author(s)
Vikas, Abhijit Mallik, Sathish Chennuri, B Madhusudhana Rao, Shyam Kumar and Munish Kumar

abstract
The present investigation was conducted to delineate the stock structure of Labeo calbasu based on morphometric characters. A total of 178 specimens collected from five different locations of river Narmada and Mattur dam of river Cauvery, located in Madhya Pradesh and Tamil Nadu respectively during October 2015 to February 2016. Extracted morphometric data subjected to Univariate ANOVA, discriminate function analysis (DFA), multivariate ANOVA, and principal component analysis (PCA). In DFA, the assignments of individuals 70.78% correctly classified. SDFA classification matrix has been able in showing an accurate classification in 70.7865% cases. It is found that Mettur dam and Khandawa stocks are more similar with 50% accuracy. Six cases of Hosangabad stock (with 85.714% accuracy) predicted as Jabalpur stock and two cases predicted as Baitul stock by the model while Baitul stock and Khandawa stock reveal 61.538% and 78.947% classification accuracy respectively. A scatter plot of canonical scores for Root 1 and Root 2 reveal more discrimination among the populations. The results reveal different stocks of Labeo calbasu in the rivers of Narmada and Cauvery.