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首页> 外文期刊>Journal of Economic Entomology >Comparison and Field Validation of Binomial Sampling Plans for Oligonychus perseae (Acari: Tetranychidae) on Hass Avocado in Southern California
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Comparison and Field Validation of Binomial Sampling Plans for Oligonychus perseae (Acari: Tetranychidae) on Hass Avocado in Southern California

机译：在加利福尼亚州南部哈斯鳄梨上的多年生油橄榄（Acari：Tetranychidae）二项式采样计划的比较和现场验证

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摘要

Oligonychus perseae Tuttle, Baker, & Abatiello is a foliar pest of 'Hass' avocados [Persea americana Miller (Lauraceae)]. The recommended action threshold is 50-100 motile mites per leaf, but this count range and other ecological factors associated with O. perseae infestations limit the application of enumerative sampling plans in the field. Consequently, a comprehensive modeling approach was implemented to compare the practical application of various binomial sampling models for decision-making of O. perseae in California. An initial set of sequential binomial sampling models were developed using three mean-proportion modeling techniques (i.e., Taylor's power law, maximum likelihood, and an empirical model) in combination with two-leaf infestation tally thresholds of either one or two mites. Model performance was evaluated using a robust mite count database consisting of >20,000 Hass avocado leaves infested with varying densities of O. perseae and collected from multiple locations. Operating characteristic and average sample number results for sequential binomial models were used as the basis to develop and validate a standardized fixed-size binomial sampling model with guidelines on sample tree and leaf selection within blocks of avocado trees. This final validated model requires a leaf sampling cost of 30 leaves and takes into account the spatial dynamics of O. perseae to make reliable mite density classifications for a 50-mite action threshold. Recommendations for implementing this fixed-size binomial sampling plan to assess densities of O. perseae in commercial California avocado orchards are discussed.
机译：Oligonychus perseae Tuttle，Baker和Abatiello是'Hass'鳄梨的叶状害虫[Persea americana Miller（Lauraceae）]。推荐的行动阈值为每片叶子50-100个活动螨，但是该计数范围和与多年生稻瘟病相关的其他生态因素限制了枚举采样计划在该领域的应用。因此，实施了一种综合的建模方法，以比较各种二项式抽样模型在加利福尼亚州per.e的决策中的实际应用。使用三种均值比例建模技术（即泰勒幂定律，最大似然法和经验模型），结合一个或两个螨虫的两叶侵扰计数阈值，开发了一组初始的连续二项式采样模型。使用强大的螨数数据库对模型性能进行评估，该数据库由> 20,000个Hass鳄梨叶组成，并感染了不同密度的多年生稻（O. perseae）并从多个位置收集。连续二项式模型的操作特性和平均样本数结果被用作开发和验证标准化的固定大小二项式抽样模型的基础，该模型具有鳄梨树块中的样本树和叶子选择准则。经过最终验证的模型需要30片叶子的叶子采样成本，并考虑到多年生稻的空间动态，才能针对50个螨的行为阈值进行可靠的螨密度分类。讨论了有关实施此固定大小的二项式抽样计划以评估加利福尼亚商业鳄梨果园O. perseae密度的建议。

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