Evidence map›Paper›PMID 30325668›Full record

ReviewBiopreservation and biobanking2018

A Case of Need: Linking Traits to Genebank Accessions.

Noelle L Anglin, Ahmed Amri, Zakaria Kehel, Dave Ellis

Open access · hybridAbstract readReview
In one paragraph

Review in Biopreservation and biobanking, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

14 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Harnessing historical genebank data to accelerate pea breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  13. SNP Markers and Evaluation of Duplicate Holdings ofPlants (Basel, Switzerland) · 2020
    Article
  14. Review
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 at 2 institutions in 2 countries.

Noelle L Anglin1 CIP-International Potato Center , Lima, Peru .
Ahmed Amri2 ICARDA-International Center for Agricultural Research in the Dry Areas , Rabat, Morocco .
Zakaria Kehel2 ICARDA-International Center for Agricultural Research in the Dry Areas , Rabat, Morocco .
Dave Ellis1 CIP-International Potato Center , Lima, Peru .
International Center for Agricultural Research in the Dry Areas · SYInternational Potato Center · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genebanks are responsible for collecting, maintaining, characterizing, documenting, and distributing plant genetic resources for research, education, and breeding purposes. The rationale for requests of plant materials varies highly from areas of anthropology, social science, small-holder farmers, the commercial sector, rehabilitation of degraded systems, all the way to crop improvement and basic research. Matching "the right" accessions to a particular request is not always a straightforward process especially when genetic resource collections are large and the user does not already know which accession or even which species they want to study. Some requestors have limited knowledge of the crop; therefore, they do not know where to begin and thus, initiate the search by consultation with crop curators to help direct their request to the most suitable germplasm. One way to enhance the use of genebank material and aid in the selection of genetic resources is to have thoroughly cataloged agronomic, biochemical, genomic, and other traits linked to genebank accessions. In general, traits of importance to most users include genotypes that thrive under various biotic and abiotic stresses, morphological traits (color, shape, size of fruits), plant architecture, disease resistance, nutrient content, yield, and crop specific quality traits. In this review, we discuss methods for linking traits to genebank accessions, examples of linked traits, and some of the complexities involved, while reinforcing why it is critical to have well characterized accessions with clear trait data publicly available.

Indexed as

AlgorithmsSeed BankGenetic VariationGenome-Wide Association StudyGenotypePlant DevelopmentPlantsStress, PhysiologicalFIGSgenebanksgenetic resourcesGWASmolecular markerstrait association

Identifiers

PMID30325668
PMCPMC6204556
OpenAlexW2897187110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.