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

Baer, A., Schulz, Carsten, Traulsen, I. and Krieter, J. (2011) Analysing the growth of turbot (Psetta maxima) in a commercial recirculation system with the use of three different growth models. Aquaculture International, 19 (3). pp. 497-511. DOI 10.1007/s10499-010-9365-0.

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Supplementary data:

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).

Document Type: Article
Keywords: Growth model Von Bertalanffy Schnute Gompertz Turbot fatty-acid profile scophthalmus-maximus multimodel inference rainbow-trout fish growth temperature performance metabolism rafinesque larvae
Research affiliation: Kiel University
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
OceanRep > The Future Ocean - Cluster of Excellence > FO-R04
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1007/s10499-010-9365-0
ISSN: 1573-143X
Projects: Future Ocean
Date Deposited: 01 Nov 2012 04:59
Last Modified: 23 Sep 2019 21:55
URI: http://oceanrep.geomar.de/id/eprint/16713

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