Evidence map›Paper›PMID 21472410›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

Determination of genetic structure of germplasm collections: are traditional hierarchical clustering methods appropriate for molecular marker data?

T L Odong, J van Heerwaarden, J Jansen, T J L van Hintum, F A van Eeuwijk

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Nuclear DNA Amount in a Diverse Collection ofInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Nuclear DNA Content Analyses by Flow Cytometry of Saffron (Current issues in molecular biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Population Structure and Relatedness for Genome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Deciphering genetic diversity analysis of saffron (Saudi journal of biological sciences · 2021
    Article
  16. Article
  17. Article
  18. Molecular and phenotypic diversity of groundnut (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    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

5 authors.

T L OdongWageningen University and Research, Biometris, Wageningen, The Netherlands. thomas.odong@wur.nl
J van Heerwaarden
J Jansen
T J L van Hintum
F A van Eeuwijk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of newer approaches, traditional hierarchical clustering remains very popular in genetic diversity studies in plants. However, little is known about its suitability for molecular marker data. We studied the performance of traditional hierarchical clustering techniques using real and simulated molecular marker data. Our study also compared the performance of traditional hierarchical clustering with model-based clustering (STRUCTURE). We showed that the cophenetic correlation coefficient is directly related to subgroup differentiation and can thus be used as an indicator of the presence of genetically distinct subgroups in germplasm collections. Whereas UPGMA performed well in preserving distances between accessions, Ward excelled in recovering groups. Our results also showed a close similarity between clusters obtained by Ward and by STRUCTURE. Traditional cluster analysis can provide an easy and effective way of determining structure in germplasm collections using molecular marker data, and, the output can be used for sampling core collections or for association studies.

Indexed as

Cluster AnalysisGenes, PlantGenetic VariationBiomarkersCocosComputer SimulationGene LibraryGenetic StructuresGenotypePhaseolusPhenotypePhylogenySolanumBiomarkers

Identifiers

PMID21472410
PMCPMC3114091

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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.