Evidence map›Paper›PMID 36056030›Full record

ArticleScientific data2022

Gabi wheat a panel of European elite lines as central stock for wheat genetic research.

Abhishek Gogna, Albert W Schulthess, Marion S Röder, Martin W Ganal, Jochen C Reif

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Order from entropy: big data from FAIR data cohorts in the digital age of plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  7. Article
  8. Harnessing big data for enhanced genome-wide prediction in winter wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  11. Ancient diversity ofFrontiers in plant science · 2025
    Article
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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

5 authors at 2 institutions in 1 country.

Abhishek GognaLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Stadt Seeland, Germany.ORCID 0000-0002-5990-1829
Albert W SchulthessLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Stadt Seeland, Germany.
Marion S RöderLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Stadt Seeland, Germany.
Martin W GanalSGS Institut Fresenius GmbH, TraitGenetics Section, Am Schwabeplan 1b, 06466, Stadt Seeland OT Gatersleben, Germany.
Jochen C ReifLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Stadt Seeland, Germany. reif@ipk-gatersleben.de.ORCID 0000-0002-6742-265X
Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DESGS Institut Fresenius (Germany) · DE

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 0315067Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 0315947Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 0315949Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031B0880ABundesministerium für Ernährung und Landwirtschaft (Federal Ministry of Food and Agriculture) 28DK131A20
6 · The paper itself

Abstract

In plant sciences, curation and availability of interoperable phenotypic and genomic data is still in its infancy and represents an obstacle to rapid scientific discoveries in this field. To that end, supplementing the efforts being made to generate open access wheat genome, pan wheat genome and other bioinformatic resources, we present the GABI-WHEAT panel of elite European cultivars comprising 358 winter and 14 summer wheat varieties released between 1975 to 2007. The panel has been genotyped with SNP arrays of increasing density to investigate several important agronomic, quality and disease resistance traits. The robustness of investigated traits and interoperability of genomic and phenotypic data was assessed in the current publication with the aim to transform this panel into a public data resource for future genetic research in wheat. Consecutively, the phenotypic data was formatted to comply with FAIR principles and linked to online databases to substantiate panel origin information and quality. Thus, we were able to make a valuable resource available for plant science in a sustainable way.

Indexed as

TriticumGenetic ResearchGenome-Wide Association StudyGenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID36056030
PMCPMC9440043
OpenAlexW4294276255

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.