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Integration of expert knowledge in the definition of Swiss pear core collection
dc.creator | Urrestarazu Vidart, Jorge | es_ES |
dc.creator | Kägi, C. | es_ES |
dc.creator | Bühlmann, A. | es_ES |
dc.creator | Gassmann, Jennifer | es_ES |
dc.creator | Santesteban García, Gonzaga | es_ES |
dc.creator | Frey, Juerg E. | es_ES |
dc.creator | Kellerhals, Markus | es_ES |
dc.creator | Miranda Jiménez, Carlos | es_ES |
dc.date.accessioned | 2020-03-06T10:04:34Z | |
dc.date.available | 2020-03-06T10:04:34Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://hdl.handle.net/2454/36431 | |
dc.description.abstract | Core collections (CCs) constitute a key tool for the characterization and management of genetic resources (GR). When the institutions involved in GR preservation decide to define a CC, they frequently prefer to select accessions based not only on strictly objective criteria, but also to add others following expert knowledge considerations (popularity, prestige, role in breeding history, or presence of phenotypic features of interest). The aim of this study was to evaluate the implications of approaches that combine formal analytical procedures and expert knowledge on the efficiency of CC definition through a case study to establish a pear CC from the Swiss National Pear Inventory. The CC had to represent a maximum of the genetic diversity, not to exceed 150 accessions, and required to include a priority set (SPPS) with 86 genotypes selected based on expert knowledge. In total, nine strategies were evaluated, resulting of combining compositions of the dataset sampled, sampling sizes and methods. The CCs sampled by mixed approaches provided similar scores, irrespective of the approach considered, and obtained similar efficiency in optimizing the genetic diversity retained. Therefore, mixed approaches can be an appropriate choice for applications involving genetic conservation in tree germplasm collections. | en |
dc.description.sponsorship | This project was funded through the Federal Office for Agriculture FOAG within the NPA-PGRFA. | en |
dc.format.extent | 10 p. | |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Nature Research | en |
dc.relation.ispartof | Scientific Reports, (2019), 9, 8934 | en |
dc.rights | © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Core collections | en |
dc.subject | Genetic | en |
dc.subject | Swiss National Pear Inventory | en |
dc.subject | Expert knowledge | en |
dc.title | Integration of expert knowledge in the definition of Swiss pear core collection | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | Artículo / Artikulua | es |
dc.contributor.department | Agronomía, Biotecnología y Alimentación | es_ES |
dc.contributor.department | Agronomia, Bioteknologia eta Elikadura | eu |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.identifier.doi | 10.1038/s41598-019-44871-3 | |
dc.relation.publisherversion | https://doi.org/10.1038/s41598-019-44871-3 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.type.version | Versión publicada / Argitaratu den bertsioa | es |
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La licencia del ítem se describe como © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International
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Commons license, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not permitted
by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder.