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马尾松毛虫灾情指数的方差分析周期外推预报
引用本文:余 燕,张书平,毕守东,周夏芝,邹运鼎,张国庆,张 桢,方国飞,宋玉双.马尾松毛虫灾情指数的方差分析周期外推预报[J].植物保护,2019,45(3):125-133.
作者姓名:余 燕  张书平  毕守东  周夏芝  邹运鼎  张国庆  张 桢  方国飞  宋玉双
作者单位:1. 安徽农业大学理学院, 合肥 230036; 2. 安徽农业大学林学与园林学院, 合肥 230036; 3. 安徽省潜山县林业局, 潜山 246300; 4. 国家林业局森林病虫害防治总站, 沈阳 110034
基金项目:国家林业公益性行业科研专项(201404410)
摘    要:为了提高马尾松毛虫Dendrolimus punctatus Walker灾情预报结果的准确性,为提高防治效果提供科学依据,本文采用方差分析周期外推预报法,以安徽省潜山县的马尾松毛虫各代幼虫累计发生量和当代发生面积计算求得的灾情指数为依据,进行方差分析周期外推预报,并对预报结果进行验证。预报结果的历史符合率,1989-2016年全年灾情指数预报结果历史符合率为89.29%;预报2017年的结果与实况一致。1989-2016年的越冬代历史符合率为89.29%,2017年预报值与实际完全一致。1997-2016年的一代预报结果历史符合率为100%。1989-2016年的二代预报结果的历史符合率为85.19%。2017年由于越冬代飞防使用灭幼脲,使当年一、二代虫口大幅度降低,预报值高于实况。方差分析周期外推预报法对马尾松毛虫的灾情指数预报是一种较理想的预报方法。

关 键 词:马尾松毛虫幼虫  灾情指数  方差分析周期外推预报
收稿时间:2018/7/24 0:00:00
修稿时间:2018/9/7 0:00:00

Analysis of variance periodic extrapolation prediction of the damageindex of Dendrolimus punctatus larvae
YU Yan,ZHANG Shuping,BI Shoudong,ZHOU Xiazhi,ZOU Yunding,ZHANG Guoqing,ZHANG Zhen,FANG Guofei,SONG Yushuang.Analysis of variance periodic extrapolation prediction of the damageindex of Dendrolimus punctatus larvae[J].Plant Protection,2019,45(3):125-133.
Authors:YU Yan  ZHANG Shuping  BI Shoudong  ZHOU Xiazhi  ZOU Yunding  ZHANG Guoqing  ZHANG Zhen  FANG Guofei  SONG Yushuang
Institution:1. College of Science, Anhui Agricultural University, Hefei 230036, China; 2. College of Forestry andLandscape Architecture, Anhui Agricultural University, Hefei 230036, China; 3.Forestry Bureau ofQianshan County, Anhui Province, Qianshan 246300, China; 4. General Station of Forest Disease andInsect Pest Control of State Forestry Administration, Shenyang 110034, China
Abstract:In order to improve the accuracy of disaster forecast of Dendrolimus punctatus, and provide scientific basis for improving the control efficacy, the periodic extrapolation prediction method of variance analysis was performed on the basis of the damage index calculated by the cumulative amount of larvae and the area of occurrence in each generation of D. punctatus in Qianshan county, Anhui province, and the prediction results were verified. The historical conformity rate of the annual disaster index forecast results was 89.29% for 1989-2016, and the forecasts for 2017 were in line with the actual data. The historical conformity rates of the overwintering and 2nd generations were 89.29% and 85.19% for 1989-2016, respectively, and the forecasts were in line with the actual data for 2017, while the historical conformity rate of the 1st generation was 100% in 1997-2016. In 2017, due to the application of chlorbenzuron by aerial spraying, the 1st and 2nd generations were greatly reduced and the forecast value was higher than the actual value. The method of variance analysis and periodic extrapolation is an ideal method for predicting the occurrence of D. punctatus.
Keywords:Dendrolimus punctatus larvae  damage index  analysis of variance periodic extrapolation prediction
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