The perceivable quality of apple is one of the most important aspects to be considered in breeding, for the selection as well as the commercialization of new accessions. Sensory science allows the definition and control of the multidimensional space behind the perceived quality of apple, but it is usually expensive and time consuming. For this reason the implementation of sensory attributes as phenotypic descriptors for genomic investigation is, in general, difficult. In 2010 we started a large sensory/instrumental phenotyping activity on several apple based on innovative technology and multidisciplinary know how to define models that, on the basis of rapid instrumental characterization, can provide reliable quantification of key sensory traits on large data sets to be used in genome wide association analysis, particularly elucidating the genetic basis of fruit texture and flavor related traits. Here we describe the general frame of our project and the results obtained as follows: i) the set up of a comprehensive sensory methodology to provide reliable, unified and competitive sensory characterization, ii) the setting and validation of models to estimate sensory attributes based on instrumental data, iii) the study of the complexity of the interaction between product and consumer during apple fruits consumption by nose space analysis and psycho‐physical experiments and iv) the investigation of the link with genomic information.

Towards high throughput phenotyping of the multisensory space of apple quality / Biasioli, Franco; Aprea, Eugenio; Betta, Emanuela; Cappellin, Luca; Corollaro, Maria Laura; Costa, Fabrizio; Dematte', Maria Luisa; Endrizzi, Isabella; Romano, Andrea; Ting, Valentina; Gasperi, Flavia. - (2012), pp. 78-79. ((Intervento presentato al convegno 6th Rosaceous Genomics Conference (RGC6) tenutosi a Mezzocorona (TN) nel 30 settembre-4 ottobre 2012.

Towards high throughput phenotyping of the multisensory space of apple quality

Aprea, Eugenio;Costa, Fabrizio;Dematte', Maria Luisa;Endrizzi, Isabella;Gasperi, Flavia
2012-01-01

Abstract

The perceivable quality of apple is one of the most important aspects to be considered in breeding, for the selection as well as the commercialization of new accessions. Sensory science allows the definition and control of the multidimensional space behind the perceived quality of apple, but it is usually expensive and time consuming. For this reason the implementation of sensory attributes as phenotypic descriptors for genomic investigation is, in general, difficult. In 2010 we started a large sensory/instrumental phenotyping activity on several apple based on innovative technology and multidisciplinary know how to define models that, on the basis of rapid instrumental characterization, can provide reliable quantification of key sensory traits on large data sets to be used in genome wide association analysis, particularly elucidating the genetic basis of fruit texture and flavor related traits. Here we describe the general frame of our project and the results obtained as follows: i) the set up of a comprehensive sensory methodology to provide reliable, unified and competitive sensory characterization, ii) the setting and validation of models to estimate sensory attributes based on instrumental data, iii) the study of the complexity of the interaction between product and consumer during apple fruits consumption by nose space analysis and psycho‐physical experiments and iv) the investigation of the link with genomic information.
Programme and book of abstracts - 6th Rosaceous Genomics Conference (RGC6)
Mezzacorona (TN) - Italia
6th Rosaceous Genomics Conference
Towards high throughput phenotyping of the multisensory space of apple quality / Biasioli, Franco; Aprea, Eugenio; Betta, Emanuela; Cappellin, Luca; Corollaro, Maria Laura; Costa, Fabrizio; Dematte', Maria Luisa; Endrizzi, Isabella; Romano, Andrea; Ting, Valentina; Gasperi, Flavia. - (2012), pp. 78-79. ((Intervento presentato al convegno 6th Rosaceous Genomics Conference (RGC6) tenutosi a Mezzocorona (TN) nel 30 settembre-4 ottobre 2012.
Biasioli, Franco; Aprea, Eugenio; Betta, Emanuela; Cappellin, Luca; Corollaro, Maria Laura; Costa, Fabrizio; Dematte', Maria Luisa; Endrizzi, Isabella; Romano, Andrea; Ting, Valentina; Gasperi, Flavia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/263558
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