Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-31T16:12:18.506Z Has data issue: false hasContentIssue false
  • English
  • Français

Growth, mortality and exploitation of bigeye scad, Selar crumenophthalmus off Mumbai, north-west coast of India

Published online by Cambridge University Press:  21 September 2015

Debabrata Panda ,
A. K. Jaiswar ,
Soma Das Sarkar  and
S. K. Chakraborty
Debabrata Panda*
Affiliation:
ICAR Central Inland Fisheries Research Institute, Barrackpore, Kolkata – 700 120, West Bengal, India
A. K. Jaiswar
Affiliation:
ICAR Central Institute of Fisheries Education (Deemed University), 7-Bungalows, Versova, Andheri (West), Mumbai – 400 0061, Maharashtra, India
Soma Das Sarkar
Affiliation:
ICAR Central Inland Fisheries Research Institute, Barrackpore, Kolkata – 700 120, West Bengal, India
S. K. Chakraborty
Affiliation:
ICAR Central Institute of Fisheries Education (Deemed University), 7-Bungalows, Versova, Andheri (West), Mumbai – 400 0061, Maharashtra, India
*
Correspondence should be addressed to:D. Panda, ICAR Central Inland Fisheries Research Institute, Barrackpore, Kolkata – 700 120, West Bengal, India email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

An investigation was carried out to study the growth, mortality and exploitation of bigeye scad, Selar crumenophthalmus off the Mumbai coast during September 2008 to August 2009. The von Bertalanffy growth equation was derived as Lt = 310 mm [1−exp {−1.4 year−1 × (t−(−0.059 year))}] with the growth performance index (ø’) of 3.13. The fishable lifespan of the species was 2+ years in Mumbai waters. Bigeye scad attains total length of 240 and 293 mm during its first and second year of life. The size at first capture (L c) was estimated as 240 mm (1+ year). The recruitment was continuous and throughout the year with a single pulse during August. Nearly 50% of the recruitment took place during August and September. The total, natural and fishing mortality rates were 4.62, 2.21 and 2.41 year−1, respectively. The estimated exploitation ratio (0.52) was very close to the optimum value of 0.5. Hence, the stock can be considered as optimally over-exploited in Mumbai waters.

Keywords

AgeBigeye scadgrowthmortalityexploitationMumbai
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 96 , Issue 7 , November 2016 , pp. 1411 - 1416
Copyright
Copyright © Marine Biological Association of the United Kingdom 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Adeeb, S., Fadzly, N. and Md Sah, A.S.R. (2014) Population dynamics of bigeye scad, Selar crumenophthalmus in Bangaa Faru, Maldives. Journal of Marine Biology and Oceanography 3, 3.Google Scholar
Anderson, R.O. and Gutreuter, S.J. (1983) Length-weight and associated structural indices . In Nielsen, L. and Johnson, D. (eds) Fisheries techniques. Bethesda, MD: American Fisheries Society, pp. 283–300.Google Scholar
Anonymous (2014) Annual report 2013–14. Cochin: ICAR-Central Marine Fisheries Research Institute, p. 274.Google Scholar
Beddington, J.R. and Cooke, J.G. (1983) The potential yield of fish stocks. Food and Agriculture Organization of the United Nations Fisheries Technical Paper 242, 47 pp.Google Scholar
Beverton, R.J.H. and Holt, S.J. (1957) On the dynamics of exploited fish populations. London: HMSO Fishery Investigations, Ministry of Agriculture, Fisheries and Food G.B. (2 Sea Fish), Volume 19, 533 pp.Google Scholar
Dalzell, P. and Penaflor, G. (1989) The fisheries biology of the big eye scad Selar crumenophthalmus (Bloch) in the Philippines. Asian Fisheries Science 3, 115–131.CrossRefGoogle Scholar
Fulton, T. (1902) Rate of growth of sea fishes. Scientific Investigations, Fisheries Division of Scotland Report 20, pp. 1–22.Google Scholar
Gayanilo, F.C. Jr, Sparre, P. and Pauly, D. (1996) FAO-ICLARM stock assessment tools (FiSAT) users guide, FAO computerized information series (Fisheries) No. 8. Rome: FAO, 3 diskettes, 124 pp.Google Scholar
Gulland, J.A. (1971) The fish resources of the ocean. West Byfleet: Fishing News Books.Google Scholar
Gulland, J.A. (1983) Fish stock assessment: a manual of basic methods. New York, NY: Wiley.Google Scholar
Kasim, H.M. (2003) Carangids. In Joseph, M.M. and Jayaprakash, A.A. (eds) Status of exploited marine fishery resources of India. Cochin: Central Marine Fisheries Research Institute, pp. 66–75.Google Scholar
Kawamoto, P. (1973) Management investigation of the akule or bigeye scad (Trachurops crumenophthalmus) (Bloch). Hawaii Division of Fish and Game, Project Report No. H-4-r, Honolulu, Hawaii.Google Scholar
Le Cren, E.D. (1951) The length-weight relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis). Journal of Animal Ecology 20, 201–219.CrossRefGoogle Scholar
Pauly, D. (1979) Theory and management of tropical multispecies stock: a review with emphasis on the south-east Asian demersal fisheries. ICLARM Studies and Reviews 1, 35 pp.Google Scholar
Pauly, D. (1980) A selection of simple methods for the assessment of tropical fish stocks. FAO Fisheries Circular No. 729, 54 pp.Google Scholar
Pauly, D. (1983) Length-converted catch curves: a powerful tool for fisheries research in the tropics (Part I). ICLARM Fishbyte 1, 9–13.Google Scholar
Pauly, D. (1984) Fish population dynamics in tropical waters. A manual for use with programmable calculators. ICLARM Studies and Reviews 8. 325 pp.Google Scholar
Pauly, D. and Munro, J.L. (1984) Once more on growth comparison in fish and invertebrates. Fishbyte 2, 21 pp.Google Scholar
Pedrosa-Gerasmio Ivane, R., Agmata Altair, B. and Santos Mudjekeewis, D. (2015) Genetic diversity, population genetic structure, and demographic history of Auxis thazard (Perciformes), Selar crumenophthalmus (Perciformes), Rastrelliger kanagurta (Perciformes) and Sardinella lemuru (Clupeiformes) in Sulu-Celebes Sea inferred by mitochondrial DNA sequences. Fisheries Research 162, 64–74. doi: 10.1016/j.fishres.2014.10.006.CrossRefGoogle Scholar
Ricker, W.E. (1975) Computation and interpretation of biological statistics of fish populations. Bulletin of the Fisheries Research Board of Canada 191, 382 pp.Google Scholar
Roos, D., Roux, O. and Conand, F. (2007) Notes on the biology of the bigeye scad, Selar crumenophthalmus (Carangidae) around Reunion Island, southwest Indian Ocean. Scientia Marina 71, 137–144.CrossRefGoogle Scholar
SAS (2008) SAS/STAT® 9.2 user's guide. Cary, NC: Statistical Analysis System Institute.Google Scholar
Sissenwine, M.P., Brown, B.E. and Brenna-Hoskins, J. (1979) Brief history and the state of the arts of fish production models and some applications to fisheries of the Northern-Eastern United States. Climate and fisheries: Proceedings from a workshop on the influence of environmental factors on fisheries production, 29–31 March 1978, Center for Ocean Management Studies, University of Rhode Island, Kingston, pp. 25–48.Google Scholar
Smith-Veniz, W.F. (2003) Carangidae. In Carpenter, K.E. (ed.) The living marine resources of the western central Atlantic. FAO species identification guide for fishery purposes, Volume 3, Part 2. Rome: FAO, pp. 1426–1468.Google Scholar
Smith-Vaniz, W.F., Collette, B.B. and Luckhurst, B.E. (1999) Fishes of Bermuda: History, zoogeography, annotated checklist and identification keys. Lawrence, KS: American Society of Ichthyologists and Herpetologists Publ. 4, 424 pp.Google Scholar
Snedecor, G.W. and Cochran, W.G. (1967) Statistical methods, 6th edition. New Delhi: Oxford and IBH Publishing Co., 593 pp.Google Scholar
Sparre, P.J. and Venema, S.C. (1998) Introduction to tropical fish stock assessment. Part I: manual. FAO Technical Paper No. 306/ Rev. 2. Rome: FAO, 407 pp.Google Scholar