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A collection of European sweet cherry phenology data for assessing climate change
Professional and scientific networks built around the production of sweet cherry (Prunus avium L.) led to the collection of phenology data for a wide range of cultivars grown in experimental sites characterized by highly contrasted climatic conditions. We present a dataset of flowering and maturity...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139674/ https://www.ncbi.nlm.nih.gov/pubmed/27922629 http://dx.doi.org/10.1038/sdata.2016.108 |
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author | Wenden, Bénédicte Campoy, José Antonio Lecourt, Julien López Ortega, Gregorio Blanke, Michael Radičević, Sanja Schüller, Elisabeth Spornberger, Andreas Christen, Danilo Magein, Hugo Giovannini, Daniela Campillo, Carlos Malchev, Svetoslav Peris, José Miguel Meland, Mekjell Stehr, Rolf Charlot, Gérard Quero-García, José |
author_facet | Wenden, Bénédicte Campoy, José Antonio Lecourt, Julien López Ortega, Gregorio Blanke, Michael Radičević, Sanja Schüller, Elisabeth Spornberger, Andreas Christen, Danilo Magein, Hugo Giovannini, Daniela Campillo, Carlos Malchev, Svetoslav Peris, José Miguel Meland, Mekjell Stehr, Rolf Charlot, Gérard Quero-García, José |
author_sort | Wenden, Bénédicte |
collection | PubMed |
description | Professional and scientific networks built around the production of sweet cherry (Prunus avium L.) led to the collection of phenology data for a wide range of cultivars grown in experimental sites characterized by highly contrasted climatic conditions. We present a dataset of flowering and maturity dates, recorded each year for one tree when available, or the average of several trees for each cultivar, over a period of 37 years (1978–2015). Such a dataset is extremely valuable for characterizing the phenological response to climate change, and the plasticity of the different cultivars’ behaviour under different environmental conditions. In addition, this dataset will support the development of predictive models for sweet cherry phenology exploitable at the continental scale, and will help anticipate breeding strategies in order to maintain and improve sweet cherry production in Europe. |
format | Online Article Text |
id | pubmed-5139674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51396742016-12-08 A collection of European sweet cherry phenology data for assessing climate change Wenden, Bénédicte Campoy, José Antonio Lecourt, Julien López Ortega, Gregorio Blanke, Michael Radičević, Sanja Schüller, Elisabeth Spornberger, Andreas Christen, Danilo Magein, Hugo Giovannini, Daniela Campillo, Carlos Malchev, Svetoslav Peris, José Miguel Meland, Mekjell Stehr, Rolf Charlot, Gérard Quero-García, José Sci Data Data Descriptor Professional and scientific networks built around the production of sweet cherry (Prunus avium L.) led to the collection of phenology data for a wide range of cultivars grown in experimental sites characterized by highly contrasted climatic conditions. We present a dataset of flowering and maturity dates, recorded each year for one tree when available, or the average of several trees for each cultivar, over a period of 37 years (1978–2015). Such a dataset is extremely valuable for characterizing the phenological response to climate change, and the plasticity of the different cultivars’ behaviour under different environmental conditions. In addition, this dataset will support the development of predictive models for sweet cherry phenology exploitable at the continental scale, and will help anticipate breeding strategies in order to maintain and improve sweet cherry production in Europe. Nature Publishing Group 2016-12-06 /pmc/articles/PMC5139674/ /pubmed/27922629 http://dx.doi.org/10.1038/sdata.2016.108 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Wenden, Bénédicte Campoy, José Antonio Lecourt, Julien López Ortega, Gregorio Blanke, Michael Radičević, Sanja Schüller, Elisabeth Spornberger, Andreas Christen, Danilo Magein, Hugo Giovannini, Daniela Campillo, Carlos Malchev, Svetoslav Peris, José Miguel Meland, Mekjell Stehr, Rolf Charlot, Gérard Quero-García, José A collection of European sweet cherry phenology data for assessing climate change |
title | A collection of European sweet cherry phenology data for assessing climate change |
title_full | A collection of European sweet cherry phenology data for assessing climate change |
title_fullStr | A collection of European sweet cherry phenology data for assessing climate change |
title_full_unstemmed | A collection of European sweet cherry phenology data for assessing climate change |
title_short | A collection of European sweet cherry phenology data for assessing climate change |
title_sort | collection of european sweet cherry phenology data for assessing climate change |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139674/ https://www.ncbi.nlm.nih.gov/pubmed/27922629 http://dx.doi.org/10.1038/sdata.2016.108 |
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