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验证 spp.(鳞翅目:夜蛾科)翅膀几何形态测量学以支持入侵物种调查项目中的害虫鉴定。

Validation of wing geometric morphometrics in spp. (Lepidoptera: Noctuidae) to support pest identification in invasive species survey programs.

作者信息

Smith-Pardo Allan H, Torres Karina M, Paula-Moraes Silvana V

机构信息

Plant Identification Technology Laboratory (PITL), Science and Technology (S&T), Plant Protection and Quarantine (PPQ), Animal and Plant Health Inspection Service (APHIS), United States Department of Agriculture (USDA), Sacramento, CA, United States.

Entomology & Nematology Department, West Florida Research and Education Center, University of Florida, Jay, FL, United States.

出版信息

Front Insect Sci. 2025 Jan 28;5:1542467. doi: 10.3389/finsc.2025.1542467. eCollection 2025.

Abstract

Looper moths of the genus (Lepidoptera: Noctuidae: Plusiinae) are important pests of many crops and native plants worldwide. (Esper) is listed as an invasive species for the United States with records of interception. Native species of the Plusiinae subfamily are morphologically similar and commonly cross-attracted in survey trapping programs for , such as (Walker), a native economic pest. The species identification relies on male genitalia dissection and DNA analysis. These processes are time and cost-consuming and require expertise. In this work, we evaluated the use of wing geometric morphometrics (GM) as a tool to overcome the identification challenges associated with the complex morphologies of spp. The cleaned wings of specimens with validated identification were photographed under a digital microscope, and seven venation landmarks were annotated from the images. The digital coordinates of the wing landmarks were analyzed in MorphoJ. Our results validated the use of GM for distinguishing the invasive from the native . A limited number of landmarks on the center of the wing was used to address the challenges in GM for trap-collected lepidopteran pests. Future automation of the novel application of GM for identifying can be explored in trapping systems for IPM and surveys for the invasive .

摘要

银纹夜蛾属(鳞翅目:夜蛾科:金翅夜蛾亚科)的尺蠖蛾是全球许多农作物和本土植物的重要害虫。(埃斯珀)被列为美国的入侵物种且有截获记录。金翅夜蛾亚科的本土物种在形态上相似,并且在诸如(沃克)这种本土经济害虫的调查诱捕项目中通常会相互吸引。物种鉴定依赖于雄性生殖器解剖和DNA分析。这些过程既耗时又费钱,还需要专业知识。在这项工作中,我们评估了使用翅几何形态测量学(GM)作为一种工具,以克服与银纹夜蛾属物种复杂形态相关的鉴定挑战。对经确认鉴定的标本的清洁翅膀在数码显微镜下进行拍照,并从图像中标记出七个翅脉地标。在MorphoJ中分析翅地标数字坐标。我们的结果验证了使用GM区分入侵种和本土种的可行性。利用翅中央有限数量的地标来应对GM在诱捕鳞翅目害虫方面的挑战。未来可以在综合虫害管理诱捕系统以及入侵物种调查中探索GM在鉴定银纹夜蛾方面新应用的自动化。

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