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dc.contributor.authorSerradell, A.
dc.contributor.authorTorrecillas, S.
dc.contributor.authorSoares, S.
dc.contributor.authorSilva, T.
dc.contributor.authorMontero, D.
dc.contributor.otherProducció Animalca
dc.date.accessioned2023-09-29T08:35:54Z
dc.date.available2023-09-29T08:35:54Z
dc.date.issued2023-09-14
dc.identifier.citationSerradell, A., S. Torrecillas, F. Soares, T. Silva, and D. Montero. 2023. "Modelling The Effect Of Prebiotics, Probiotics And Other Functional Additives On The Growth, Feed Intake And Feed Conversion Of European Sea Bass (Dicentrarchus Labrax) Juveniles". Aquaculture Reports 32: 101729. doi:10.1016/j.aqrep.2023.101729.ca
dc.identifier.issn2352-5134ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/2374
dc.description.abstractDietary supplementation of aquafeeds with functional additives is a commonly employed strategy in order to reduce the potential negative effects associated to fishmeal (FM) and fish oil (FO) replacement by alternative protein and oil sources. Nevertheless, the wide variety of functional ingredients with different bioactive properties hinders the selection of appropriate dietary supplementation strategies on feed formulation. The present study aimed to develop an observational multiple-linear regression (MLR) model to identify the effects of a variety of functional ingredients supplementation on European sea bass juveniles (Dicentrarchus labrax) growth performance and feed utilization. A literature survey was conducted gathering a total of 61 dietary treatments. The functional ingredients were classified in three main groups, namely, “probiotics”, “prebiotics” or “others” (including plant derived compounds such as essential oils, extracts and powders). Three different MLR were obtained and validated, allowing to describe the effects of functional ingredients supplementation on fish specific growth rate (SGR) (with a final R-squared (R2) = 0.96, adjusted R-squared (adj R2) = 0.92 and a p-value= 7.21E- 08)), fish feed intake (FI) (R2 = 0.97, adj R2 = 0.95 and a p-value= 5.42E-12)) and fish feed conversion ratio (FCR) (R2 = 0.90, adj R2 = 0.80 and a p-value= 2.02E-05)). MLR model trimming, allowed the detection of a significant positive correlation (cor) between dietary prebiotics supplementation and SGR (cor= 0.32, p-value= 8.52E-04). On the contrary, prebiotic supplementation presented a negative correlation with fish FI (cor= − 0.44, p-value= 6.27E-05) and FCR (cor= − 0.41, p-value= 8.96E-05).ca
dc.description.sponsorshipThis work was founded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 818367; AquaIMPACT—Genomic and nutritional innovations for genetically superior farmed fish to improve efficiency in European aquaculture. Authors want to thank the University of Las Palmas de Gran Canaria (ULPGC) for the funding for Antonio Serradell through the call “ERASMUS + PRACTICAS ´ (SMT)” 2020-2021.ca
dc.format.extent12ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofAquaculture Reportsca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleModelling the effect of prebiotics, probiotics and other functional additives on the growth, feed intake and feed conversion of European sea bass (Dicentrarchus labrax) juvenilesca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDEC/H2020/818367/EU/Genomic and nutritional innovations for genetically superior farmed fish to improve efficiency in European aquaculture/AquaIMPACTca
dc.subject.udc639ca
dc.identifier.doihttps://doi.org/10.1016/j.aqrep.2023.101729ca
dc.contributor.groupAqüiculturaca


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