Literature DB >> 20005909

Model based optimization of feeding regimens in aquaculture: application to the improvement of Octopus vulgaris viability in captivity.

José A Hormiga1, Eduardo Almansa, António V Sykes, Néstor V Torres.   

Abstract

The culture of common octopus (Octopus vulgaris), one important candidate to the aquaculture diversification, faces significant difficulties, mainly related with an inadequate first development stages diet. A mathematical model integrating disperse information on the nutrient composition throughout the species ontogenic development as well as on the effects of broodstock feeding and diet composition data of O. vulgaris, allowed us to predict the time evolution of paralarvae nutritional composition in terms of protein and lipid fractions and to design an optimal diet composition with the objective to ensure the maximal survival. The optimization routine showed that a diet based on the spider crab (Maja squinado) zoea composition is the most suitable for reaching the best survival rates. Results are verified by comparison with available experimental data. The obtained results and the prospective developments are a good example of how the systemic, quantitative model based approach can be used to analyse and contribute to the understanding of complex biological systems. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 20005909     DOI: 10.1016/j.jbiotec.2009.12.008

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  Transcriptome analysis of the Octopus vulgaris central nervous system.

Authors:  Xiang Zhang; Yong Mao; Zixia Huang; Meng Qu; Jun Chen; Shaoxiong Ding; Jingni Hong; Tiantian Sun
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

2.  Characterization of the skin mucus in the common octopus Octopus vulgaris (Cuvier) reared paralarvae.

Authors:  Gianluca Accogli; Giovanni Scillitani; Donatella Mentino; Salvatore Desantis
Journal:  Eur J Histochem       Date:  2017-09-12       Impact factor: 3.188

  2 in total

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