Differentiation of intraspecific phenotypic plasticity of elongate glassy perchlet, Chanda nama: Insights into landmark-based truss morphometric and meristic variations

• Main Authors: Kamrun Naher Azad, Md. Sarower-E- Mahfuj, Towsif Iqbal, Khairun Naher Azad, Md. Arif Imtiaz Shafaq
• Format: Article
• Language: English
• Published: Network for the Veterinarians of Bangladesh 2020-12-01
• Series: Journal of Advanced Veterinary and Animal Research
• Subjects: meristic; morphometric; truss-based morphometrics; chanda nama; bangladesh
• Online Access: http://www.ejmanager.com/fulltextpdf.php?mno=126388

Objective: Understanding intraspecific phenotypic plasticity is a prerequisite to fish stock identifi¬cation and sustainable fisheries management. In this study, we assessed intraspecific phenotypic plasticity in terms of meristic and morphometric characters of wild populations of elongate glassy perchlet, Chanda nama from two different rivers, namely Madhumati River Narail (MRN) and Tulshiganga River Jaypurhat (TRJ), and an ox-bow lake, Jhapa Baor Jashore (JBJ) in Bangladesh. Materials and Methods: In this study, six meristics, 15 conventional morphometrics, and 23-truss-based morphometrics were subjected to a one-way analysis of variance (ANOVA), followed by the Tukey-HSD test. The mean values of three meristic counts and nine conventional and 12 truss-based morphometrics demonstrated significant differences in the ANOVA test. Furthermore, principal component analysis (PCA) and discrimination function analysis (DFA) were performed separately using conventional and truss-based morphometric data. Results: In PCA analysis, four principal components were extracted and cumulatively demon¬strated 51.848%. On the contrary, two discriminant functions (DF1, 63.5%; DF2, 36.5%) resulted from DFA analysis. In the bi-plot alignment from the discriminant space, all individuals were exceedingly separated among the three inhabitants. A dendrogram developed using conventional and truss morphometric characters confirmed that two clusters were formed among three pop¬ulations. The TRJ population formed a distinct cluster, and the JBJ population formed a different cluster with a subcluster of MRN. In the discriminant function analysis, precise classification out¬comes displayed 82% of individuals into their unique populations, whereas 66.9% of individuals were categorized as a cross-validated assemblage. Conclusion: The baseline information resulting from the current study would be useful for envi¬ronmental studies and further conservation of glassy perchlet populations in Bangladesh. [J Adv Vet Anim Res 2020; 7(4.000): 585-596]