Evidence map›Paper›PMID 27722803›Full record

ArticleGenetica2016

Genetic diversity and structure of Brazilian ginger germplasm (Zingiber officinale) revealed by AFLP markers.

Eleonora Zambrano Blanco, Miklos Maximiliano Bajay, Marcos Vinícius Bohrer Monteiro Siqueira, Maria Imaculada Zucchi, José Baldin Pinheiro

Abstract read
PubMed Publisher
In one paragraph

Article in Genetica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Pattern of Adaptive Divergence inPlants (Basel, Switzerland) · 2022
    Article
  2. Article
  3. Article
  4. 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.

Eleonora Zambrano Blanco"Luiz de Queiroz" College of Agriculture (ESALQ), Department of Genetics, University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil. ezambranob@yahoo.es.ORCID http://orcid.org/0000-0003-4988-9106
Miklos Maximiliano Bajay"Luiz de Queiroz" College of Agriculture (ESALQ), Department of Genetics, University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.
Marcos Vinícius Bohrer Monteiro SiqueiraLaboratories Center, Science and Environmental Technology, University of Sagrado Coração (USC), Bauru, SP, 17011-160, Brazil.
Maria Imaculada ZucchiSão Paulo Agency for Agribusiness Technology (APTA), Piracicaba, SP, 13400-970, Brazil.
José Baldin Pinheiro"Luiz de Queiroz" College of Agriculture (ESALQ), Department of Genetics, University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ginger is a vegetable with medicinal and culinary properties widely cultivated in the Southern and Southeastern Brazil. The knowledge of ginger species' genetic variability is essential to direct correctly future studies of conservation and genetic improvement, but in Brazil, little is known about this species' genetic variability. In this study, we analyzed the genetic diversity and structure of 55 Brazilian accessions and 6 Colombian accessions of ginger, using AFLP (Amplified Fragment Length Polymorphism) molecular markers. The molecular characterization was based on 13 primers combinations, which generated an average of 113.5 polymorphic loci. The genetic diversity estimates of Nei (Hj), Shannon-Weiner index (I) and an effective number of alleles (n

Indexed as

Amplified Fragment Length Polymorphism AnalysisGenetic VariationBreedingGenetic MarkersPhylogenyZingiber officinaleGenetic MarkersAFLP markerClusteringGenetic resourcesMolecular characterizationPopulation structureZingiber officinale

Identifiers

PMID27722803

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.