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Analysing the growth of turbot (Psetta maxima) in a commercial recirculation system with the use of three different growth models

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Abstract

The growth data of a commercial aquaculture recirculation system were analysed to investigate the growth performance of reared turbot (Psetta maxima). Three common growth models (von Bertalanffy, Gompertz and Schnute) were fitted to the growth data documented over a time period of 6 years. To determine the most suitable model, three different criteria were used: (1) the Akaike index criterion, (2) the sum of squared residuals and (3) the average daily deviation between the estimated final weight and the observed final weight. The evaluation of the growth models showed that the Schnute model had the lowest Akaike index, the lowest sum of squared residuals and the lowest daily deviation between estimated and real weight of all tested growth models. The Schnute model produced sigmoid growth curves. The estimated growth coefficients were the most realistic ones in regard to biological interpretation. In contrast, the von Bertalanffy growth model and the Gompertz model estimated inaccurate exponential growth curves and are therefore unable to simulate the growth data as well as the Schnute model. The results indicate that the von Bertalanffy growth model is not the optimal model to simulate the present growth data and that the growth potential of reared turbot has probably not yet been fully exploited in the aquaculture system(s) examined (so far).

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References

  • Akaike H (1973) Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika 60:255–265

    Article  Google Scholar 

  • Boeuf G, Boujard D, Person-Le Ruyet J (1999) Control of somatic growth in turbot. J Fish Biol 55A:128–147

    Article  Google Scholar 

  • Bromley PJ, Howell BR (1983) Factors influencing the survival and growth of turbot larvae, Scophthalmus-Maximus L, during the change from live to compound feeds. Aquaculture 31:31–40

    Article  Google Scholar 

  • Caballero MJ, Obach A, Rosenlund G, Montero D, Gisvold M, Izquierdo MS (2002) Impact of different dietary lipid sources on growth, lipid digestibility, tissue fatty acid composition and histology of rainbow trout, Oncorhynchus mykiss. Aquaculture 214:253–271

    Article  CAS  Google Scholar 

  • Deniel C (1990) Comparative-study of growth of flatfishes on the West-Coast of Brittany. J Fish Biol 37:149–166

    Article  Google Scholar 

  • Devauchelle N, Alexandre JC, Lecorre N, Letty Y (1988) Spawning of Turbot (Scophthalmus-Maximus) in captivity. Aquaculture 69:159–184

    Article  CAS  Google Scholar 

  • Fountoulaki E, Vasilaki A, Hurtado R, Grigorakis K, Karacostas I, Nengas I, Rigos G, Kotzamanis Y, Venou B, Alexis MN (2009) Fish oil substitution by vegetable oils in commercial diets for gilthead sea bream (Sparus aurata L.); effects on growth performance, flesh quality and fillet fatty acid profile Recovery of fatty acid profiles by a fish oil finishing diet under fluctuating water temperatures. Aquaculture 289:317–326

    Article  CAS  Google Scholar 

  • Gompertz B (1825) On the nature of the function expressive of the law of human mortality and on a new mode determining the value of life contingencies. Philos Trans R Soc London 115:515–585

    Google Scholar 

  • Imsland AK, Folkvord A, Grung GL, Stefansson SO, Taranger GL (1997) Sexual dimorphism in growth and maturation of turbot, Scophthalmus maximus (Rafinesque, 1810). Aquacult Res 28:101–114

    Article  Google Scholar 

  • Imsland AK, Nilsen T, Folkvord A (1998) Stochastic simulation of size variation in turbot: possible causes analysed with an individual-based model. J Fish Biol 53:237–258

    Article  Google Scholar 

  • Imsland AK, Foss A, Gunnarsson S, Berntssen MHG, FitzGerald R, Bonga SW, Von Ham E, Naevdal C, Stefansson SO (2001) The interaction of temperature and salinity on growth and food conversion in juvenile turbot (Scophthalmus maximus). Aquaculture 198:353–367

    Article  Google Scholar 

  • Imsland AK, Schram E, Roth B, Schelvis-Smit R, Kloet K (2007) Improving growth in juvenile turbot (Scophthalmus maximus Rafinesque) by rearing fish in switched temperature regimes. Aquacult Int 15:403–407

    Article  Google Scholar 

  • Katsanevakis S (2006) Modelling fish growth: model selection, multi-model inference and model selection uncertainty. Fish Res 81:229–235

    Article  Google Scholar 

  • Katsanevakis S, Maravelias CD (2008) Modelling fish growth: multi-model inference as a better alternative to a priori using von Bertalanffy equation. Fish Fish 9:178–187

    Google Scholar 

  • Kuhlmann D, Quantz G (1980) Some Effects of Temperature and Salinity on the Embryonic-Development and Incubation-Time of the Turbot, Scophthalmus-Maximus L from the Baltic Sea. Meeresforschung-Reports Marine Res 28:172–178

    Google Scholar 

  • Kuhlmann D, Quantz G, Witt U (1981) Rearing of turbot larvae (Scophthalmus-Maximus L) on cultured food organisms and post-metamorphosis growth on natural and artificial food. Aquaculture 23:183–196

    Article  Google Scholar 

  • Lozan JL (1992) Sexual differences in food-intake, digestive-tract size, and growth-performance of the Dab, Limanda-Limanda L. Neth J Sea Res 29:223–227

    Article  Google Scholar 

  • Malbrouck C, Kestemont P (2006) Effects of microcystins on fish. Environ Toxicol Chem 25:72–86

    Article  PubMed  CAS  Google Scholar 

  • Mallekh R, Lagardere JP, Anras MLB, Lafaye JY (1998) Variability in appetite of turbot, Scophthalmus maximus under intensive rearing conditions: the role of environmental factors. Aquaculture 165:123–138

    Article  Google Scholar 

  • Pauly D (1979) Gill size and temperature as governing factors in fish growth: a generalization of von Bertalanffy′s growth formula., Berichte aus dem Institut für Meereskunde. Univerity Kiel, Kiel

    Google Scholar 

  • Rabaoui L, Zouari ST, Katsanevakis S, Ben Hassine OK (2007) Comparison of absolute and relative growth patterns among five Pinna nobilis populations along the Tunisian coastline: an information theory approach. Mar Biol 152:537–548

    Article  Google Scholar 

  • Regost C, Arzel J, Robin J, Rosenlund G, Kaushik SJ (2003) Total replacement of fish oil by soybean or linseed oil with a return to fish oil in turbot (Psetta maxima)—1. Growth performance, flesh fatty acid profile, and lipid metabolism. Aquaculture 217:465–482

    Article  CAS  Google Scholar 

  • Ricker WE (1975) Computation and interpretation of biological statistics in fish populations. Bull Fish Res Board Can 191:1–382

    Google Scholar 

  • SAS (2005) SAS/STAT user’s guide version 9.0, SAS. Inc., Cary, NC, USA

  • Schnute J (1981) A versatile growth-model with statistically stable parameters. Can J Fish Aquat Sci 38:1128–1140

    Article  Google Scholar 

  • Schrader KK, Summerfelt ST (2010) Distribution of off-flavor compounds and isolation of geosmin-producing bacteria in a series of water recirculating systems for rainbow trout culture. N Am J Aquacult 72:1–9

    Article  Google Scholar 

  • Turker A (2006) Effects of feeding frequency on growth, feed consumption, and body composition in juvenile turbot (Psetta maxima Linnaeus, 1758) at low temperature. Turkish J Veterinary Animal Sci 30:251–256

    Google Scholar 

  • Urban HJ (2002) Modeling growth of different developmental stages in bivalves. Marine Ecol Prog Ser 238:109–114

    Article  Google Scholar 

  • Vining LC (1992) Secondary metabolism, inventive evolution and biochemical diversity—a review. Gene 115:135–140

    Article  PubMed  CAS  Google Scholar 

  • von Bertalanffy L (1938) A quantitative theory of organic growth (inquiries on growth laws II). Hum Biol 10:181–213

    Google Scholar 

  • Watson SB (2003) Cyanobacterial and eukaryotic algal odour compounds: signals or by-products? A review of their biological activity. Phycologia 42:332–350

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, Kiel, Germany

    A. Baer, C. Schulz, I. Traulsen & J. Krieter

  2. GMA, Gesellschaft für Marine Aquakultur mbH, Büsum, Germany

    A. Baer & C. Schulz

Authors
  1. A. Baer
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  2. C. Schulz
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  3. I. Traulsen
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  4. J. Krieter
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Correspondence to A. Baer.

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Baer, A., Schulz, C., Traulsen, I. et al. Analysing the growth of turbot (Psetta maxima) in a commercial recirculation system with the use of three different growth models. Aquacult Int 19, 497–511 (2011). https://doi.org/10.1007/s10499-010-9365-0

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  • DOI: https://doi.org/10.1007/s10499-010-9365-0

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