dc.contributor.author | Cooney, Ronan | |
dc.contributor.author | Wan, Alex H.L. | |
dc.contributor.author | O'Donncha, Fearghal | |
dc.contributor.author | Clifford, Eoghan | |
dc.date.accessioned | 2021-06-28T08:03:01Z | |
dc.date.available | 2021-06-28T08:03:01Z | |
dc.date.issued | 2021-05-21 | |
dc.identifier.citation | Cooney, Ronan, Wan, Alex H. L., O'Donncha, Fearghal, & Clifford, Eoghan. (2021). Designing environmentally efficient aquafeeds through the use of multicriteria decision support tools. Current Opinion in Environmental Science & Health, 23, doi:https://doi.org/10.1016/j.coesh.2021.100276 | en_IE |
dc.identifier.issn | 2468-5844 | |
dc.identifier.uri | http://hdl.handle.net/10379/16830 | |
dc.description.abstract | Aquaculture is the fastest growing food production system, and the sector accounts for more than half of all fish consumed. Its potential as a sustainable food source has been recognised within the EU Farm to Fork strategy and by the targeting of EU Green Deal research funds. Aquafeed is the primary source of environmental cost in farmed finfish and shrimp life cycle assessments (LCA), and thus, emerging ingredients have a key role to play in increasing its sustainability. This paper proposes that the development and â designâ of feed compositions can be disrupted by innovative approaches that simultaneously optimiseâ via multicriteria analysisâ ingredient selection through leveraging economic, nutritional, life cycle cost and environmental datasets. This would be supported by the ongoing collection and curation of these same resources. Further, integration of these disparate resources can enable advanced ingredient traceability. The outcome of such an approach would greatly contribute to increasingly efficient aquafeed production. | en_IE |
dc.description.sponsorship | R. Cooney and E. Clifford would like to acknowledge the funding of the Interreg Atlantic Area funded NEPTUNUS project (EAPA_576/2018) and the co-funded Bord Iascaigh Mhara and European Maritime Fisheries Fund project, AquaCatch (19/KGS/005), which supported this work. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Elsevier | en_IE |
dc.relation.ispartof | Current Opinion in Environmental Science & Health | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Sustainable aquaculture | en_IE |
dc.subject | Aquafeed | en_IE |
dc.subject | Life cycle assessment | en_IE |
dc.subject | Nutrition | en_IE |
dc.subject | Machine learning | en_IE |
dc.subject | Seafood | en_IE |
dc.title | Designing environmentally efficient aquafeeds through the use of multicriteria decision support tools | en_IE |
dc.type | Article | en_IE |
dc.date.updated | 2021-06-25T15:04:53Z | |
dc.identifier.doi | 10.1016/j.coesh.2021.100276 | |
dc.local.publishedsource | https://doi.org/10.1016/j.coesh.2021.100276 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | Interreg Atlantic Area | en_IE |
dc.contributor.funder | Bord Iascaigh Mhara | en_IE |
dc.contributor.funder | European Maritime and Fisheries Fund | en_IE |
dc.internal.rssid | 26172184 | |
dc.local.contact | Ronan Cooney. Email: rcooney@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 125 | |