Evidence map›Paper›PMID 24732668›Full record

ArticlePloS one2014

The USDA barley core collection: genetic diversity, population structure, and potential for genome-wide association studies.

María Muñoz-Amatriaín, Alfonso Cuesta-Marcos, Jeffrey B Endelman, Jordi Comadran, John M Bonman, Harold E Bockelman, Shiaoman Chao, Joanne Russell, Robbie Waugh, Patrick M Hayes and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

104 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Global perspective on the genetic architecture of susceptibility to spot form net blotch in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  5. Spatial coordination between leaf gradient and temperature response in barley.The Plant journal : for cell and molecular biology · 2026
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  6. Article
  7. Article
  8. Review
  9. Article
  10. On the origin of the late-flowering ppd-H1 allele in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  11. Article
  12. Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025
    Review
  13. Article
  14. Review
  15. CountrywideFrontiers in plant science · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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

11 authors.

María Muñoz-AmatriaínDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, United States of America.
Alfonso Cuesta-MarcosDepartment of Crop and Soil Science, Oregon State University, Corvallis, Oregon, United States of America.
Jeffrey B EndelmanDepartment of Horticulture, University of Wisconsin, Madison, Wisconsin, United States of America.
Jordi ComadranThe James Hutton Institute, Invergowrie, Dundee, United Kingdom.
John M BonmanUSDA-ARS, Small Grains and Potato Germplasm Research Unit, Aberdeen, Idaho, United States of America.
Harold E BockelmanUSDA-ARS, Small Grains and Potato Germplasm Research Unit, Aberdeen, Idaho, United States of America.
Shiaoman ChaoUSDA-ARS, Biosciences Research Lab, Fargo, North Dakota, United States of America.
Joanne RussellThe James Hutton Institute, Invergowrie, Dundee, United Kingdom.
Robbie WaughThe James Hutton Institute, Invergowrie, Dundee, United Kingdom.
Patrick M HayesDepartment of Crop and Soil Science, Oregon State University, Corvallis, Oregon, United States of America.
Gary J MuehlbauerDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, United States of America; Department of Plant Biology, University of Minnesota, St. Paul, Minnesota, United States of America.

Funding

Biotechnology and Biological Sciences Research Council BB/D522003/1
6 · The paper itself

Abstract

New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define 'mini-core' sets of accessions capturing the majority of the allelic diversity present in the core collection. These 'mini-core' sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of 'hull cover', 'spike row number', and 'heading date' demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections.

Indexed as

Genetic VariationAgricultureAllelesChromosome MappingGenes, PlantGenetic Association StudiesGenotypeGeographyHordeumLinkage DisequilibriumModels, StatisticalMultigene FamilyPhenotypePolymorphism, Single NucleotidePrincipal Component AnalysisUnited States

Identifiers

PMID24732668
PMCPMC3986206

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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.