Evidence map›Paper›PMID 37074596›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

Genetic analysis of global faba bean diversity, agronomic traits and selection signatures.

Cathrine Kiel Skovbjerg, Deepti Angra, Tom Robertson-Shersby-Harvie, Jonathan Kreplak, Gabriel Keeble-Gagnère, Sukhjiwan Kaur, Wolfgang Ecke, Alex Windhorst, Linda Kærgaard Nielsen, Andrea Schiemann and 13 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frontiers in plant science · 2026
    Article
  7. Article
  8. Article
  9. Factors affecting the genetic diversity ofFrontiers in plant science · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

23 authors.

Cathrine Kiel SkovbjergDepartment of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark. cks@qgg.au.dk.ORCID http://orcid.org/0000-0001-9780-2920
Deepti AngraSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Tom Robertson-Shersby-HarvieSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Jonathan KreplakAgroécologie, AgroSup Dijon, INRAE, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France.
Gabriel Keeble-GagnèreAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Sukhjiwan KaurAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Wolfgang EckeDepartment of Crop Sciences, Georg-August-University, Göttingen, Germany.
Alex WindhorstGeorg-August-Universität Göttingen, DNPW, Carl-Sprengel 1, Germany.
Linda Kærgaard NielsenSejet Planteforædling, 8700, Horsens, Denmark.
Andrea SchiemannNordic Seed, 8300, Odder, Denmark.
Jens KnudsenNordic Seed, 8300, Odder, Denmark.
Natalia GutierrezÁrea de Mejora Vegetal y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
Vasiliki TagkouliSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Lavinia Ioana FecheteDepartment of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark.
Luc JanssCenter for Quantitative Genetics and Genomics, Aarhus University, 8000, Aarhus, Denmark.
Jens StougaardDepartment of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark.
Ahmed WarsameSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Sheila AlvesCrops Research, Teagasc, Oak Park, Carlow, Ireland.
Hamid KhazaeiProduction Systems, Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790, Helsinki, Finland.
Wolfgang LinkGeorg-August-Universität Göttingen, DNPW, Carl-Sprengel 1, Germany.
Ana Maria TorresÁrea de Mejora Vegetal y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
Donal Martin O'SullivanSchool of Agriculture, Policy and Development, University of Reading, Reading, UK.
Stig Uggerhøj AndersenDepartment of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark. sua@mbg.au.dk.ORCID http://orcid.org/0000-0002-1096-1468

Funding

Biotechnology and Biological Sciences Research Council BB/P023509/1
6 · The paper itself

Abstract

key messageWe identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for sustainable protein production. However, little is known about the genetics underlying trait diversity. In this study, we used 21,345 high-quality SNP markers to genetically characterize 2678 faba bean genotypes. We performed genome-wide association studies of key agronomic traits using a seven-parent-MAGIC population and detected 238 significant marker-trait associations linked to 12 traits of agronomic importance. Sixty-five of these were stable across multiple environments. Using a non-redundant diversity panel of 685 accessions from 52 countries, we identified three subpopulations differentiated by geographical origin and 33 genomic regions subjected to strong diversifying selection between subpopulations. We found that SNP markers associated with the differentiation of northern and southern accessions explained a significant proportion of agronomic trait variance in the seven-parent-MAGIC population, suggesting that some of these traits were targets of selection during breeding. Our findings point to genomic regions associated with important agronomic traits and selection, facilitating faba bean genomics-based breeding.

Indexed as

FabaceaeVicia fabaGenome-Wide Association StudyPhenotypePlant Breeding

Identifiers

PMID37074596
PMCPMC10115707

What OpenQuestion holds

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Registered trials

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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.