Abstract:Objective To investigate the population and density of flies in Ningbo, Zhejiang province, China, the resistance levels of Musca domestica to commonly used insecticides, and to provide a scientific basis for fly prevention and control. Methods The cage trapping method was used to investigate the fly population and density from April to November, 2019, and the topical application method was used to measure the resistance of the wild population of M. domestica in Ningbo to five commonly used insecticides. SPSS 22.0 software was used to perform the probit regression analysis. The median lethal dose (LD50) was calculated, and the wild population and sensitive population were compared in terms of LD50 to calculate resistance ratio. Results The total fly density in Ningbo, 2019 was 2.39 flies/cage, and M. domestica accounted for 36.00% of the total catch. Among various counties(cities, districts), Beilun district had the highest total fly density (4.73 flies/cage), and Zhenhai district had the lowest (0.42 flies/cage). Among various habitats, farmers' market had the highest fly density (3.05 flies/cage), and the lowest was found outside restaurants (1.97 flies/cage). The total fly density peaked in August. The resistance ratio of M. domestica in Ningbo to propoxur was >269.52 times, and those to deltamethrin, DDVP, beta-cypermethrin, and permethrin were 240.78, 46.89, 34.83, and 28.56 times, respectively. Conclusion As the dominant fly species in Ningbo, M. domestica has developed relatively high resistance to propoxur, deltamethrin, DDVP, beta-cypermethrin, and permethrin. It is suggested that scientific management and technical guidance for the wise use of insecticides should be strengthened in future to delay the development of resistance.
马敏, 雷松, 马晓, 陈小英, 杨思嘉, 孙斌. 浙江省宁波市2019年蝇类监测及家蝇抗药性研究[J]. 中国媒介生物学及控制杂志, 2020, 31(5): 565-570.
MA Min, LEI Song, MA Xiao, CHEN Xiao-ying, YANG Si-jia, SUN Bin. Surveillance of fly population and insecticide resistance of Musca domestica in Ningbo, Zhejiang province, China, 2019. Chines Journal of Vector Biology and Control, 2020, 31(5): 565-570.
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