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Growth is one of the most important characteristics of cultured species. Growth curve provide a visual assessment of growth as a function of time and prediction of body weight at a specific age. Therefore, this study was conducted to develop growth curve for Clarias magur and to evaluate the growth curve parameters. 160 numbers of fingerlings were collected from river Godavari, Hooghly and Mahanadi and the no of individuals from each river are 74, 46 and 40 respectively. The collected individuals were stocked in 5 cemented tanks for 45 day and thereafter a total of 100 animals transferred to a cemented pond with soil based bottom. Sampling was performed and data recorded for body weight, total length and body depth in every 10 days for three months culture period. The data obtained was analyzed using SAS software (Ver. 9.2). Models were tested for goodness of fit for determining growth curves. The model was evaluated according to determine coefficient (R2) and Error sum of square (ESS). The R2 values for the three stocks for body weight, total length and body depth was measured. When considering R2 value for body weight Mahanadi stock showed highest R2value i.e. 68, whereas for total length and for body depth Hooghly stock showed highest R2 value i.e. 78 and 83 respectively. Multiple regression models showed R2 values ranged between 54 to 91. The linear model registered low ESS value (204.1)for body weight of Godavari stock, for body depth the values recorded was (1.3) in case of Hooghly stock and for total length the value recorded was (11.6) with Hooghly stock being the least. Multiple regression model showed lowest ESS value for Mahanadi stock. These growth comparisons can be considered as a baseline study for selective breeding programme in C. batrachus. [ABSTRACT FROM AUTHOR]

Coilia dussumieri (Valenciennes, 1848) commonly called as golden anchovy, constitutes a considerable fishery in the northern part of both the west and east coasts of India. Despite its clear-cut geographic isolation, the species is treated as a unit stock for fishery management purposes. We evaluated 32 microsatellite primer pairs from three closely related species (resource species) belonging to the family Engraulidae through cross-species amplification in C. dussumieri. Successful cross-priming was obtained with 10 loci, which were sequenced for confirmation of repeats. Loci were tested for delineating the genetic stock structure of four populations of C. dussumieri from both the coasts of India. The number of alleles per locus ranged from 8 to 18, with a mean of 12.3. Results of pairwise F ST indicated genetic stock structuring between the east and west coast populations of India and also validated the utilization of identified microsatellite markers in population genetic structure analysis.

The golden anchovy, Coilia dussumieri, though possessing discontinuous distribution along northeast and northwest coasts of India, it is being managed as unit stock for fishery assessment purposes. By considering the need for stock specific management of the species, mitochondrial ATP synthase 6 and 8 (ATPase 6/8) genes were analyzed for delineating genetic stock structure of the species. Sequence analysis revealed a total of 34 haplotypes across four populations from both the east and west coasts of India. Haplotype diversity (h) was found in the range of 0.7421-0.9368. Similarly, nucleotide diversity (π) varied from 0.0012 to 0.0025. AMOVA results indicated a high total variance of 72.66% between east and west coast populations and less (1.34%) among populations within the respective coast. Phylogenetic tree constructed using pair wise FST also indicated the genetic divergence of populations of east and west coasts of India. The findings of the present study will be helpful in developing stock specific management measures for conservation and sustainable utilization of the species.