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

• DOI: 10.1007/s12161-016-0521-7
• Publication Date: 2016-05-24T15:31:10Z
• Authors: Jairo Pello-Palma; Juan José Mangas-...; Enrique Dapena de...; Jaime González-Ál...; Jorge Díez; María Dolores Gut...; Pilar Arias Abrodo
• Keywords: 0301 basic medicine; 03 medical and health sciences; Cider apple; SPME; Volatile compounds; Chemometric; Breeding; HS-GC

This 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)<br/>Gas 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 low<br/>