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Characterization of Volatile Compounds in New Cider Apple Genotypes Using Multivariate Analysis

dc.contributor.authorPello Palma, Jairo 
dc.contributor.authorMangas Alonso, Juan José
dc.contributor.authorDapena de la Fuente, Enrique
dc.contributor.authorGonzález Álvarez, Jaime 
dc.contributor.authorDíez Peláez, Jorge 
dc.contributor.authorGutiérrez Álvarez, María Dolores 
dc.contributor.authorArias Abrodo, Pilar 
dc.date.accessioned2017-01-19T10:55:02Z
dc.date.available2017-01-19T10:55:02Z
dc.date.issued2016-12
dc.identifier.citationFood Analytical Methods, 9(12), p. 3492–3500 (2016); doi:10.1007/s12161-016-0521-7
dc.identifier.issn1936-9751
dc.identifier.issn1936-976X
dc.identifier.urihttp://hdl.handle.net/10651/39346
dc.description.abstractGas chromatography combined with solid-phase microextraction has been used for the identification of the aromatic profiles of new cider apple genotypes, and a chemometric characterization of these new cider apple genotypes has been carried out using exploratory and modelling techniques. Three breeding targets have been explored: (1) regular bearing and scab resistance, (2) resistance to bio-aggressors and (3) high polyphenol content and late ripening. Exploratory techniques established two genotype groups: those that come from breeding towards targets 1 and 2 with low polyphenol contents and those that come from breeding towards target 3 with high polyphenol contents. Alcohols were related to the genotypes with breeding towards target 3, and compounds such as esters were related to the genotypes with breeding towards targets 1 and 2. Models computed using the soft independent modelling of class analogy (SIMCA) technique presented good sensitivity (93 %), specificity (91 %) and classification hits (96 %). However, the predictions computed by SIMCA (70 %) and the artificial neural network (ANN) (76 %) were lowspa
dc.description.sponsorshipThis study was funded by Instituto Nacional de Innovación Agraria (grant number INIA-12-RTA2012-00118-C03-02) and by Ministerio de Economía y Competitividad (Spain) (grant number TIN2015-65069-C2-2-R)spa
dc.format.extentp. 3492–3500spa
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.ispartofFood Analytical Methods, 9(12)spa
dc.rights© 2016 Springer
dc.subjectCider applespa
dc.subjectBreedingspa
dc.subjectChemometricspa
dc.subjectHS-GCspa
dc.subjectSPMEspa
dc.subjectVolatile compoundsspa
dc.titleCharacterization of Volatile Compounds in New Cider Apple Genotypes Using Multivariate Analysiseng
dc.typejournal articlespa
dc.identifier.doi10.1007/s12161-016-0521-7
dc.relation.projectIDINIA-12-RTA2012-00118-C03-02
dc.relation.projectIDTIN2015-65069-C2-2-R
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s12161-016-0521-7spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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