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dc.contributor.author | Pereira-Días, Leandro | es_ES |
dc.contributor.author | Fita, Ana | es_ES |
dc.contributor.author | Vilanova Navarro, Santiago | es_ES |
dc.contributor.author | Sanchez-Lopez, Elena | es_ES |
dc.contributor.author | Rodríguez Burruezo, Adrián | es_ES |
dc.date.accessioned | 2021-09-02T03:31:36Z | |
dc.date.available | 2021-09-02T03:31:36Z | |
dc.date.issued | 2021-04-30 | es_ES |
dc.identifier.issn | 0304-4238 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/171221 | |
dc.description.abstract | [EN] Spain is a relevant secondary centre of diversity for Capsicum annuum peppers, especially for the bell types known as Pimiento Morron or Pimiento de Morro. Thus, a myriad of highly regarded landraces adapted to a wide range of conditions can be found throughout the country, as a result of centuries of farmers breeding. Despite that, these materials lack of proper characterization, of paramount importance for farmers, breeders and germplasm management. In this regard, in addition to internationally accepted conventional descriptors, high-throughput digital phenotyping tools like Tomato Analyzer, a software originally developed to process scanned images of cut tomato fruits and to record a range of morphological parameters, may provide an important help towards exhaustive germplasm characterization. With this aim, 32 conventional and 35 Tomato Analyzer digital traits were used herein to characterize a large collection of C. annuum accessions from all Spanish regions, including Protected Designations of Origin and Protected Geographical Indications, with emphasis on Marron peppers, in order to assess the diversity within Spanish elite germplasm and to test the efficiency of those methods to differentiate varietal types and closely related materials. A considerable amount of variation was found using both conventional and digital traits, even within Marron pepper groups, reflecting the diversity of Spanish peppers in terms of plant and fruit morphology, essential for future breeding programs. Both conventional descriptors and digital parameters were able to distinguish varietal groups. However, on the whole, digital phenotyping was able to discriminate in a more accurate way. Most digital parameters were able to discriminate varietal groups into higher numbers of categories (>= 4) than conventional traits (usually 2-4). In addition, the number of significant pairwise differences among varietal groups was considerably higher for digital parameters than for conventional descriptors, enabling a powerful separation, particularly relevant for closely related groups such as Morron peppers. Likewise, as revealed by Principal Components Analysis, digital phenotyping allowed a more powerful intra-varietal separation compared to conventional descriptors. Finally, a subset of 4 conventional descriptors and 13 Tomato Analyzer traits were identified as the most discriminant to distinguish among closely related C. annuum accessions, explaining 81.81 % of total variance found by Principal Components Analysis. Fruit traits explained the highest percentage of variance for our collection | es_ES |
dc.description.sponsorship | This work has been financed by INIA projects RTA2014-00041-C02-02 and RF2010-00025-00-00, FEDER fund\s. Authors are also grateful to the different Research Institutions, scientists and breeders, and PDOs and PGIs Regulatory Boards, included on Table 1 for providing part of the materials studied here. Finally, thanks are given to Prof. Jaime Prohens for his kind and useful advice in the statistic interpretation of PCAs and MSc Elena Rosa for her help in the edition of Fig. 1. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Scientia Horticulturae | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Capsicum annuum | es_ES |
dc.subject | Ecotypes | es_ES |
dc.subject | Germplasm | es_ES |
dc.subject | Protected Designations of Origin | es_ES |
dc.subject | IPGRI | es_ES |
dc.subject | Tomato Analyzer | es_ES |
dc.subject.classification | GENETICA | es_ES |
dc.title | Phenomics of elite heirlooms of peppers (Capsicum annuum L.) from the Spanish centre of diversity: Conventional and high-throughput digital tools towards varietal typification | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.scienta.2020.109245 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//RF2010-00025-00-00/ES/Consecución de una colección nuclear de pimiento y especies relacionadas (Capsicum spp.) basada en marcadores AFLPs y SSRs/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//RTA2014-00041-C02-02/ES/Selección y mejora de variedades tradicionales de pimiento (Capsicum annuum L.) para rendimiento y calidad de fruto y adaptadas a cultivo ecológico/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia | 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 | Pereira-Días, L.; Fita, A.; Vilanova Navarro, S.; Sanchez-Lopez, E.; Rodríguez Burruezo, A. (2021). Phenomics of elite heirlooms of peppers (Capsicum annuum L.) from the Spanish centre of diversity: Conventional and high-throughput digital tools towards varietal typification. Scientia Horticulturae. 265:1-17. https://doi.org/10.1016/j.scienta.2020.109245 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.scienta.2020.109245 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 265 | es_ES |
dc.relation.pasarela | S\402833 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
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