烟草潜叶蛾幼虫空间分布型及其应用研究  

STUDIES ON SPATIAL DISIRIBUTION OF LARVAE OFLEAF MINER, Phthorimaea operculellaAND ITS APPLICATION

作　　者：杜予州[1] 

机构地区：[1]贵州农学院植保系贵阳,550025

出　　处：《Zoological Research》1993年第1期42-48,共7页动物学研究（英文）

基　　金：贵州省自然科学基金

摘　　要：本文就烟草潜叶蛾幼虫空间分布型及其垂直分布规律进行了探讨。结果表明:烟草潜叶蛾幼虫在田间呈聚集分布,聚集强度不因种群密度的改变而改变。幼虫主要聚集分布在烟草下部第一段(4片叶)上;聚集或随机分布在第二段上;随机分布在第三段上。此外,应用虫株率进行田间种群密度的估计,其中Wilson模糊和Gerrard模型所配理论曲线的预测值与实测值显著适合,但Gerrard模型的抽样估计误差较Wilson模型的小。最后本文用Taylor式中的参数a、b确定理论抽样数及序贯抽样,其模型分别为: N=1.68857(t/D)~2X-0.90661和T_(n)=(D/1.68857)^(-1.10301) ·n^(-0.10301)The aggregation indices and Taylor's power law are used to test the spatial distribution of the third generation larvae of leaf miner in the tobacco fields. The results are as follows: The distribution pattern of larvae is aggregative ( negative binomial distribution) . The aggregation dose not change with the densities of population of leaf miner. The larvae are mainly aggregated distribution on the first stratification (four leaves) beneath tobacco plant; aggregated or random distribution on the second stratification; random distribution on the third stratification. Otherwise, the frequency of occurrence are used to estimate population densities of leaf miner. By comparing calculating population densities of the theoretical curves from Wilson's model and Gerrard's model with practical one, it is found that the relationship between them is significant fit. But sampling estimating error of Gerrard's model is less than that of Wilson's. Meanwhile, models of optimization sampling and sequential sampling are obtained by using Taylor's parameters as follows: N = 1.68857 (t/D) 2-090661 and TM = (0/1.68857) -1.10301.n-0.10301

关 键 词：烟草潜叶蛾 空间分布型 

分 类 号：S435.72[农业科学—农业昆虫与害虫防治]