Taxonomic validation of five fish species of subfamily Barbinae from the Ganga river system of northern India using traditional and truss analyses

Morphometric differences were investigated among five fish species of subfamily Barbinae from the Ganga river system through traditional morphometrics and the truss network system. Species taken into account were Puntius chola (Hamilton 1822), Puntius sophore (Hamilton 1822), Pethia ticto (Hamilton...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2018-10, Vol.13 (10), p.e0206031-e0206031
Main Authors: Gupta, Deepmala, Dwivedi, Arvind Kumar, Tripathi, Madhu
Format: Article
Language:English
Subjects:
Animal taxonomy
Biology and Life Sciences
Cluster analysis
Computer and Information Sciences
Cyprinidae
Earth Sciences
Ecology and Environmental Sciences
Fish
Fisheries management
Function analysis
Heterogeneity
Mathematical analysis
Medicine and Health Sciences
Morphometry
Network analysis
Phylogenetics
Physical Sciences
Physiological aspects
Principal components analysis
Research and Analysis Methods
Rivers
Species
Species classification
Variance
Zoology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Morphometric differences were investigated among five fish species of subfamily Barbinae from the Ganga river system through traditional morphometrics and the truss network system. Species taken into account were Puntius chola (Hamilton 1822), Puntius sophore (Hamilton 1822), Pethia ticto (Hamilton 1822), Pethia conchonius (Hamilton 1822) and Systomus sarana (Hamilton 1822). Although, taxonomists carefully examine external body features to discriminate these species, there is still a risk of misidentification during a visual assessment. In the present study, the traditional morphological analysis included 22 morphometric measurements and 10 meristic counts. Truss network system of 14 landmarks was interconnected to yield 91 distance variables. The principal component analysis (PCA), discriminant function analysis (DFA) and cluster analysis (CA) were employed in order to determine morphometric variations. In traditional analysis, 29 characters out of 32 were found significant (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0206031