Evidence map›Paper›PMID 27922629›Full record

ArticleScientific data2016

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

Bénédicte Wenden, José Antonio Campoy, Julien Lecourt, Gregorio López Ortega, Michael Blanke, Sanja Radičević, Elisabeth Schüller, Andreas Spornberger, Danilo Christen, Hugo Magein and 8 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Bénédicte WendenUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon 33140, France.
José Antonio CampoyUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon 33140, France.
Julien LecourtNIAB EMR, East Malling, ME19 6BJ, UK.
Gregorio López OrtegaIMIDA, Murcia Institute of Agri-Food Research and Development, Murcia 30150, Spain.
Michael BlankeINRES-Horticultural Science, University of Bonn, 53121 Bonn, Germany.
Sanja RadičevićFruit Research Institute (FRI), Čačak 32000, Republic of Serbia.
Elisabeth SchüllerUniversity of Natural Resources and Life Sciences, Vienna, Department of Crop Sciences, Division of Viticulture and Pomology, Vienna 1180, Austria.
Andreas SpornbergerUniversity of Natural Resources and Life Sciences, Vienna, Department of Crop Sciences, Division of Viticulture and Pomology, Vienna 1180, Austria.
Danilo ChristenAgroscope Changins-Wädenswil Research Station ACW, 1964 Conthey, Switzerland.
Hugo MageinWalloon Agricultural Research Center (CRA-W), Gembloux 5030, Belgium.
Daniela GiovanniniCREA, Council for Agricultural Research and Economics, Fruit Tree Research Unit of Forlì, Forlì 47121, Italy.
Carlos CampilloScientific and Technological Research Center of Extremadura (CICYTEX), Guadajira (Badajoz) 06187, Spain.
Svetoslav MalchevFruit Growing Institute-Plovdiv, Plovdiv 4004, Bulgaria.
José Miguel PerisIRTA, Experimental Station of Lleida, Lleida 25003, Spain.
Mekjell MelandNorwegian Institute of Bioeconomy Research-NIBIO Ullensvang, Lofthus N-5781, Norway.
Rolf StehrFruit Research Center Jork, Jork D-21635, Germany.
Gérard CharlotCtifl, 751 chemin de Balandran, Bellegarde 30127, France.
José Quero-GarcíaUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon 33140, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Climate ChangeCrop ProductionGardeningBreedingEuropeFlowersModels, BiologicalPrunus avium

Identifiers

PMID27922629
PMCPMC5139674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.