Evidence map›Paper›PMID 24792040›Full record

ArticleGenetica2014

Developing core collections to optimize the management and the exploitation of diversity of the coffee Coffea canephora.

Thierry Leroy, Fabien De Bellis, Hyacinthe Legnate, Pascal Musoli, Adrien Kalonji, Rey Gastón Loor Solórzano, Philippe Cubry

Abstract read
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In one paragraph

Article in Genetica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic improvement of robusta coffee (Frontiers in plant science · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Revealing the Diversity of IntroducedTheScientificWorldJournal · 2017
    Article
  9. Genetic Variation and Population Structure ofFrontiers in plant science · 2017
    Article
  10. Article
  11. Article
  12. 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

7 authors.

Thierry LeroyCIRAD-UMR AGAP, 34398, Montpellier, France, thierry.leroy@cirad.fr.
Fabien De Bellis
Hyacinthe Legnate
Pascal Musoli
Adrien Kalonji
Rey Gastón Loor Solórzano
Philippe Cubry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of diversity for conservation and breeding is of great importance for all plant species and is particularly true in perennial species, such as the coffee Coffea canephora. This species exhibits a large genetic and phenotypic diversity with six different diversity groups. Large field collections are available in the Ivory Coast, Uganda and other Asian, American and African countries but are very expensive and time consuming to establish and maintain in large areas. We propose to improve coffee germplasm management through the construction of genetic core collections derived from a set of 565 accessions that are characterized with 13 microsatellite markers. Core collections of 12, 24 and 48 accessions were defined using two methods aimed to maximize the allelic diversity (Maximization strategy) or genetic distance (Maximum-Length Sub-Tree method). A composite core collection of 77 accessions is proposed for both objectives of an optimal management of diversity and breeding. This core collection presents a gene diversity value of 0.8 and exhibits the totality of the major alleles (i.e., 184) that are present in the initial set. The seven proposed core collections constitute a valuable tool for diversity management and a foundation for breeding programs. The use of these collections for collection management in research centers and breeding perspectives for coffee improvement are discussed.

Indexed as

Databases, Nucleic AcidGenetic VariationMicrosatellite RepeatsBiological Specimen BanksCoffeaEcosystemGenetic MarkersGenetic Markers

Identifiers

What OpenQuestion holds

Textmetadata
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.