In collaboration with Payame Noor University and Iranian Society of Physiology and Pharmacology

Document Type : Article

Authors

1 M. A., Department of Biology, Faculty of Basic Sciences, Arak ‎University, Arak, Iran‎

2 Associate Professor, Department of Animal Science, Faculty of ‎Agriculture and Natural Resources, Arak University, Arak, Iran‎

3 Assistant Professor, Department of Biology, Faculty of Basic ‎Sciences, Arak University, Arak, Iran‎

4 Associate Professor, Department of Biology, Faculty of Basic ‎Sciences, Arak University, Arak, Iran‎

Abstract

Tick transmit infective agents to humans and animals, and carriers of parasitic and viral diseases such as the Crimean Congo bleeding fever. The purpose of this study was to identify valuable morphobiometric characters for differentiation of Ixodida order using morphobiometric methods. For this purpose, a total of 186 ticks were identified from the Argasidae family belonging to the two genera of Argas and Ornithodoros, including the species Argas persicus, A. reflexus and Ornithodoros Lahorensis. 413 ticks are from the Ixodidae family, which belongs to 3 genera and 5 species including Rhipicephalus sanguineus, R. turanicus, Hyalomma anatolicum, H. asiaticum, Haemaphysalis sulcata and were identified using several valid identification keys. The study of species diversity and frequency of cattle, sheep and goats in all age groups and both sexes were done in ruminant including cattle, sheep and goats. To this end, 20 stations were selected in the Mashhad Meyghan area and sampling was carried out monthly and during one year from April to March 2017. A total of 18 morphobiometric parameters were determined using calibrated stereomicroscope.  The data were analyzed by PCA method and analyzed using SPSS software (version 16), and analyzed by UPGMA, PCO and PCA methods using MVSP software, then shrubs and the corresponding charts were drawn. In PCA analysis, a total of 4 components of morphobiometric traits were obtained, which explained 91% of the total variance. One-way ANOVA showed a significant difference between between most of the traits.

Keywords

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