Aristizábal Luis F, Moura Mascarin Gabriel, Cherry Ron, Chaves-Cordoba Bernardo, Arthurs Steven P
University of Florida, Mid-Florida Research and Education Center, Apopka, FL 32703 (
Embrapa, Zona Rural, C.P. 179, Santo Antônio de Goiás, GO 75375-000, Brazil (
J Econ Entomol. 2016 Dec 1;109(6):2543-2550. doi: 10.1093/jee/tow231.
The development of simple and reliable pest sampling programs is needed for growers to adopt economic or aesthetic injury levels. We developed a sampling plan for monitoring chilli thrips Scirtothrips dorsalis Hood populations on KnockOut shrub roses under simulated nursery conditions. The distribution of S. dorsalis among different plant structures revealed that most adults and larvae are found on foliar terminals, when compared with buds and flowers. Based on thrips distribution, the third leaf of actively growing terminals was used to determine a sequential sampling model. Thrips had an aggregated distribution, based on Taylor's power law and Iwao's mean crowding index, with both models showing a good fit (i.e., R2 of ∼0.8 and ∼0.9, respectively). Based on these model parameters, the number of samples required to estimate populations with a 10% precision was ∼30 leaves according to Green's and Kuno's enumerative sequential sampling plans. A binomial model also estimated the proportion of infested leaf terminals as a function of insect density with an R2 value of 0.85. An additional study demonstrated that correlation between visual damage to the third leaf terminal and initial thrips populations was modeled by simple power functions. This finding suggests that a more rapid visual sampling of plant damage can be used to indirectly estimate S. dorsalis populations. Our sampling plan provides a tool to monitor S. dorsalis populations that could be used to help make management decisions for this pest in commercial nurseries.
种植者若要采用经济或美观损伤水平，就需要制定简单可靠的害虫抽样方案。我们制定了一个抽样计划，用于在模拟苗圃条件下监测“淘汰赛”灌木玫瑰上的辣椒蓟马（Scirtothrips dorsalis Hood）种群。与芽和花相比，辣椒蓟马在不同植物结构中的分布情况表明，大多数成虫和幼虫都出现在叶尖上。根据蓟马的分布情况，选取生长旺盛枝梢的第三片叶子来确定一个序贯抽样模型。基于泰勒幂法则和岩尾平均拥挤指数，蓟马呈聚集分布，两种模型均拟合良好（即决定系数分别约为0.8和0.9）。根据这些模型参数，按照格林和久野的枚举序贯抽样计划，要以10%的精度估计种群数量，所需样本数量约为30片叶子。一个二项式模型还估计了受侵染叶尖的比例与昆虫密度的函数关系，决定系数为0.85。另一项研究表明，第三片叶尖的视觉损伤与初始蓟马种群之间的相关性可以用简单的幂函数建模。这一发现表明，可以通过对植物损伤进行更快的视觉抽样来间接估计辣椒蓟马的种群数量。我们的抽样计划提供了一种监测辣椒蓟马种群的工具，可用于帮助商业苗圃针对这种害虫做出管理决策。
