Sivas İli Ormyrus Westwood, 1832 (Ormyridae: Hymenoptera) türleri üzerinde nümerik taksonomik çalışmalar

Çalışmanın asıl amacı nümerik taksonomik analiz ile Ormyrus cinsine ait türlerin teşhisinde kullanılan karakterlerin kalite ve güvenilirliğini ve türler arasındaki akrabalık ilişkilerini belirlemektir. Çalışılan örnekler 2010 yılında, Sivas ilinden toplanmıştır. Ormyrus Westwood (Ormyridae: Hymenoptera) cinsine ait 5 türün dişi bireyleri incelenmiştir. 249 örnek için 100 morfolojik karakter ölçülmüştür. PAST bilgisayar paket programı kullanılarak Temel Bileşenler Analizi, Temel Koordinat Analizi ve Kümeleme Analizi olmak üzere üç farklı nümerik taksonomik analiz yapılmıştır. Yapılan Temel Bileşen ve Koordinat analizleri sonucunda, belirlenen karakterlerin, Orymrus cinsine ait 5 türü tamamen birbirinden ayıracak yeterlilikte ve güvenilirlikte olduğu gösterilmiştir. Yapılan kümeleme analizi ile Orymrus cinsine ait 5 türün birbirleriyle olan akrabalık dereceleri belirlenerek, bu türlerin iki ayrı ana grup oluşturduğu gösterilmiştir. Mevcut teşhis anahtarlarının güvenilirliği ve teşhislerde kullanılabilecek yeni karakterler belirlenmiştir.

Numerical taxonomy of Ormyrus Westwood, 1832 (Ormyridae: Hymenoptera) species based on general morphology in Sivas

The main objectives of the study were to determine the adequacy and reliability of characters used for identification of Ormyrus (Ormyridae: Hymenoptera) species, and the relationships between species within the genus by numerical taxonomic analysis. The specimens studied were collected in Sivas Province in 2010. Individual females of five species in to Ormyrus were examined. One hundred morphological characters were measured for 249 specimens. Three different numeric taxonomic analyses were performed, principal component, principal coordinate, and cluster analyses, using computer package software PAST. Principal components and coordinate analyses revealed the with characters of sufficient value to reliability distinguish five species of Ormyrus. Examination of the relationship between the five species by clustering analysis showed that the species belonged to two different main groups. The robustness of the currently available identification keys and new characters that could be used for of species identification was also determined.

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