Electronic traps for detection and population monitoring of adult fruit flies (Diptera: Tephritidae)

被引:36
作者
Shaked, B. [1 ]
Amore, A. [2 ]
Ioannou, C. [3 ]
Valdes, F. [4 ]
Alorda, B. [5 ]
Papanastasiou, S. [3 ]
Goldshtein, E. [1 ]
Shenderey, C. [1 ]
Leza, M. [4 ]
Pontikakos, C. [6 ]
Perdikis, D. [7 ]
Tsiligiridis, T. [6 ]
Tabilio, M. R. [2 ]
Sciarretta, A. [8 ]
Barcelo, C. [4 ]
Athanassiou, C. [3 ]
Miranda, M. A. [4 ]
Alchanatis, V. [1 ]
Papadopoulos, N. [3 ]
Nestel, D. [9 ]
机构
[1] Agr Res Org, Inst Agr Engn, Rishon Leziyyon, Israel
[2] Council Agr Res & Econ, Fruit Tree Res Ctr, Rome, Italy
[3] Univ Thessaly, Lab Entomol & Agr Zool, Dept Agr Crop Prod & Rural Environm, N Ionia, Volos, Greece
[4] UIB, Lab Zool, Dept Biol, Palma De Mallorca, Illes Baleares, Spain
[5] UIB, Dept Phys, Palma De Mallorca, Illes Baleares, Spain
[6] Agr Univ Athens, Informat Lab, Dept Econ & Rural Dev, Athens, Greece
[7] Agr Univ Athens, Lab Agr Zool & Entomol, Dept Crop Sci, Athens, Greece
[8] Univ Molise, Dept Agr Environm & Food Sci, Campobasso, Italy
[9] Agr Res Org, Inst Plant Protect, Rishon Leziyyon, Israel
关键词
cherry fruit fly; commercial orchards; Ethiopian fruit fly; medfly; Mediterranean; olive fly;
D O I
10.1111/jen.12422
中图分类号
Q96 [昆虫学];
学科分类号
摘要
During the last decades, the economic importance of tephritid fruit flies (FF) has increased worldwide because of recurrent invasions and expansions into new areas, and reduced control capabilities of current control systems. Efficient monitoring systems, thus, are required to provide fast information to act promptly. With this aim in mind, we developed two electronic trap (e-trap) versions for adult FF: one with specific volatiles for male and female adult Ceratitis capitata, and the second, based on the attraction of adult FF to yellow colour, targeting Dacus ciliatus, Rhagoletis cerasi and Bactrocera oleae. In the case of B.oleae, the female pheromone and ammonium bicarbonate were added as synergists. In the two versions, attracted FF were retained in the trap on glued surfaces. Real-time images of the surfaces were automatically taken and transmitted to a server. We tested the two e-trap versions in insect-proof cages, where flies were released and recaptured, and in commercial orchards throughout the Mediterranean: C.capitata in peach orchards in Italy; R.cerasi in cherry orchards in Greece; B.oleae in olive orchards in Spain and in Greece; and D.ciliatus in melons in plastic tunnels in Israel. The e-trap showed excellent abilities to transmit real-time images of trapped FF and a high specificity for trapping different FF species. The ability of the entomologist to correctly classify FF from images in the office was >88%. In addition, average number of flies/trap in e-trap grids did not differ from numbers reported on grids of conventional traps that were operating simultaneously. The e-traps developed and tested in this study provide the basis for the real-time monitoring of FF were no olfactory attractants are available, and for the surveillance of alien FF incursions where generic, but not specific, olfactory attractants exists.
引用
收藏
页码:43 / 51
页数:9
相关论文
共 32 条
[1]  
Baker R.R., Herbert R., Howse P.E., Jones O.T., Identification and synthesis of the major sex pheromone of the olive fly (Dacus oleae), Chemical Communications, 1, pp. 52-53, (1980)
[2]  
Binns M.R., Nyrop J.P., Sampling insect populations for the purpose of IPM decision making, Annual Review of Entomology, 37, pp. 427-453, (1992)
[3]  
Cho J., Choi J., Qiao M., Ji C.-W., Kim H.-Y., Uhm K.-B., Chon T.-S., Automatic identification of whiteflies, aphids and thrips in greenhouse based on image analysis, International Journal of Mathematics and Computers in Simulation, 1, pp. 46-53, (2007)
[4]  
Chung B.-K., Xia C., Song Y.-H., Lee J.-M., Li Y., Kim H., Chon T.-S., Sampling Bemisia tabaci adults using a pre-programmed autonomous pest control robot, Journal of Asia-Pacific Entomology, 17, pp. 737-743, (2014)
[5]  
Crisci C., Ghattas B., Perera G., A review of supervised machine learning algorithms and their application to ecological data, Ecological Modelling, 240, pp. 113-122, (2012)
[6]  
Deqin X., Qiumei Y., Junqian F., Xiaohui D., Jianzhao F., Yaowen Y., Yongyue L., A multi-target trapping and tracking algorithm for Bactrocera dorsalis based on cost models, Computers and Electronics in Agriculture, 123, pp. 224-231, (2016)
[7]  
Economopoulos A.P., Controlling Dacus oleae by fluorescent yellow traps, Entomologia Experimentalis Et Applicata, 22, pp. 183-190, (1977)
[8]  
Epsky N.D., Heath R.R., Exploiting the interaction of chemical and visual cues in behavioral control measures for pest tephritid fruit flies, Florida Entomologist, 81, pp. 273-282, (1998)
[9]  
Epsky N.D., Kendra P.E., Schnell E.Q., History and development of food-based attractants, Trapping and the Detection, Control and Regulation of Tephritid Fruit Flies, pp. 75-118, (2014)
[10]  
Guarnieri A., Maini S., Molari G., Rondelli V., Automatic trap for moth detection in integrated pest management, Bulletin of Insectology, 64, pp. 247-251, (2011)