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dc.creatorDjordjević, Boban
dc.creatorRakonjac, Vera
dc.creatorFotirić-Akšić, Milica
dc.creatorSavikin, Katarina
dc.creatorVulić, Todor
dc.date.accessioned2020-12-17T21:01:53Z
dc.date.available2020-12-17T21:01:53Z
dc.date.issued2014
dc.identifier.issn0304-4238
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/3499
dc.description.abstractDescriptive and multivariate statistic analysis was used to determine phenotypical diversity among 29 European currant cultivars. Variation in 39 traits related to phenology, vegetative and reproductive potential, fruit quality, content of antioxidants in berries, and oils in seeds indicated a high diversity of currant cultivars. PCA analysis showed high discrimination capabilities of variables measured. The most important traits for cultivars grouping were related to yield efficiency, fruit quality, and content of bioactive compounds. These traits should be taken into account in the further currant cultivars characterization and analysis of breeding material. Both, cluster (CA) and principal component analysis (PCA), showed an adequate grouping of cultivars in two groups of cultivars, one consisting of black and the second group comprising the red and white currant cultivars. By PCA, within each of these two major groups dispersed layout of cultivars was obtained, while using CA a larger number of sub-clusters was separated indicating phenotypic and thus genotypic heterogeneity of studied cultivars. Great diversity in this currant collection showed its good potential for fresh and processing usage, and further breeding programs.en
dc.publisherElsevier, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/46013/RS//
dc.rightsrestrictedAccess
dc.sourceScientia Horticulturae
dc.subjectGenetic resourcesen
dc.subjectYielden
dc.subjectFruit qualityen
dc.subjectPCAen
dc.subjectCluster analysisen
dc.titlePomological and biochemical characterization of European currant berry (Ribes sp.) cultivarsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage162
dc.citation.other165: 156-162
dc.citation.rankM21
dc.citation.spage156
dc.citation.volume165
dc.identifier.doi10.1016/j.scienta.2013.11.014
dc.identifier.scopus2-s2.0-84889012046
dc.identifier.wos000332055200021
dc.type.versionpublishedVersion


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