Evidence map›Paper›PMID 25372869›Full record

ArticlePloS one2014

Genome-wide association mapping for kernel and malting quality traits using historical European barley records.

Inge E Matthies, Marcos Malosetti, Marion S Röder, Fred van Eeuwijk

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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

32 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. TheCells · 2023
    Review
  5. Article
  6. Malting quality and preharvest sprouting traits are genetically correlated in spring malting barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Association mapping of malting quality traits in UK spring and winter barley cultivar collections.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Finger Millet [Frontiers in plant science · 2018
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Inge E MatthiesDepartment of Gene and genome mapping, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Sachsen-Anhalt, Germany.
Marcos MalosettiBiometris, Wageningen University and Research Centre, Wageningen, Gelderland, The Netherlands.
Marion S RöderDepartment of Gene and genome mapping, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Sachsen-Anhalt, Germany.
Fred van EeuwijkBiometris, Wageningen University and Research Centre, Wageningen, Gelderland, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malting quality is an important trait in breeding barley (Hordeum vulgare L.). It requires elaborate, expensive phenotyping, which involves micro-malting experiments. Although there is abundant historical information available for different cultivars in different years and trials, that historical information is not often used in genetic analyses. This study aimed to exploit historical records to assist in identifying genomic regions that affect malting and kernel quality traits in barley. This genome-wide association study utilized information on grain yield and 18 quality traits accumulated over 25 years on 174 European spring and winter barley cultivars combined with diversity array technology markers. Marker-trait associations were tested with a mixed linear model. This model took into account the genetic relatedness between cultivars based on principal components scores obtained from marker information. We detected 140 marker-trait associations. Some of these associations confirmed previously known quantitative trait loci for malting quality (on chromosomes 1H, 2H, and 5H). Other associations were reported for the first time in this study. The genetic correlations between traits are discussed in relation to the chromosomal regions associated with the different traits. This approach is expected to be particularly useful when designing strategies for multiple trait improvements.

Indexed as

Genome, PlantQuantitative Trait, HeritableGenome-Wide Association StudyHordeumQuantitative Trait LociSeeds

Identifiers

PMID25372869
PMCPMC4221631

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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.