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      Developing optimum sample size and multistage sampling plans for Lobesia botrana (Lepidoptera: Tortricidae) larval infestation and injury in northern Greece.

      Journal of Economic Entomology
      Analysis of Variance, Animals, Greece, Larva, physiology, Moths, Population Density, Regression Analysis, Sample Size, Vitis, parasitology

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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 and 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.

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          Author and article information

          Journal
          17066827
          10.1093/jee/99.5.1890

          Chemistry
          Analysis of Variance,Animals,Greece,Larva,physiology,Moths,Population Density,Regression Analysis,Sample Size,Vitis,parasitology

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