Hughes G, Gottwald T R, Yamamura K
Institute of Ecology and Resource Management, University of Edinburgh, Edinburgh, EH9 3JG, UK.
USDA ARS, U.S. Horticultural Research Laboratory, Fort Pierce, FL 34945.
Plant Dis. 2002 Apr;86(4):367-372. doi: 10.1094/PDIS.2002.86.4.367.
This article concerns survey methodology for pathogens in urban citrus populations, motivated in particular by the need for assessments of Citrus tristeza virus (CTV) incidence. We envisage a large area R not devoted primarily to the commercial cultivation of citrus, that nevertheless has a substantial population of citrus trees. It is desired to sample the citrus population of area R in order to be able to make a statement about the level of infection of the population with CTV, or with particular isolates thereof. We describe a two-stage acceptance sampling scheme in which area R is divided into N sampling units, of which n are inspected. The size of the sampling units, while much smaller than R, is still large, so subsampling is carried out, introducing the possibility of misclassification of sampling units. To account for misclassification of sampling units, a larger number must be inspected than if it were assumed that there were no misclassifications. We describe the calculation of sample sizes required for subsampling within sampling units and for the total number of sampling units to be inspected, using parameters that can be adjusted to meet different specified regulatory scenarios.
本文关注城市柑橘群体中病原体的调查方法,尤其受柑橘衰退病毒(CTV)发病率评估需求的推动。我们设想一个主要并非用于柑橘商业种植的大面积区域R,但该区域仍有大量柑橘树。希望对区域R的柑橘群体进行抽样,以便能够就该群体感染CTV或其特定分离株的水平做出陈述。我们描述了一种两阶段验收抽样方案,其中区域R被划分为N个抽样单元,对其中n个进行检查。抽样单元的规模虽然比R小得多,但仍然很大,因此要进行二次抽样,这就引入了抽样单元误分类的可能性。为了考虑抽样单元的误分类,必须检查比假设不存在误分类时更多的数量。我们描述了在抽样单元内进行二次抽样所需的样本量以及要检查的抽样单元总数的计算方法,使用可调整以满足不同指定监管场景的参数。