Mankin R W, Samson P R, Chandler K J
USDA-ARS, Center for Medical, Agricultural, and Veterinary Entomology, Gainesville, FL 32608, USA.
J Econ Entomol. 2009 Aug;102(4):1523-35. doi: 10.1603/029.102.0417.
Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potential alternative to this laborious procedure. Field surveys were conducted to detect the major pests Dermolepida albohirtum (Waterhouse) near Mackay, and Antitrogus parvulus Britton near Bundaberg. Computer analyses were developed to identify distinctive scrapes and other sounds produced by D. albohirtum and Antitrogus species and to distinguish them from sounds of nondamaging white grubs (Rutelinae, Dynastinae), as well as from extraneous, wind-induced tapping signals. Procedures were considered for incorporating acoustic methods into surveys and sequential sampling plans. Digging up and inspecting sugarcane root systems requires 10-12 min per sample, but acoustic assessments can be obtained in 3-5 min, so labor and time could be reduced by beginning the surveys with acoustic sampling. In a typical survey conducted in a field with low population densities, sampling might terminate quickly after five negative acoustic samples, establishing a desired precision level of 0.25 but avoiding the effort of excavating and inspecting empty samples. With a high population density, sampling might terminate also if signals were detected in five samples, in which case it would be beneficial to excavate the samples and count the white grubs. In intermediate populations, it might be necessary to collect up to 20 samples to achieve desired precision, and acoustic methods could help determine which samples would be best to excavate.
澳大利亚昆士兰州基于对土壤样本的人工检查,已开发出决策支持系统用于甘蔗(甘蔗属)中食根蛴螬(鞘翅目:金龟科:鳃金龟亚科)的风险分析和管理。声学技术被视为这种费力程序的一种潜在替代方法。开展了实地调查,以检测麦凯附近的主要害虫白纹丽金龟(沃特豪斯),以及班德堡附近的小异丽金龟(布里顿)。开发了计算机分析程序,以识别白纹丽金龟和异丽金龟属产生的独特刮擦声及其他声音,并将它们与无害蛴螬(丽金龟亚科、犀金龟亚科)的声音以及外部的风致敲击信号区分开来。考虑了将声学方法纳入调查和序贯抽样计划的程序。挖掘并检查甘蔗根系每个样本需要10 - 12分钟,但声学评估可在3 - 5分钟内完成,因此通过以声学采样开始调查可减少劳动力和时间。在一个种群密度较低的田地进行的典型调查中,在采集到五个声学阴性样本后抽样可能很快结束,设定所需的精度水平为0.25,但避免了挖掘和检查空样本的工作量。在种群密度较高的情况下,如果在五个样本中检测到信号抽样也可能结束,在这种情况下挖掘样本并清点蛴螬数量会很有益。在中等种群密度时,可能需要采集多达20个样本才能达到所需精度,声学方法有助于确定哪些样本最适合挖掘。