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Olive oil sensory analysis as a tool to preserve and valorize the heritage of centenarian olive trees

2022Journal article Open access
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dc.contributor.authorRodrigues, Nuno
dc.contributor.authorPeres, António M.
dc.contributor.authorBaptista, Paula
dc.contributor.authorPereira, J.A.
dc.date.accessioned2022-03-10T11:20:38Z
dc.date.available2022-03-10T11:20:38Z
dc.date.issued2022
dc.description.abstractIn inland areas of Portugal and some regions of the Mediterranean basin, olive production is based on traditional olive groves, with low intensification, local cultivars, aged plants, and centenarian trees. These plants play a key role in the ecosystem, contributing to carbon sequestration and possessing a high genetic diversity, particularly important for selecting cultivars more resistant to climatic changes. Appreciation of the value of this genetic diversity implies genetic, morphological, and physicochemical characterization of centenarian trees, which is expensive and time-consuming. Sensory evaluation is also of utmost importance. Thus, in this study, centenarian olive trees were selected in the Côa Valley region, a UNESCO World Heritage site. The descriptive sensory profile of their extracted olive oils was established and used to cluster the oils, using hierarchical clustering analysis, and consequently the olive trees, into five groups with similar intensities of perceived olfactory–gustatory attributes. Each cluster revealed olive oils with unique sensory patterns, presumably due to similarities of the olive trees, confirming the potential of the proposed screening approach. The identification of sensorially homogeneous oil-tree groups would reduce the number of specimens needed for subsequent morphological, genetic, and chemical characterization, allowing a cost-effective and robust future evaluation procedure.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support from national funds FCT/MCTES to CIMO (UIDB/00690/2020) and SusTEC (LA/P/0007/2020). This work was also supported by the FCT project OLIVECOA-Centenarian olive trees of Coa Valley region: rediscovering the past to valorize the future, ref. COA/BRB/0035/2019. Nuno Rodrigues was funded by FCT-Foundation for Science and Technology, P.I., through the institutional scientific employment program-contract.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRodrigues, Nuno; Peres, António M.; Baptista, Paula; Pereira, J.A. (2022). Olive oil sensory analysis as a tool to preserve and valorize the heritage of centenarian olive trees. Plants. ISSN 2223-7747. 11:3. p. 1-10pt_PT
dc.identifier.doi10.3390/plants11030257pt_PT
dc.identifier.issn2223-7747
dc.identifier.urihttp://hdl.handle.net/10198/25201
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0007/2020pt_PT
dc.relationMountain Research Center
dc.relationCentenarian olive trees of Côa Valley region: rediscovering the past to valorise the future
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCôa valleypt_PT
dc.subjectDescriptive sensory profilept_PT
dc.subjectStatistical toolspt_PT
dc.subjectDifferentiationpt_PT
dc.titleOlive oil sensory analysis as a tool to preserve and valorize the heritage of centenarian olive treespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleCentenarian olive trees of Côa Valley region: rediscovering the past to valorise the future
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/COA%2FBRB%2F0035%2F2019/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage257pt_PT
oaire.citation.titlePlantspt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
person.familyNameRodrigues
person.familyNamePeres
person.familyNameBaptista
person.familyNamePereira
person.givenNameNuno
person.givenNameAntónio M.
person.givenNamePaula
person.givenNameJosé Alberto
person.identifier107333
person.identifier.ciencia-idF41D-B424-5F78
person.identifier.ciencia-idCF16-5443-F420
person.identifier.ciencia-id7D11-FE1E-CD0F
person.identifier.ciencia-id611F-80B2-A7C1
person.identifier.orcid0000-0002-9305-0976
person.identifier.orcid0000-0001-6595-9165
person.identifier.orcid0000-0001-6331-3731
person.identifier.orcid0000-0002-2260-0600
person.identifier.ridI-8470-2012
person.identifier.ridL-6798-2014
person.identifier.scopus-author-id55258560600
person.identifier.scopus-author-id7102331969
person.identifier.scopus-author-id14051688000
person.identifier.scopus-author-id57204366348
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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