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Research Detail

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M. R. Islam
Department of Fisheries Biology and Genetics, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

M. G. Azom
Faculty of Fisheries, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

For evaluation of Fulton’s condition factor (CFf), relative body weight (BWr) and form (a3.0) factor affecting growth, 5 fishes (Aspidoparia jaya, Gagata cenia, G. youssoufi, Salmophasia bacaila and S. phulo) were collected from the Atari River in Dinajpur district of Bangladesh. Signifiant differences (p < 0.05) were recorded among the values of CFf (0.47-1.56) but not for BWr (79.60- 128.39). Based on CFf values, analysis of similarities (ANOSIM, p < 0.01) revealed that maximum distances (R = 0.9946) were found between G. youssoufi and S. bacaila while lowest (R = 0.2175) between G. cenia and S. phulo. Using two-dimensional nMDS scaling of CFf and BWr, G. youssoufi showed good health condition (CFf = 1.22±0.01; BWr = 100.63±0.79) and were separated (stress = 0.0003) from other fishes. Lowest a3.0 value was noted for S. bacaila (0.004) and highest for G. youssoufi (0.012). Therefore, G. youssoufi showed healthier and former body with more adaptability in this river than those of others. These are the first records for proper management of above mentioned fish species and future research in the near future.

  Growth Factor; Small fishes; Atrai river
  Dinajpur district of Bangladesh.
  00-07-2015
  00-12-2015
  Variety and Species
  Fish


The Atrai River, major river in Dinajpur district of Bangladesh, is a suitable ground for 74 freshwater fishes where Aspidoparia jaya, Gagata cenia, G. youssoufi, Salmophasia bacaila and S. phulo are common native species. Therefore, aim is to explore suficient information on CFf, BWr and a 3.0 for these small fishes (except G. cenia in the Atrai River which might be helpful as a guidance future research workers

Five fish species (A. jaya, G. cenia, G. youssoufi, S. bacaila and S. phulo) were caught monthly (by fishermen) using seine net (15 × 3.5 m2, 4 mm), gillnet (12 × 0.9 m2, 15 mm) or cast net (4 × 6.75 m2, 8 mm) from July to December, 2015 in the Atrai River (25.924° N 88.724° E) of Dinajpur district of Bangladesh. The captured fishes were immediately (within 1.5 hours) transported to laboratory using ice box. Total length (TL) and standard length (SL) were measured with a vernier caliper to the nearest 0.1 cm. Body weight (BW) were taken with a digital balance (HD-602ND, MEGA, Japan) to the nearest 0.1 g. Length-weight relationships (LWRs) were calculated through logarithmic transformation of linear regression equation as log BW = log a + b log TL, where BW is body weight (g), TL total length (cm) of fishes, a intercept and b slope of regression curve (Islam et al., 2017; Islam et al., 2018). The log-log plots for LWRs were exploited to eliminate the outliers (Froese, 2006). To estimate the condition (Fulton’s, CFf and relative body weight, BWr) and form (a3.0) factors, regression parameters a and b were obtained from previously calculated LWRs (log TL vs. log BW) followed by Islam and Mia (2016). Where, the earlier values of a and b are noted as 0.010 and 2.899 for A. jaya, 0.006 and 3.059 for G. cenia, 0.012 and 3.004 for G. youssoufi,  0.009  and  2.755  for  S.  bacaila,  and  0.004 and 3.222 for S. phulo, respectively in the Atrai River, Dinajpur, Bangladesh. However, condition factors (CFs) were measured to recognize the health condition of these fishes where Fulton’s condition factor was calculated as CFf  = (BW× 100)/TL3 (Fulton, 1904) and relative body weight as BW  =(BW/aTLb) × 100 (Froese, 2006). Where, BW is body weight (g), TL total length (cm) while a and b are regression parameters previously estimated from LWRs by Islam and Mia (2016). According to Froese (2006), form factor (a3.0) was estimated through an equation as a 3.0 = 10 log a – S (b-3),where a and b (formerly computed) from LWRs as regression parameters. Then, mean slope S = -1.358 was used to calculate a 3.0 for these fish species. Using CFf and BWr values,one-way   analysis   of   variance   (ANOVA)   and  one-way analysis of similarities (ANOSIM) were tested to noticedissimilarities (p < 0.05) among fishes. Two-dimensional nonmetric multidimensional scaling (nMDS) was taken to measure the remoteness among fishes after logarithming transform of CFf and BWr values. All statistical tests were done using SPSS (IBM corporation, version 22), PAST (Paleontological statistics, version 3.10) software and Microsoft Office Excel, 2013.

  Bangladesh J. Sci. Ind. Res. 53(2), 155-160, 2018
  DOI: http://dx.doi.org/10.3329/bjsir.v53i2.36677
Funding Source:
1.   Budget:  
  

Lastly, conditions factors of fishes are recognized parameters in fishery management that can friendly support the existence of A. jaya, G. cenia, G. youssoufi, S. bacaila and S. phulo where G. youssoufi showed more healthy and strong body representing to have more adaptive capability than those of other related fish species existing in this river.

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