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作 者:黄华英 陈颖 陈观浩 HUANG Huaying;CHEN Ying;CHEN Guanhao(Forecast Station of Plant Disease and Insect Pests of Huazhou,Huazhou Guangdong 525100,China;Huazhou Agricultural Technology Promotion Center,Huazhou Guangdong 525100,China;Huazhou Agricultural Science and Technology Promotion Association,Huazhou Guangdong 525100,China)
机构地区:[1]化州市农作物病虫预测预报站,广东化州525100 [2]化州市农业技术推广中心,广东化州525100 [3]化州市农业科技促进会,广东化州525100
出 处:《植物医学》2024年第1期72-78,共7页Plant Health and Medicine
基 金:广东省科技计划项目(2013B020416002);化州市科技计划项目(化科工商〔2021〕15号).
摘 要:本研究探讨了水稻三化螟白穗空间分布格局和抽样技术,为该虫害的监测预报和有效防控提供参考.选取9块水稻田逐丛调查资料,应用6种聚集度指标、Iwao的m^(*)-m回归分析法和Taytor幂法则,研究三化螟白穗的空间分布型和抽样技术.结果表明,三化螟白穗在水稻田呈聚集分布,分布的基本成分为个体间相互吸引,其聚集度是随着密度的增加而升高.在此基础上,采用Iwao法确定了三化螟白穗的田间最适理论抽样公式;田间调查时,可用白穗丛率估计白穗种群密度,其公式为m=2.0982[-ln(1-p)]^(1.1273).所建立的理论抽样公式和简易估计公式可在三化螟白穗调查、监测预报和科学防控中推广应用.This study explored the spatial distribution pattern and sampling techniques of the white panicles caused by rice stem borer damage can provide reference for monitoring,forecasting,and effective prevention and control of this pest.Plant by plant survey data of 9 rice fields was selected to study the spatial distribution pattern and sampling techniques of white panicles damaged by rice stem borer with 6 aggregation indicators,Iwao's m^(*)-m regression analysis method,and Taytor power law.The results showed that the white panicles showed an aggregated distribution in the rice field.The basic component of the distribution was mutual attraction between individuals.The degree of aggregation increased with the increase of density.On this basis,Iwao's method was used to determine the optimal theoretical sampling formula for the white panicle in the field.In field investigations,the white panicle cluster rate can be used to estimate the white panicle population density,with a formula of m=2.0982[-ln(1-p)]^(1.1273).The established theoretical sampling formula and simple estimation formula can be promoted and applied in the investigation,monitoring,prediction,and prevention and control of rice borer.
分 类 号:S433[农业科学—农业昆虫与害虫防治]
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