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Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer

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Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer

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dc.contributor.author Figás Moreno, María del Rosario es_ES
dc.contributor.author Prohens Tomás, Jaime es_ES
dc.contributor.author Raigón Jiménez, Mª Dolores es_ES
dc.contributor.author Fernández de Córdova Martínez, Pascual José es_ES
dc.contributor.author Fita Fernández, Ana María es_ES
dc.contributor.author Soler Aleixandre, Salvador es_ES
dc.date.accessioned 2016-05-05T07:27:42Z
dc.date.available 2016-05-05T07:27:42Z
dc.date.issued 2015-02
dc.identifier.issn 0925-9864
dc.identifier.uri http://hdl.handle.net/10251/63682
dc.description.abstract [EN] Conventional tomato (Solanum lycopersicum L.) descriptors are of great utility for gross morphological characterization but may not be practical for the precise fruit description required for distinguishing closely related cultivar groups. Tomato Analyzer is a new phenomics tool that provides multiple fruit morphology data from scanned images of fruit sections. We characterized 69 accessions of local tomato varieties from the region of Vale`ncia (Spain) corresponding to eight cultivar groups (Borseta, Cherry, Cor, Penjar, Plana, Pruna, Redona, and Valenciana) with 64 conventional and 38 Tomato Analyzer descriptors. Significant differences were found among accessions for all traits except for five monomorphic conventional descriptors, revealing a large diversity in the collection. Significant differences were also found among cultivar groups for 36 conventional and 37 Tomato Analyzer descriptors. The groups Borseta, Cherry, Penjar, Plana, and Pruna were clearly distinct and each of them presented many significant differences with the rest of groups. Conventional descriptors did not differentiate well the Cor, Redona, and Valenciana cultivar groups, but Tomato Analyzer descriptors clearly distinguish Valenciana from Cor and Redona groups. A multivariate principal components analysis (PCA) showed that with the exception of six (8.7 %) accessions, the different cultivar groups (including the very similar Cor and Redona) plotted in separate areas of the PCA graph. The results have shown that combined conventional and Tomato Analyzer descriptors in conjunction with PCA analysis are a powerful tool for characterization and classification of local tomato varieties, as well as for distinguishing between related cultivar groups. This has important implications for the enhancement and protection of local tomato varieties es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Genetic Resources and Crop Evolution es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cultivar groups es_ES
dc.subject Descriptors es_ES
dc.subject Local varieties es_ES
dc.subject Morphology es_ES
dc.subject Phenomics es_ES
dc.subject Solanum lycopersicum es_ES
dc.subject Tomato Analyzer es_ES
dc.title Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10722-014-0142-1
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Conservación y Mejora de la Agrodiversidad Valenciana - Institut Universitari de Conservació i Millora de l'Agrodiversitat Valenciana es_ES
dc.description.bibliographicCitation Figás Moreno, MDR.; Prohens Tomás, J.; Raigón Jiménez, MD.; Fernández De Córdova Martínez, PJ.; Fita Fernández, AM.; Soler Aleixandre, S. (2015). Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer. Genetic Resources and Crop Evolution. 62:189-204. doi:10.1007/s10722-014-0142-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://dx.doi.org/10.1007/s10722-014-0142-1 es_ES
dc.description.upvformatpinicio 189 es_ES
dc.description.upvformatpfin 204 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 62 es_ES
dc.relation.senia 277630 es_ES
dc.identifier.eissn 1573-5109
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