Modelling the growth of white seabream (Diplodus sargus) and gilthead seabream (Sparus aurata) in semi-intensive earth production ponds using the Dynamic Energy Budget approach |
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| Institution: | 1. New University of Lisbon, DCEA, FCT, Portugal;2. Stirling University, Institute of Aquaculture, Scotland, United Kingdom;3. Department of Fisheries, Bangkok, Thailand;4. Danish Shellfish Center, DTUAqua, Øroddevej 80, 7900 Nykøbing Mors, Denmark;5. Northern Economics, Seattle, USA;6. South China Sea Fisheries Research Institute, Chinese Academy of Fisheries Sciences, China;1. IAMC-CNR, Castellammare del Golfo (TP), Italy;2. Dipartimento di Scienze della Terra e del Mare, Università di Palermo, Palermo, Italy;3. Department of Biology, University of Crete, 71003, Heraklion, Crete, Greece;4. Dipartimento di Scienze Biologiche ed Ambientali, Università di Messina, Messina, Italy;1. NIOZ Royal Netherlands Institute for Sea Research, NL-1790 AB Den Burg, The Netherlands;2. Vrije Universiteit, Department of Theoretical Biology, de Boelelaan 1087, 1081 HV Amsterdam, The Netherlands;3. Instituto Superior Técnico, Environment and Energy Section, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal;1. MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Palavas Les Flots, France;2. Laboratoire Service d''Experimentations Aquacoles, Ifremer, Palavas Les Flots, France;3. School of BioSciences, The University of Melbourne, Parkville 3010, Victoria, Australia;1. Department of Biology, Memorial University of Newfoundland, St. John''s A1B 3X9, Canada;2. Akvaplan-niva, Fram High North Research Centre for Climate and the Environment, Tromsø 9296, Norway;3. Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John''s A1C 5S7, Canada |
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| Abstract: | Fish growth models may help understanding the influence of environmental, physiological and husbandry factors on fish production, providing crucial information to maximize the growth rates of cultivated species. The main objectives of this work were to: i) develop and implement an Individual Based Model using a Dynamic Energy Budget (IBM-DEB) approach to simulate the growth of two commercially important Sparidae species in semi-intensive earth ponds, the white seabream which is considered as a potential candidate for Mediterranean aquaculture and the gilthead seabream that has been cultivated since the early 80s; ii) evaluate which model parameters are more likely to affect fish performance, and iii) investigate which parameters might account for growth differences between the cultivated species. The model may be run in two modes: the “state variable” mode, in which an average fish is simulated with a particular parameter set and the “Individual Based Model” (IBM) mode that simulates a population of n fishes, each with its specific parameter set assigned randomly. The IBM mode has the advantage of allowing a quick model calibration and an evaluation of the parameter sets that produce the best fit between predicted and observed fish growth. Results revealed that the model reproduces reasonably well the growth of the two seabreams. Fish performance was mainly affected by parameters related to feed ingestion/assimilation and reserves utilization, suggesting that special attention should be taken in the estimation of these parameters when applying the model to other species. Comparing the DEB parameters set of the two sparids it seems that the white seabream's low growth rates are a result of higher maintenance costs and a lower feed assimilation efficiency. Hence, the development of new feed formulations may be crucial for the success of white seabream production in semi-intensive earth ponds. |
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