Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30465
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dc.contributor.authorGraham, Philipen_UK
dc.contributor.authorBrundu, Giannien_UK
dc.contributor.authorScolamacchia, Mariaen_UK
dc.contributor.authorGiglioli, Angelicaen_UK
dc.contributor.authorAddis, Pieroen_UK
dc.contributor.authorArtioli, Yurien_UK
dc.contributor.authorTelfer, Trevoren_UK
dc.contributor.authorCarboni, Stefanoen_UK
dc.date.accessioned2019-11-15T01:03:30Z-
dc.date.available2019-11-15T01:03:30Z-
dc.date.issued2020-02en_UK
dc.identifier.other734612en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30465-
dc.description.abstractBivalve farming is a major European aquaculture activity, representing 48.5% of total biomass produced. Italy is one of the largest consumers of oysters but local production does not meet the market demand. Italy has approximately 384,000 ha of shallow lagoons in its coastal area, already devoted to extensive aquaculture activities, which could also represent potential locations for Pacific oyster (Crassostrea gigas, Thunberg, 1793) farming. The aim of this study is to enhance Pacific oyster farming in shallow coastal lagoons by testing novel farming technologies and validating an existing bioenergetic growth model (ShellSIM). Commercial performance of Pacific oysters and associated environmental parameters were monitored in two Sardinian coastal lagoons (San Teodoro and Santa Gilla, Italy). Oyster growth and survival were compared during a production cycle for two rearing systems: traditional systems (floating bags or lanterns) and Ortac units. The latter has not been previously tested in coastal lagoons. Measured performances were compared with ShellSIM predictions to evaluate the model's ability to predict growth and the potential production in other coastal lagoons. Results showed that at the end of a six months cycle the oysters mean weight and Condition Index were significantly higher (p value < 0.05) in floating bags than in Ortac, (55.8 ± 0.9 g and 50.1 ± 1.3 g; 4.6 ± 0.1 and 3.9 ± 0.1 respectively). Also, the minimum commercial size (40 g) was reached by 98% and 68% of the oyster farmed in floating bags and Ortac units respectively. On the other hand, oysters reared in the Ortac showed a higher survival than in the floating bags (95.8 ± 0.9% and 82.1 ± 3.4%, respectively). ShellSIM growth predictions were highly correlated with the observed data in both lagoons. However, high values for root mean square deviation (RMSD) indicated that ShellSIM predictions were significantly validated for San Teodoro lagoon but not for Santa Gilla suggesting further tailoring to some environmental conditions to produce more realistic growth predictions. Results of this study indicate that both floating bags and Ortac system should be employed during the production cycle to maximise oysters' survival and growth performances. Furthermore, this study provides a new validated tool to farmers and stakeholders to monitor oysters’ performances and estimate productivity in local waters.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationGraham P, Brundu G, Scolamacchia M, Giglioli A, Addis P, Artioli Y, Telfer T & Carboni S (2020) Improving pacific oyster (Crassostrea gigas, Thunberg, 1793) production in Mediterranean coastal lagoons: Validation of the growth model "ShellSIM" on traditional and novel farming methods. Aquaculture, 516, Art. No.: 734612. https://doi.org/10.1016/j.aquaculture.2019.734612en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Graham P, Brundu G, Scolamacchia M, Giglioli A, Addis P, Artioli Y, Telfer T & Carboni S (2020) Improving pacific oyster (Crassostrea gigas, Thunberg, 1793) production in Mediterranean coastal lagoons: Validation of the growth model "ShellSIM" on traditional and novel farming methods. Aquaculture, 516, Art. No.: 734612. DOI: https://doi.org/10.1016/j.aquaculture.2019.734612 © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectPacific oysters farmingen_UK
dc.subjectShellfish growth modelen_UK
dc.subjectFarming technologiesen_UK
dc.titleImproving pacific oyster (Crassostrea gigas, Thunberg, 1793) production in Mediterranean coastal lagoons: Validation of the growth model "ShellSIM" on traditional and novel farming methodsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2020-10-23en_UK
dc.rights.embargoreason[ShellSIM and Ortac paper final_SC.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1016/j.aquaculture.2019.734612en_UK
dc.citation.jtitleAquacultureen_UK
dc.citation.issn0044-8486en_UK
dc.citation.volume516en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderNatural Environment Research Councilen_UK
dc.contributor.funderRegione Autonoma della Sardegnaen_UK
dc.author.emailstefano.carboni@stir.ac.uken_UK
dc.citation.date22/10/2019en_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationInternational Marine Centre (IMC)en_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationUniversity of Cagliarien_UK
dc.contributor.affiliationUniversity of Cagliarien_UK
dc.contributor.affiliationPlymouth Marine Laboratoryen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.identifier.isiWOS:000501480700039en_UK
dc.identifier.scopusid2-s2.0-85075402143en_UK
dc.identifier.wtid1480608en_UK
dc.contributor.orcid0000-0002-8345-925Xen_UK
dc.contributor.orcid0000-0003-1613-9026en_UK
dc.contributor.orcid0000-0002-1302-1068en_UK
dc.date.accepted2019-10-17en_UK
dc.date.filedepositdate2019-11-14en_UK
Appears in Collections:Aquaculture Journal Articles

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