重大农业入侵害虫番茄潜叶蛾检测鉴定技术研究进展  

Advances in identification techniques for Tuta absoluta(Meyrick),a notorious invasive agricultural insect pest

作　　者：姚若楠 王玉生 张桂芬[2] 谭琳[1] YAO Ruo-Nan;WANG Yu-Sheng;ZHANG Gui-Fen;TAN Lin(College of Plant Protection,Hunan Agricultural University,Changsha 410128,China;State Key Laboratory for Biology of Plant Diseases and Insect Pests/Key Laboratory of Invasive Alien Species Control of Ministry of Agriculture and Rural Affairs/Institute of Plant Protection,Chinese Academy of Agricultural Sciences,Beijing 100193,China)

机构地区：[1]湖南农业大学植物保护学院,长沙410128 [2]中国农业科学院植物保护研究所/植物病虫害综合治理全国重点实验室/农业农村部外来入侵生物防控重点实验室,北京100193

出　　处：《环境昆虫学报》2025年第1期12-21,共10页Journal of Environmental Entomology

基　　金：国家重点研发计划(2021YFD1400200);湖南省自然科学基金(2024JJ6238)。

摘　　要：番茄潜叶蛾Tuta absoluta(Meyrick)(异名Phthorimaea absoluta)是一种多食性的重大农业入侵害虫,主要危害番茄、马铃薯等茄科作物,可造成番茄减产50%~80%,甚至绝产绝收,有“番茄埃博拉病毒”之称,2017年首次在我国新疆被发现,已在我国局部地区暴发。番茄潜叶蛾常隐蔽发生,且在我国的适生区广泛,主要随番茄苗及果实的销运进行远距离传播,进一步扩散势头明显。因此,亟需研发高效低成本的番茄潜叶蛾检测鉴定技术和方法,进而实现对重大入侵物种的及早发现和提前预警,降低农业经济损失。目前,用于番茄潜叶蛾的检测鉴定技术方法主要包括传统形态学鉴定、分子生物学检测以及基于人工智能的图像识别技术等,本文综述了番茄潜叶蛾检测鉴定技术的研究现状并展望了其发展趋势,旨在为延缓番茄潜叶蛾传播扩散与对靶施策提供技术支撑。The tomato leaf miner,Tuta absoluta(Meyrick),also known as Phthorimaea absoluta,is a significant polyphagous invasive agricultural pest.It primarily infests Solanaceae crops,such as tomatoes and potatoes,and can cause tomato yield losses of 50%~80%,or even complete crop failure.Therefore,as the“Ebola virus of tomatoes”,T.absoluta was first found in Xinjiang,China,in 2017,and has broken out in several regions of China.T.absoluta often occurs covertly,and its suitable habitats are widespread in China.This pest can transmitted over long distances through the transport of tomato seedlings and fruits,indicating a clear trend of further spread.Therefore,there is an urgent need to develop efficient and lowcost detection and identification technologies and methods for T.absoluta,in order to achieve early detection and advance warning of this significant invasive species.Currently,the primary techniques used to identify T.absoluta include traditional morphological identification methods,molecular biological detection techniques,and artificial intelligence-based image recognition methods.In this paper,the research status of detection and identification technology of T.absoluta was reviewed,and its development trend was prospected,aiming at providing technical support for delaying the spread and diffusion of T.absoluta and targeting strategies.

关 键 词：番茄潜叶蛾 形态学鉴定 分子检测 人工智能 

分 类 号：Q968.1[生物学—昆虫学]