2019
DOI: 10.37077/25200860.2019.207
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Taxonomic Study of some Species of Flower Flies (Diptera: Syrphidae) at Basrah Province

Abstract: The current study were carried out to identify of five species belong to the flower fly family Syrphidae, depending on male genitilia. They included Episyrphus balteatus De Geer, 1776; Eupeodes corollae Fabricius, 1794; Sphaerophoria scripta Linnaeus, 1758; Eristalinus aeneus Scopoli, 1763; Eristalis tenax Linnaeus, 1758, from some Basrah province.

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“…Generally, appropriate identification is indispensable for best control procedures [9]. Insects, including mosquitoes can be classified using their morphological characteristics, which profoundly depend on numerous exterior traits [10]. However, studies into C. pipiens have been very limited in their molecular description.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, appropriate identification is indispensable for best control procedures [9]. Insects, including mosquitoes can be classified using their morphological characteristics, which profoundly depend on numerous exterior traits [10]. However, studies into C. pipiens have been very limited in their molecular description.…”
Section: Introductionmentioning
confidence: 99%
“…A proper diagnosis is necessary for mosquitoes control actions (Farajollahi & Price, 2013). Mosquitoes and other insect species can be classified using morphological identification, which heavily relies on various exterior traits (Tewfick et al, 2014;Atta et al, 2019) (SEM) was used for the identification because it produces a precise 3-dimensional microscopic image of the surface structure of biological materials (SEM) gives information concerning morphology (the shape and size of the particles which make up the object),topography (the surface features of an object), composition (the elements and compounds which make up the object and their relative amounts) and crystallographic information (how the object crystallizes). It has allowed scientists to obtain a better knowledge of microstructure by offering samples with unparalleled optical magnification.…”
Section: Introductionmentioning
confidence: 99%