A collection of European sweet cherry phenology data for assessing climate change
LÓPEZ ORTEGA, Gregorio
Instituto Murciano de Investigación y desarrollo Agrario y Alimentario [IMIDA]
Instituto Murciano de Investigación y desarrollo Agrario y Alimentario [IMIDA]
SCHÜLLER, Elisabeth
Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] [BOKU]
Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] [BOKU]
SPORNBERGER, Andreas
Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] [BOKU]
Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] [BOKU]
GIOVANNINI, Daniela
Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics [CREA]
Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics [CREA]
PERIS, José Miguel
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
< Réduire
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Langue
en
Article de revue
Ce document a été publié dans
Scientific Data. 2016, vol. 3, p. 160108
Nature Publishing Group
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
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Importé de halUnités de recherche