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Abstract

Stock Structure of the Critically Endangered Clupisoma garua (Hamilton, 1822): An Investigation Based on Discriminant Analysis Approach

Ashfaqun Nahar, Md Reaz Chaklader, Muhammad Abu Bakar Siddik, Ilham Ilham, Hung Duc Pham and Sukham Munilkumar

The stock structure of critically endangered Clupisoma garua were examined based on morphometric characters. A total of 133 specimens were collected from four rivers located in the southern coastal zone of Bangladesh. Data were subjected to principal component analysis, discriminant function analysis and univariate analysis of variance. In discriminant function analysis, plotting first and second discriminant functions explained 88.4% and 9.9% of the between-group variation for morphometric analyses indicating the existence of three morphologically differentiated groups of C. garua. The first principal component (PC1) explained 82.41% of the total variation, while PC2 explained 4.62%. The step-wise discriminant function analysis (DFA) retained six variables that significantly discriminated the populations. Using these variables, 82.0% of the original groups were classified into their correct samples and 79.70% of the cross validated groups omitting one procedure were classified into their correct samples. The result obtained from the study noticed significant differences among the populations.