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1 October 2006 Developing Optimum Sample Size and Multistage Sampling Plans for Lobesia botrana (Lepidoptera: Tortricidae) Larval Infestation and Injury in Northern Greece
A. A. Ifoulis, M. Savopoulou-soultani
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Abstract

The purpose of this research was to quantify the spatial pattern and develop a sampling program for larvae of Lobesia botrana Denis & Schiffermüller (Lepidoptera: Tortricidae), an important vineyard pest in northern Greece. Taylor’s power law and Iwao’s patchiness regression were used to model the relationship between the mean and the variance of larval counts. Analysis of covariance was carried out, separately for infestation and injury, with combined second and third generation data, for vine and half-vine sample units. Common regression coefficients were estimated to permit use of the sampling plan over a wide range of conditions. Optimum sample sizes for infestation and injury, at three levels of precision, were developed. An investigation of a multistage sampling plan with a nested analysis of variance showed that if the goal of sampling is focusing on larval infestation, three grape clusters should be sampled in a half-vine; if the goal of sampling is focusing on injury, then two grape clusters per half-vine are recommended.

A. A. Ifoulis and M. Savopoulou-soultani "Developing Optimum Sample Size and Multistage Sampling Plans for Lobesia botrana (Lepidoptera: Tortricidae) Larval Infestation and Injury in Northern Greece," Journal of Economic Entomology 99(5), 1890-1898, (1 October 2006). https://doi.org/10.1603/0022-0493-99.5.1890
Received: 18 March 2005; Accepted: 1 May 2006; Published: 1 October 2006
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KEYWORDS
Iwao’s patchiness regression
nested analysis of variance
Taylor’s power law
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