Feasibility of using geometric morphometrics on larvae of Loristan newt for population identifications

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Khoshnamvand Hadi; MALEKIAN MANSOUREH; KEIVANY YAZDAN

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Journal: Journal of Animal Research Year:2019 | Volume:32 | Issue:1 Page(s): 16-24

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Title

Feasibility of using geometric morphometrics on larvae of Loristan newt for population identifications

Author(s)

Khoshnamvand Hadi | MALEKIAN MANSOUREH | KEIVANY YAZDAN | Issue Writer Certificate

Keywords

Loristan newtQ1

larvaQ2

geometric morphometricsQ2

Abstract

Lorestan newt (Neurergus kaiseri, Schmidt 1952) is one of the native amphibians inhabiting streams, springs and waterfalls in the mountain regions of south and southwestern Iran. The current study was conducted, for the first time, to investigate the feasibility of using geometric morphometrics on larvae to distinguish the populations of this species. Image processing for morphometric analyses was performed on 112 larvae collected from eight sites. Two-dimensional land marking was used and 19 landmarks were selected for digitization. Morphometric data were then overlaid and analyzed using multivariate statistical methods (PCA and CVA). Results showed morphological differences between larvae of the studied populations and two morphological clusters can be distinguished within the populations. Therefore, due to differences between these populations and the difficulty of distinguishing these larvae based on the color patterns, it is recommended to be more cautious about releasing larvae to the wild.

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APA: Copy

Khoshnamvand, Hadi, MALEKIAN, MANSOUREH, & KEIVANY, YAZDAN. (2019). Feasibility of using geometric morphometrics on larvae of Loristan newt for population identifications. JOURNAL OF ANIMAL RESEARCH (IRANIAN JOURNAL OF BIOLOGY), 32(1 ), 16-24. SID. https://sid.ir/paper/406618/en

Vancouver: Copy

Khoshnamvand Hadi, MALEKIAN MANSOUREH, KEIVANY YAZDAN. Feasibility of using geometric morphometrics on larvae of Loristan newt for population identifications. JOURNAL OF ANIMAL RESEARCH (IRANIAN JOURNAL OF BIOLOGY)[Internet]. 2019;32(1 ):16-24. Available from: https://sid.ir/paper/406618/en

IEEE: Copy

Hadi Khoshnamvand, MANSOUREH MALEKIAN, and YAZDAN KEIVANY, “Feasibility of using geometric morphometrics on larvae of Loristan newt for population identifications,” JOURNAL OF ANIMAL RESEARCH (IRANIAN JOURNAL OF BIOLOGY), vol. 32, no. 1 , pp. 16–24, 2019, [Online]. Available: https://sid.ir/paper/406618/en

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