Evidence map›Paper›PMID 37822888›Full record

ArticleData in brief2023

In-situ start and end of growing season dates of major European crop types from France and Bulgaria at a field level.

Dessislava Ganeva, Tiphaine Tallec, Aurore Brut, Egor Prikaziuk, Enrico Tomelleri, Gerbrand Koren, Jochem Verrelst, Katja Berger, Lukas Valentin Graf, Santiago Belda and 2 more

Abstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Dessislava GanevaSpace Research and Technology Institute, Bulgarian Academy of Sciences, Acad. Georgi Bonchev bl.1, 1113 Sofia, Bulgaria.
Tiphaine TallecCESBIO, Université de Toulouse, CNES/CNRS/INRAE/IRD/UPS, Toulouse, France.
Aurore BrutCESBIO, Université de Toulouse, CNES/CNRS/INRAE/IRD/UPS, Toulouse, France.
Egor PrikaziukFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands.
Enrico TomelleriFaculty of Agricultural Environmental and Food Sciences Free University of Bozen/Bolzano, 39100 Bolzano, Italy.
Gerbrand KorenCopernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands.
Jochem VerrelstImage Processing Laboratory (IPL), University of Valencia, 46980 Paterna, Spain.
Katja BergerImage Processing Laboratory (IPL), University of Valencia, 46980 Paterna, Spain.
Lukas Valentin GrafInstitute for Agricultural Science, ETH Zürich, Universitatsstrasse 2, CH-8092 Zürich, Switzerland.
Santiago BeldaDepartment of Applied Mathematics, Universidad de Alicante, Carretera San Vicente del Raspeig s/n 03690 San Vicente del Raspeig - Alicante, Spain.
Zhanzhang CaiDepartment of Physical Geography and Ecosystem Science, Lund University, Solvegatan 12, S-223 62 Lund, Sweden.
Cláudio F SilvaForest Research Centre (CEF) and Associated Laboratory TERRA, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop phenology data offer crucial information for crop yield estimation, agricultural management, and assessment of agroecosystems. Such information becomes more important in the context of increasing year-to-year climatic variability. The dataset provides in-situ crop phenology data (first leaves emergence and harvest date) of major European crops (wheat, corn, sunflower, rapeseed) from seventeen field study sites in Bulgaria and two in France. Additional information such as the sowing date, area of each site, coordinates, method and equipment used for phenophase data estimation, and photos of the France sites are also provided. The georeferenced ground-truth dataset provides a solid base for a better understanding of crop growth and can be used to validate the retrieval of phenological stages from remote sensing data.

Indexed as

BBCHCover cropPhenologySummer cropWinter crop

Identifiers

PMID37822888
PMCPMC10562679

What OpenQuestion holds

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LicenceCC BY
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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.