Sampling techniques for IPM decision-making of the silverleaf whitefly (Bemisia argentifolii Bellows & Perring) on net-house tomato (Lycopersicon esculentum Mill.)
Date Issued
2004
Date
2004
Author(s)
Wang, Po-Yao
DOI
zh-TW
Abstract
I conducted studies to develop sampling plans for the decision-making of control action of silverleaf whitefly (Bemisia argentifolii Bellows & Perring ) on tomato (Lycopersicon esculentum Mill.) cultivated under net-house in the Asia Pacific Farm, Guansi Township, Hsinchu County. Using sequential sampling plans can help agriculturist to judge the damage of target pest and to decide whether control is needed. Before developing sequential sampling plans, I need to examine the distribution model of target pest in the grove. Random leaf samplings were taken weekly for four crop seasons, namely, from April to June, 2002, October, 2002 to January, 2003, March to June, 2003,and November, 2003 to February, 2004. In terms of vertical distribution, adults and nymphs were abundant on leaves at the middle and the bottom stratum of tomato (80%) than on leaves at the top stratum. Using X2-test to examine the fitness of the negative binomial distribution to the frequency data collected from the field, I concluded that negative binomial distribution fitted well to most of data sets. Thirty-three out of 47 data sets of adults and 26 out of 47 data sets of nymphs were in compliance with negative binomial distribution. Because both adults and nymphs infested tomato, data of adults and nymphs were pooled together to develop the sequential sampling plan. Aggregation patterns measured by Taylor’s Power Law revealed that adults were aggregative (b = 1.288) as well as nymphs (b = 1.481). The same conclusion was reached by using Iwao’s mean crowding-mean regression as the parameters of adults (
Subjects
設施番茄
銀葉粉蝨
空間分布
最適樣本
逐次取樣
Sequential sampling
Bemisia argentifolii
Silverleaf whitefly
Spatial distribution
Optimal sample size
Net-house tomato
Type
thesis
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