Abstract The sugarcane aphid (Melanaphis sacchari Zehntner) is a significant economic pest of grain sorghum (Sorghum bicolor (L.) Moench) in the Southern United States. Current nominal and research-based economic thresholds are based on estimates of mean aphids per leaf. Because enumerating aphids per leaf is potentially time consuming, binomial sequential sampling plans for M. sacchari were developed that allow users to quickly classify the economic status of field populations and determine when an economic threshold has been exceeded. During 2016 and 2017, counts of M. sacchari were recorded from 281 sampling events in 140 sorghum fields located in six states (Oklahoma, Kansas, Texas, Arkansas, Louisiana, Mississippi) . Regression analysis was used to describe the relationships between the mean M. sacchari density per two-leaf sample and proportion of plants infested with one or more aphids. Tally thresholds of T50 and T100 aphids per two-leaf sample were selected based on goodness of fit and practicality. Stop lines for both tally thresholds were developed for selected economic thresholds using Wald's sequential probability ratio test. Model validations using an additional 48 fields demonstrated that reliable classification decisions could be made with an average of 11 samples regardless of location. This sampling system, when adopted, can allow users to easily and rapidly determine when M. sacchari infestations need to be treated.

中文翻译：

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商品粮高粱甘蔗蚜虫（半翅目：蚜虫科）二项式顺序抽样方案的开发

摘要 甘蔗蚜虫（Melanaphis sacchari Zehntner）是美国南部高粱（Sorghum bicolor (L.) Moench）的重要经济害虫。当前的名义和基于研究的经济阈值是基于对每片叶子平均蚜虫的估计。由于枚举每片叶子的蚜虫可能很耗时，因此开发了 M. sacchari 的二项式顺序抽样计划，允许用户快速分类田间种群的经济状况并确定何时超过经济阈值。在 2016 年和 2017 年期间，在位于六个州（俄克拉荷马州、堪萨斯州、德克萨斯州、阿肯色州、路易斯安那州、密西西比州）的 140 个高粱田的 281 次采样事件中记录了 M. sacchari 的计数。回归分析用于描述均值 M 之间的关系。每两片叶子样品的糖浓度和被一种或多种蚜虫侵染的植物比例。基于拟合优度和实用性选择每两叶样品的 T50 和 T100 蚜虫的计数阈值。使用 Wald 的连续概率比检验为选定的经济阈值开发了两个计数阈值的停止线。使用额外 48 个字段的模型验证表明，无论位置如何，平均 11 个样本都可以做出可靠的分类决策。采用这种取样系统后，用户可以轻松快速地确定何时需要处理糖分枝杆菌侵染。使用 Wald 的连续概率比检验为选定的经济阈值开发了两个计数阈值的停止线。使用额外 48 个字段的模型验证表明，无论位置如何，平均 11 个样本都可以做出可靠的分类决策。采用这种取样系统后，用户可以轻松快速地确定何时需要处理糖分枝杆菌侵染。使用 Wald 的连续概率比检验为选定的经济阈值开发了两个计数阈值的停止线。使用额外 48 个字段的模型验证表明，无论位置如何，平均 11 个样本都可以做出可靠的分类决策。采用这种取样系统后，用户可以轻松快速地确定何时需要处理糖分枝杆菌侵染。