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A collection of European sweet cherry phenology data for assessing climate change

Authors :
Hugo Magein
Julien Lecourt
Andreas Spornberger
Daniela Giovannini
José Quero-Garcia
Danilo Christen
Mekjell Meland
Carlos Campillo
Svetoslav Malchev
Elisabeth Schüller
Gregorio López Ortega
José Miguel Peris
Michael Blanke
José Antonio Campoy
Sanja Radičević
Bénédicte Wenden
Gérard Charlot
Rolf Stehr
Biologie du fruit et pathologie (BFP)
Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1
NIAB EMR
Partenaires INRAE
Instituto Murciano de Investigación y desarrollo Agrario y Alimentario (IMIDA)
Rheinische Friedrich-Wilhelms-Universität Bonn
Fruit Research Institute
General Directorate of Agricultural Research and Policies (TAGEM)
Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU)
Agroscope
Centre Wallon de Recherches Agronomiques (CRA-W)
Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA)
Scientific and Technological Research Center of Extremadura (CICYTEX)
Fruit Growing Institute - Plovdiv
Institute of Agrifood Research and Technology (IRTA)
Norwegian Institute of Bioeconomy Research (NIBIO)
Esteburg - Fruit Research Center Jork
Centre Technique Interprofessionnel des Fruits et Légumes (CTIFL)
Producció Vegetal
Fructicultura
Source :
Scientific Data (3), 160108. (2016), Scientific Data, Scientific Data, Nature Publishing Group, 2016, 3, pp.160108. ⟨10.1038/sdata.2016.108⟩
Publication Year :
2016
Publisher :
Nature Publishing Group, 2016.

Abstract

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.

Details

Language :
English
ISSN :
20524463
Database :
OpenAIRE
Journal :
Scientific Data (3), 160108. (2016), Scientific Data, Scientific Data, Nature Publishing Group, 2016, 3, pp.160108. ⟨10.1038/sdata.2016.108⟩
Accession number :
edsair.doi.dedup.....44e1327ffb0333b0b19626a9bf83ba54