Morphological Characteristics Analysis of Megalurothrips usitatus
Cowpea is a kind of bulk bean vegetable,and Megalurothrips usitatus,as its primary pest in recent years,harms flowers and pods,destroys growth points,seriously affects the normal development of cowpea,and leads to yield reduction or even total loss.However,Megalurothrips usitatus is tiny and well-hidden,making it difficult for the naked eye.Therefore,the current understanding of the morphological characteristics of Megalurothrips usitatus on cowpea needs to be furthered.In this paper,the specimen of Megalurothrips usitatus on cowpea was prepared by the method of preparation.Each segment length and area of the adult Megalurothrips usitatus,and each segment area of its antennae were precisely measured to study its morphological characteristics.The results showed that the average body length of female adults of Megalurothrips usitatus on cowpea was 1 520.10 μm,and the average body length of male adults was 1 487.90 μm.The head accounted for about 11.4%of the body length,the chest accounted for about 30.45%of the body length,of which the mid-dorsal and the posterior dorsal plate each carried a pair of wings.There were two brown transverse bands at the end and middle of the forewing,accounting for 11.2%and 34.6%of the wing length,respectively.The abdomen accounted for the most significant proportion,and the abdominal body color was distributed in white and brown.The thrips antennae were divided into eight sections:a pedicel,a scape,and six flagellomeres.There was an area ratio of 120∶109∶137∶139∶73∶114∶20∶14 among the eight sections.The basal scape and pedicel played a supporting role,and the areas of the six flagellomeres at the end were different,enabling the antennae to flexibly capture volatile information compounds released by host plants in the air to find suitable host plants more effectively.The unique brown bands of forewings and eight-segmented antennae of Megalurothrips usitatus can be used as a rapid method to identify thrips species,providing an essential scientific basis for future identification and prevention management.
万方数据
维普
