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Biometric study and length–weight relation of the sea-bream Sparus aurata (sparidae) in the two gulfs of Skikda and Annaba (Northern east of Algeria)

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Research Paper 01/07/2017
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Biometric study and length–weight relation of the sea-bream Sparus aurata (sparidae) in the two gulfs of Skikda and Annaba (Northern east of Algeria)

Faiza Oudjane, Naziha Bourenane, Tahar Wafa
Int. J. Biosci.11( 1), 83-88, July 2017.
Certificate: IJB 2017 [Generate Certificate]
Key: AlgeriaBiometricMorphologicSparidaeSparus aurata

Abstract

This study deals with growth biometrics of royal sea-bream Sparus aurata, Sparidae of Annaba and Skikda gulfs (Northeast of Algeria). Several biometric studies were carried out on Algerian northeastern coast’s sea bream “sparidas” (Derbal et al., 2007; Chaoui et al., 2001), but the main part of the investigated subjects is Sparus aurata of lagoon origin.  This study aims at bringing complementary knowledge to further studies, on royal sea-bream marinates, in the gulf of Annaba where these species take advantage of the Mediterranean climate, in order to make new data available, referring to the gulf of Skikda.  All the measures were taken from April 2013 to May 2014, on149 specimens, of a length ranging between 17 cm and 48 cm, and a weight ranging between 65 g and 1440 g.In biometrics differents aspects are dealth with,regarding the relation Length (L)–weight(W). The morphological study shows that metric characters concerned do not grow all in isometric way compared tooverall or cephalic length. Cases of raising or undervaluing allometry are highlighted. The number of branchiospines on the level of the first left branchial arc is in fact the numerical character representing greatest dispersion.The number of branchiospines on its first branchial left arc holds a modal value equal to 12. In general, the weight of S. aurata grows proportional to its length, mathematical expression of length-weight relation is monthly and globally established to the whole population. The results highlight a highly significant correlation between the general length and weight of the fish.

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