<p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>

Varroa destructor Anderson & Truman is the most serious pest of honey bee colonies all over the world. Its specimens were assessed by morphometric and geometric morphometric methods using six morphometric traits including body length and width, length and width of the right metapodal shield, le...

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Main Authors: Shahram Dadgostar, Jamasb Nozari
Format: Article
Language:English
Published: Acarological Society of Iran 2018-01-01
Series:Persian Journal of Acarology
Subjects:
Online Access:https://www.biotaxa.org/pja/article/view/32063
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author Shahram Dadgostar
Jamasb Nozari
author_facet Shahram Dadgostar
Jamasb Nozari
author_sort Shahram Dadgostar
collection DOAJ
description Varroa destructor Anderson & Truman is the most serious pest of honey bee colonies all over the world. Its specimens were assessed by morphometric and geometric morphometric methods using six morphometric traits including body length and width, length and width of the right metapodal shield, length of epigynal and the anal shield for classical morphometrics and six landmarks in ventral surface of mite's body, in seven provinces including Ardabil, Markazi, Qom, Qazvin, Alborz, North Khorasan, and Semnan. Twenty and ten individuals were used for morphometric and geometric morphometric studies, respectively. The ventral surface of each mite slide was prepared and used Digimizer and Tps package software for morphometric and geometric morphometric measurements, respectively. Data were analyzed with Past software. Furthermore, principal component analysis (PCA) was used for both two methods. In addition, Cluster analysis was used to categorize specimens of provinces. The results demonstrated significantly morphometric and geometric morphometric (or shape and size) differences among the specimens of provinces. Qazvin and Ardabil were located in one group with the PCA and Cluster analysis in the classical morphometric method and Alborz mite's dimensions showed a significant difference in morphometric measurements with other provinces. However, in the geometric morphometric method, Ardabil, Markazi, North Khorasan, and Semnan specimens were located in another group. The difference in distribution can be related to geographical factors and methods of measurement.
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spelling doaj-art-77272c4c70bb48db9fc9f394dab42abb2025-08-20T02:29:15ZengAcarological Society of IranPersian Journal of Acarology2251-81692018-01-017110.22073/pja.v7i1.32063<p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>Shahram DadgostarJamasb Nozari Varroa destructor Anderson & Truman is the most serious pest of honey bee colonies all over the world. Its specimens were assessed by morphometric and geometric morphometric methods using six morphometric traits including body length and width, length and width of the right metapodal shield, length of epigynal and the anal shield for classical morphometrics and six landmarks in ventral surface of mite's body, in seven provinces including Ardabil, Markazi, Qom, Qazvin, Alborz, North Khorasan, and Semnan. Twenty and ten individuals were used for morphometric and geometric morphometric studies, respectively. The ventral surface of each mite slide was prepared and used Digimizer and Tps package software for morphometric and geometric morphometric measurements, respectively. Data were analyzed with Past software. Furthermore, principal component analysis (PCA) was used for both two methods. In addition, Cluster analysis was used to categorize specimens of provinces. The results demonstrated significantly morphometric and geometric morphometric (or shape and size) differences among the specimens of provinces. Qazvin and Ardabil were located in one group with the PCA and Cluster analysis in the classical morphometric method and Alborz mite's dimensions showed a significant difference in morphometric measurements with other provinces. However, in the geometric morphometric method, Ardabil, Markazi, North Khorasan, and Semnan specimens were located in another group. The difference in distribution can be related to geographical factors and methods of measurement. https://www.biotaxa.org/pja/article/view/32063Cluster analysisgeometric morphometricsmorphometricsPCA analysisvarroa mite
spellingShingle Shahram Dadgostar
Jamasb Nozari
<p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
Persian Journal of Acarology
Cluster analysis
geometric morphometrics
morphometrics
PCA analysis
varroa mite
title <p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
title_full <p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
title_fullStr <p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
title_full_unstemmed <p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
title_short <p><strong>Classical and geometric morphometric methods reveal differences between specimens of <em>Varroa destructor</em> (Mesostigmata: Varroidae) from seven provinces of Iran</strong></p>
title_sort p strong classical and geometric morphometric methods reveal differences between specimens of em varroa destructor em mesostigmata varroidae from seven provinces of iran strong p
topic Cluster analysis
geometric morphometrics
morphometrics
PCA analysis
varroa mite
url https://www.biotaxa.org/pja/article/view/32063
work_keys_str_mv AT shahramdadgostar pstrongclassicalandgeometricmorphometricmethodsrevealdifferencesbetweenspecimensofemvarroadestructoremmesostigmatavarroidaefromsevenprovincesofiranstrongp
AT jamasbnozari pstrongclassicalandgeometricmorphometricmethodsrevealdifferencesbetweenspecimensofemvarroadestructoremmesostigmatavarroidaefromsevenprovincesofiranstrongp