Morphometric parameters assisted studies on the variations amongst the population of Labeo rohita

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Research Paper 01/12/2014
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Morphometric parameters assisted studies on the variations amongst the population of Labeo rohita

Fayyaz Rasool, Syed Shafat Hussain, Shakeela Parveen, Tanveer Hussin
J. Biodiv. & Environ. Sci. 5(6), 200-206, December 2014.
Copyright Statement: Copyright 2014; The Author(s).
License: CC BY-NC 4.0

Abstract

A study on the variation amongst the different populations of Labeo rohita on the basis of morphometric parameters was conducted. Samples were collected from fish farm having different weight groups of same age. Data regarding the morphogenetic parameters viz., body weight, fork length, total length and lengths of dorsal, caudal, anal, pectoral and pelvic fins of each individual were measured. Analysis of variance (ANOVA) for the different morphometric parameters of study was done using Minitab 16.0. The Pearson correlation analysis of the morphometric parameters was done by XLSTAT 2012 version 1.02. The results showed that positive correlation between the body weight, total length and average length of paired pectoral fins of L. rohita were non-significantly different (P> 0.05), anal fin length was significantly different (P<0.05), and all the remaining parameters were highly significantly different (P<0.01) among the population groups. The correlation of fish body weight and fork length was highly significant (p<0.001) and positive with all the parameters except with the caudal fin which was positively but non-significant in correlation with fork length (p = 161).

Choudhury S, Saikia S, Sougrakpam Brahma P, Dutta K. 2001. Assessment of morphometric variation and establishing taxonomic relationship among six species under Puntius genus. The Ecoscan: Special issue, 1 (1), 233-237.

Choudhury S, Dutta K. 2013. A study on the morphometric variation in Selected Ichthyofauna under Genus Puntius Hamilton-Buchanan (Teleostei: Cyprinidae). IOSR-JPBS. 5(3), 01-06

Cadrin SX. 2000. Advances in morphometric identification of fishery stocks. Reviews in Fish Biology and Fisheries, 1, 91-112.

Faith DP, Reid CAM, Hunter J. 2004. Integrating phylogenetic diversity, complementarily, and endemism for conservation assessment. Conservation Biology, 18, 255-261.

Froese R. 2006. Cube law, condition factor and weight length relationships: history, meta-analysis and recommendations. Journal of Applied Ichthyology, 22, 241–253.

Froese R, Pauly D. 2010. Editors, FishBase, www.fishbase.org

Frimodt C. 1995. Multilingual illustrated guide to the world’s commercial warm water fish Fishing News Books, Osney Mead, Oxford, England. 215p.

Kotttelat M. 2001. Fishes of Laos. WHT Publications Ltd., Colombo 5, Sri Lanka, pp. 198.

Khan HA, Jhingran VG. 1975. Synopsis of biological data on Rohu Labeo rohita (Ham., 1822). FAO Fisheries Synopsis No III. 100.

Langer S, Tripathi NK, Khajuria B. 2013. Morphometric and Meristic Study of Golden Mahseer (Tor Putitora) from Jhajjar Stream (JandK), Indian Research Journal of Animal, Veterinary and Fishery Sciences, 1(7), 1-4.

Quilang JP, Basiao ZU, Pagulayan RC, Roderos RR, Barrios EB. 2007. Meristic and morphometric variation in the silver perch, Leiopotherapon plumbeus (Kner, 1864), from three lakes in the Philippines. Journal of Applied Ichthyology, 23, 561–567.

Rasool F, Qureshi NA, Parveen S, Siddique M, Hameed A, Khan N, Iqbal K. 2013. Morphometric Parameters Based Study of the Hatchery Raised and Natural Populations of Labeo rohita. Pakistan Journal of Zoology, 45(4), 903-907.

Turan C, Erguden D, Gurlek M, Basusta N, Turan N. 2004b. Morphometric structuring of the anchovy (Engraulis encrasicolus L.) in the Black, Aegean and northeastern Mediterranean Seas. Turkish Journal of Veterinary and Animal Science, 28, 865-871.

Turan C, Oral M, Ozturk B, Duzguneş E. 2006. Morphometric and meristic variation between stocks of Bluefish (Pomatomus saltatrix) in the Black, Marmara, Aegean and northeastern Mediterranean Seas. Fisheries Research, 79(1-2), 139–147.

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