| Objective To investigate and master the basic situation of flies in Yinchuan,such as population composition,density distribution and seasonal fluctuation,and the effect of meteorological factors on the density of flies,so as to establish the basic database of flies in this area,Providing data support for the prevention and control of flies.At the same time,the research on insecticide resistance of housefly,to understand the dynamic change of the various regions of housefly resistance to insecticides and make reasonable plan of chemical reagents at the same time to improve the efficacy of killing and delay the growth rate of drug resistance.Finally,I want to achieve the goal of not polluting the environment and protecting people's health and provide scientific basis for prevention and control of infectious diseases.Methods 1.The distribution and growth of flies:During 2013 to 2015 in YinChuan,using cage trap method to capture flies,all data were analyzed using Excel 2007,Using rank sum test to analyze the density of flies in different years,areas.habitats and months,the seasonal fluctuations of flies using circular distribution analysis after the identification of statistics.2.The effect of meteorological factors on the density of flies:The main meteorological data of Yinchuan city from 2013 to 2015 were collected,after expanding the data,the data were processed by spss19.0,analysis of correlation between flies density and meteorological factors by Spearman,multiple linear stepwise regression analysis was used to obtain the most significant meteorological factors and the optimal regression equation was obtained.3.Monitoring of insecticide resistance of housefly:Titration method.Using DPS software for data statistics after the death of the flies,and obtain the slope B value and its standard deviation of the regression line.Results1.The distribution and growth of fliesFlies in Yinchuan,identified by 3 families,7 genera and 10 species.The Musca domestica,Lucilia sericata,black flies,Lucilia illustris was the dominant species.City flies,Chrysomya megacephala and Lucilia cuprina,muscina stabulans common population,the other is rare.The fly species are different in different years.In 2013,Musca domestica,Lucilia sericata,black flies were the dominant species,they account for 90.52%of the total.In 2014.Musca domestica and Lucilia illustris were the dominant species,they account for 64.79%of the total.In 2015,Musca domestica and Lucilia sericata were the dominant species,they account for 59.08%of the total.Musca domestica is the main species every year,constituent ratio were 38.34%?25.67%?37.06%.In different years,there are also different dominant species.The fly species are different in different areas.Musca domestica,Lucilia sericata is the main species in various areas,but each areas also has a different advantage dominant species,for example black Sarcophagidae and Lucilia illustris constitute ratio is high in XingQing,JinFeng and YongNing.Musca sorbens constitute ratio is high in XiXia,LingWu and HeLan.The fly species are different in different environment.Musca domestica and Lucilia species is the main fly species in different places.In addition,we catched the most Musca sorbens in the farmer's market,catched the most Lucilia illustris in the dining place and catched the most black Sarcophagidae and Lucilia illustris in the green belt and residential district.The fly species are different in different months.In May,Musca domestica and Lucilia sericata were the dominant species.In June,Musca domestica and Lucilia illustris were dominant species.In July,Musca domestica were dominant species.In August,Musca domestica and Lucilia sericata were the dominant species.In September and October,Musca domestica were dominant species.A relatively high ratio of Musca domestica was the dominant species.there are other dominant species of flies each month.The density of flies was increasing gradually from 2013 to 2015 in Yinchuan,there was no significant difference in the density of flies in differed years(?2=0.341.P>0.05);There was a significant difference in the density of flies population in different years(?2=21.487,P<0.05).The density of flies in six areas were:Xingqing,Jinfeng,Yongning,Helan,Lingwu,Xixia.and there was a significant difference in the density of flies in different monitoring areas(?2=12.948,P<0.05);There was a significant difference in the density of flies population in different monitoring areas(?2=35.831,P<0.05).The density of flies in four different habitats were:green belt,residential area,food and beverage industry,farmers market,there was a significant difference in the density of flies in different habitats(?2=10,121,P<0.05);but there was a significant difference in the density of flies population in different habitats[?2=32.993,P<0.05);The density of flies in defferent months were:August,June,July,May,Septenber,October,there was a significant difference in the density of flies in different months(?2=13.653,P<0.05);There was a significant difference in the density of flies population in different months(?2=36.998,P<0.05).In Yinchuan urban district,The flies' seasonal variation showed obvious seasonal characteristic from 2013 to 2015.The flies' average density peak date was july.23 in the past three years,Peak period from June.24 to August.20(58 days).In 2013,flies density peak day is July.12,the peak period is from June.1 to August.21(82 days);In 2014,flies density peak day is July.15,the peak period is from June.11 to August.17(67 days);In 2015,flies density peak day is August.3,the peak period is from July.4 to September.1(58 days).The seasonal growth and decline of flies in different monitoring areas and habitats were unimodal type,The peak density of flies mainly concentrated from June to August.2.Effects of meteorological factors on the density of fliesThere was a positive correlation between the density of flies and air temperature and water vapor pressure,negative correlation with atmospheric pressure and there was no correlation between relative humidity,monthly total rainfall,monthly cumulative sunshine hours and monthly temperature difference in 7 meteorological factors.Considering the practicability and convenience of the prediction,the ti(the previous month's temperature)is chosen as the independent variable,the regression equation of the dependent variable as the logarithm of the density of flies was used to predict the density of flies(lg(y)= 0.097t1-1.467).3.Monitoring of insecticide resistance of houseflyIn YinChuan,The resistance ratio of housefly to insecticides is DDT,Deltamethrin,Beta cypermethrin,chlorpyrifos,propoxur,The housefly had high resistance to cypermethrin,deltamethrin and DDT,Resistance to DDT is as high as 308 times;The resistance to chlorpyrifos was low,to propoxur was the most sensitive.Deltamethrin resistance increased by 188 times,propoxur resistance increased 1.54 times from 1982 to 2015 years.Conclusion1.In Yinchuan City,the composition of flies has changed little in the past ten years,Musca domestica,Luc ilia,Sarcophagidae were dominant species,among them,Musca domestica is the most important species.2.The composition and density of flies were different in different regions,different habitats and different months.3.The fliesseasonal variation showed obvious seasonal characteristic,the peak period of flies was concentrated in June,July and August.4.The effect of temperature on the density of flies is remarkable,The trend of the density of flies can be predicted by the temperature value of one month ahead(1g(y)= 0.097t1-1.467).5.We should choose insecticides reasonably according to the resistance,in order to improve the control effect of flies and delay the growth of drug resistance. |
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