Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/49838
DC FieldValueLanguage
dc.contributor.authorAntonucci, Francescait
dc.contributor.authorManganiello, Rossellait
dc.contributor.authorCosta, Corradoit
dc.contributor.authorIrione, Virgilioit
dc.contributor.authorOrtenzi, Lucianoit
dc.contributor.authorPalombi, Maria A.it
dc.date.accessioned2023-05-26T10:10:51Z-
dc.date.available2023-05-26T10:10:51Z-
dc.date.issued2020it
dc.identifier.issn2171-9292it
dc.identifier.urihttp://hdl.handle.net/2067/49838-
dc.description.abstractAim of study: Genetic diversity of pistachio, can be evaluated by using different descriptors, as adopted in international certification systems. Mainly the descriptors are morphological traits as leaf, which represents an important organ for its sensibility to growth conditions during the expansion phase. This study adopted a rapid and quantitative non-hierarchic clustering classification (k-means), to extract size classes basing on the contemporary combination of different morphological traits (i.e., leaf stalk length, terminal leaf length, terminal leaf width and terminal leaf ratio) of a varietal collection composed by 21 pistachio cultivars.it
dc.format.mediumSTAMPAit
dc.language.isoengit
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA quantitative multivariate methodology for unsupervised class identification in pistachio (Pistacia vera L.) plant leaves sizeit
dc.typearticle*
dc.identifier.doi10.5424/sjar/2020184-16904it
dc.identifier.scopus85100835253it
dc.identifier.urlhttps://revistas.inia.es/index.php/sjar/article/view/16904it
dc.relation.journalSPANISH JOURNAL OF AGRICULTURAL RESEARCHit
dc.relation.articlee0208it
dc.relation.projectMiPAAF- Risorse Genetiche Vegetali-Trattato FAO, V Triennio 2017-2019 (DM 21076/2017)it
dc.relation.volume18it
dc.relation.issue4it
dc.subject.scientificsectorINF/01 INFORMATICAit
dc.subject.keywordsartificial neural network; morphological analysis; clustering; germplasm collection; k-means.it
dc.subject.ercsectorPE6_7, PE6_11,it
dc.description.internationalnoit
dc.contributor.countryITAit
dc.type.refereeREF_1it
dc.type.miur262*
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0002-1245-8882-
crisitem.journal.journalissn2171-9292-
crisitem.journal.anceE219462-
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