Efficiency of Four Survey Methods for Thrips at Flowering Stage in Soybean Fields
In order to evaluate the effect of different survey methods in monitoring the occurrence of soybean thrips,this study compared four survey methods(visual inspection method,clapping plate method,netting method and yellow sticky board trapping method)to analyse the community structure,growth and decline dynamics of thrips at soybean flowering time and their advantages and disadvantages in monitoring the occurrence dynamics of thrips.The results showed that Thrips flavus was the dominant species,and the overall trend was gradually increasing during the soybean flowering stage in the fields.The number of Mycterothrips glycines,Frankliniella intonsa,Aeolothrips fasciatus and Hydatothrips dentatus was less in soybean field.The variation trend of the four diversity indexes(Shannon-Wiener,Pielou,Simpson and Margalef)of the clapping plate method and the netting method was consistent,and there was a significant difference with the visual inspection method and the yellow sticky board trapping method.The investigation of the number of thrips by the yellow sticky board trapping method and the visual inspection method were better.The number of thrips monitored by the yellow sticky board trapping method accounted for 53.93%of the total number of thrips collected by the four methods.The number of thrips monitored by the visual inspection method was second only to the yellow sticky board trapping method,accounting for 26.15%of the total.But the accuracy of the species identification by the clapping plate method and the netting method were better.Therefore,the yellow sticky board trapping method is more suitable than visual inspection method,the clapping plate method and the netting method for population growth dynamic investigation of thrips in the field.When the number of thrips is large,it can be combined with the clapping plate method or the netting method to provide an effective basis for monitoring the occurrence of thrips populations and controlling their damage.
国家科技期刊平台
NSTL
万方数据
