A collection of European sweet cherry phenology data for assessing climate change
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2016
Autori
Wenden, B.Campoy, J.A.
Lecourt, J.
López, Ortega, G.
Blanke, Michael M.
![](/themes/MirageReFRI/images/orcid.png)
Radičević, Sanja
![](/themes/MirageReFRI/images/orcid.png)
Schüller, E.
Spornberger, A.
Christen, D.
Magein, H.
Giovannini, D.
Campillo, C.
Malchev, S.
Peris, J.M.
Meland, Mekjell
![](/themes/MirageReFRI/images/orcid.png)
Stehr, R.
Charlot, G.
Quero-García, J.
Članak u časopisu (Objavljena verzija)
BY, CC0
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Izvor:
Scientific Data, 2016, 3Izdavač:
- Nature Publishing Groups
Finansiranje / projekti:
- Stvaranje i očuvanje genetičkog potencijala kontinentalnih vrsta voćaka (RS-MESTD-Technological Development (TD or TR)-31064)
- Selekcija medonosne pčele, određivanje kvaliteta i geografskog porekla meda u Srbiji (RS-MESTD-MPN2006-2010-20102)
DOI: 10.1038/sdata.2016.108
ISSN: 2052-4463
PubMed: 27922629
WoS: 000390238400004
Scopus: 2-s2.0-85002584057
Institucija/grupa
Institut za voćarstvoTY - JOUR AU - Wenden, B. AU - Campoy, J.A. AU - Lecourt, J. AU - López, Ortega, G. AU - Blanke, Michael M. AU - Radičević, Sanja AU - Schüller, E. AU - Spornberger, A. AU - Christen, D. AU - Magein, H. AU - Giovannini, D. AU - Campillo, C. AU - Malchev, S. AU - Peris, J.M. AU - Meland, Mekjell AU - Stehr, R. AU - Charlot, G. AU - Quero-García, J. PY - 2016 UR - https://refri.institut-cacak.org/handle/123456789/353 AB - 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. PB - Nature Publishing Groups T2 - Scientific Data T1 - A collection of European sweet cherry phenology data for assessing climate change VL - 3 DO - 10.1038/sdata.2016.108 UR - conv_1690 ER -
@article{ author = "Wenden, B. and Campoy, J.A. and Lecourt, J. and López, Ortega, G. and Blanke, Michael M. and Radičević, Sanja and Schüller, E. and Spornberger, A. and Christen, D. and Magein, H. and Giovannini, D. and Campillo, C. and Malchev, S. and Peris, J.M. and Meland, Mekjell and Stehr, R. and Charlot, G. and Quero-García, J.", year = "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.", publisher = "Nature Publishing Groups", journal = "Scientific Data", title = "A collection of European sweet cherry phenology data for assessing climate change", volume = "3", doi = "10.1038/sdata.2016.108", url = "conv_1690" }
Wenden, B., Campoy, J.A., Lecourt, J., López, O. G., Blanke, M. M., Radičević, S., Schüller, E., Spornberger, A., Christen, D., Magein, H., Giovannini, D., Campillo, C., Malchev, S., Peris, J.M., Meland, M., Stehr, R., Charlot, G.,& Quero-García, J.. (2016). A collection of European sweet cherry phenology data for assessing climate change. in Scientific Data Nature Publishing Groups., 3. https://doi.org/10.1038/sdata.2016.108 conv_1690
Wenden B, Campoy J, Lecourt J, López OG, Blanke MM, Radičević S, Schüller E, Spornberger A, Christen D, Magein H, Giovannini D, Campillo C, Malchev S, Peris J, Meland M, Stehr R, Charlot G, Quero-García J. A collection of European sweet cherry phenology data for assessing climate change. in Scientific Data. 2016;3. doi:10.1038/sdata.2016.108 conv_1690 .
Wenden, B., Campoy, J.A., Lecourt, J., López, Ortega, G., Blanke, Michael M., Radičević, Sanja, Schüller, E., Spornberger, A., Christen, D., Magein, H., Giovannini, D., Campillo, C., Malchev, S., Peris, J.M., Meland, Mekjell, Stehr, R., Charlot, G., Quero-García, J., "A collection of European sweet cherry phenology data for assessing climate change" in Scientific Data, 3 (2016), https://doi.org/10.1038/sdata.2016.108 ., conv_1690 .