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山杏林黄褐天幕毛虫虫口密度与失叶率相关性分析 被引量:1

Correlation Analysis on Population Density and Leaf Loss Rate of Malacosoma neustria testacea in Armeniaca sibirica Forest
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摘要 黄褐天幕毛虫是内蒙古通辽地区为害天然山杏的主要害虫,特别是在扎鲁特旗危害极其严重。本研究对山杏林黄褐天幕毛虫虫口密度与失叶率相关性进行了分析,结果表明:黄褐天幕毛虫的虫口密度与失叶率呈正相关,虫口密度与失叶率的关系式为y=0.0205x 2-1.1518x+26.978(R^2=0.83)。虫口密度与失叶率的关系式拟合的平均精度为85.65%。依据黄褐天幕毛虫虫口密度与失叶率的关系式,当失叶率分别达到30%以下、31%~59%与60%以上的轻、中与重度危害时,其虫口密度分别为10条·株-1以下、11~30条·株-1与31条·株^-1以上,明确了该虫在山杏林发生危害程度的标准,为黄褐天幕毛虫的防治提供了科学依据。 Malacosoma neustria testacea is a main pest to damage natural Armeniaca sibirica in Tongliao,Inner Mongolia,especially in Jarud Banner.The correlation between the population densities and leaf loss rates were analyzed.The results showed that there was positive correlation between the population densities of M.neustria testacea and the leaf loss rate.The fitting function formula was y=0.0205x 2-1.1518x+26.978(R^2=0.83).The average precision of the relationship between the population densities and the leaf loss rate was 85.65%.Based on the function formula,when the leaf loss rate was below 30%,from 31%to 59%,and over 60%,its population density was below 10,11-30 and over 30 individuals per plant,respectively.This study clarified the standard of insect damage degree in A.sibirica forest,which could provide the references for the technology of preventing and controling M.neustria testacea.
作者 敖特根 陈国发 梅玉春 常桐 陈晨 Aotegen;CHEN Guo-fa;MEI Yu-chun;CHANG Tong;CHEN Chen(Tongliao Forest Disease and Insect Pest Control and Quarantine Station,Inner Mongolia,Tongliao 028000,China;General Station of Forest and Grassland Pest Management,National Forestry and Grassland Administration,Shenyang 110034,China;Bayanchagan Forest Farm of Jarud Banner,Inner Mongolia,Jarud Banner 029114,China;Kailu County Forest Disease and Insect Pest Control and Quarantine Station,Inner Mongolia,Kailu 028400,China)
出处 《内蒙古林业科技》 2020年第4期41-43,49,共4页 Journal of Inner Mongolia Forestry Science and Technology
关键词 山杏 黄褐天幕毛虫 虫口密度 失叶率 相关性分析 Armeniaca sibirica Malacosoma neustria testacea population density leaf loss rate correlation analysis
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