasted and actual values in 2008 was only 1 unit. Compared to the actual values, the predicted peak of first generation occurrence was exactly the same in 22 years of the 25 years; a historical coincidence rate of 88%. In 1996, 2005 and 2016, the difference between predicted and actual values were just 1 unit. [Conclusion] Variance analysis superimposed on periodic extrapolation methods is an ideal way to predict the occurrence of D. punctatus.

【基金】 国家自然科学基金项目(30871444);国家林业公益性创业科研专项(201404410);安徽省高校自然科学研究项目(KJ2019A0215)
  • 【文献出处】 应用昆虫学报 ,Chinese Journal of Applied Entomology , 编辑部邮箱 ,2019年05期
  • 【分类号】S763.7
  • 【被引频次】3
  • 【下载频次】119
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