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...

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Veröffentlicht in:Scientific data 2016-12, Vol.3 (1), p.160108-160108, Article 160108
Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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. Design Type(s) observation design • data integration objective Measurement Type(s) phenology Technology Type(s) visual observation method Factor Type(s) selectively maintained organism Sample Characteristic(s) Prunus avium • French Republic • Germany • Serbia • Kingdom of Spain • Switzerland • United Kingdom • Italy • Belgium • Bulgaria • Kingdom of Norway • Austria Machine-accessible metadata file describing the reported data (ISA-Tab format)
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2016.108