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桑天牛越冬幼虫的空间分布与抽样技术
引用本文:苏振国,刘永辉,刘建波,朱红涛.桑天牛越冬幼虫的空间分布与抽样技术[J].浙江农业学报,2016,28(2):302.
作者姓名:苏振国  刘永辉  刘建波  朱红涛
作者单位:(云南省农业科学院 蚕桑蜜蜂研究所,云南 蒙自 661101)
摘    要:为明确桑天牛(Apriona germari Hope)越冬幼虫的空间分布,采用6种聚集度指标(m*/m,C,k,Iδ,I,CA)和2种回归模型(Taylor的幂法则和m*-m)测定其空间分布,并利用Blackith种群聚集均数λ解析该幼虫种群的聚集成因。结果表明,其呈均匀分布,建立了桑天牛越冬幼虫抽样数公式(N=t2(1.0097m-0.1971)/D2)和序贯抽样模型(T(n)=0.2n± 0.4405),该模型可为桑天牛的预测预报及防治提供理论依据。

关 键 词:桑天牛  越冬幼虫  空间分布  抽样技术  

Spatial distribution pattern and sampling technique of overwintering larvae of Apriona germari Hope
SU Zhen\|guo,LIU Yong\|hui,LIU Jian\|bo,ZHU Hong\|tao.Spatial distribution pattern and sampling technique of overwintering larvae of Apriona germari Hope[J].Acta Agriculturae Zhejiangensis,2016,28(2):302.
Authors:SU Zhen\|guo  LIU Yong\|hui  LIU Jian\|bo  ZHU Hong\|tao
Institution:( Institute of Sericulture and Apiculture, Yunnan Academy of Agricultural Sciences, Mengzi 661101, China)
Abstract:The spatial distribution patterns of overwintering larvae of Apriona germari larva in Morus alba were studied using six spatial distribution pattern analysis methods(m*/ m, C, k, Iδ, I, CA)and two regression equations(Taylor power and m*-m), the assembling reasons were analyzed with average aggression size λ. The results indicated that spatial distribution patterns of Apriona germari larva population was in uniform distribution. The optimal sampling equation(N=t2(1.0097m-0.1971)/D2) and sequential sampling equation(T(n)=0.2n±0.4405) were established. This paper may provide the basis for prediction and control of Apriona germari.
Keywords:Apriona germari Hope  overwintering larvae  spatial distribution pattern  sampling techniques  
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