Evidence map›Paper›PMID 28955604›Full record

Article3 Biotech2017

Genetic diversity and population structure of

Aejaz Ahmad Dar, Reetika Mahajan, Padma Lay, Susheel Sharma

Abstract read
In one paragraph

Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Aejaz Ahmad DarSchool of Biotechnology, Sher-e-Kashmir University of Sciences and Technology of Jammu (SKUAST-J), Chatha, Jammu, 180009 Jammu and Kashmir India.
Reetika MahajanSchool of Biotechnology, Sher-e-Kashmir University of Sciences and Technology of Jammu (SKUAST-J), Chatha, Jammu, 180009 Jammu and Kashmir India.
Padma LaySchool of Biotechnology, Sher-e-Kashmir University of Sciences and Technology of Jammu (SKUAST-J), Chatha, Jammu, 180009 Jammu and Kashmir India.
Susheel SharmaSchool of Biotechnology, Sher-e-Kashmir University of Sciences and Technology of Jammu (SKUAST-J), Chatha, Jammu, 180009 Jammu and Kashmir India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic variation, marker attributes and population structure was assessed in 104 genotypes of cucumber using 23 SSR primer pairs. The total number of alleles produced was 67 with an average of 2.91 per locus. Allele frequency was in the range of 0.215 to 0.561 with mean value of 0.403, polymorphic information content ranged from 0.158 to 0.495 with the mean of 0.333, marker index ranged from 0.316 to 1.54 with an average value of 0.954 and resolving power ranged from 0.346 to 2.692 with mean of 1.392. The maximum allele frequency was reported with primer SSR65, whereas the maximum value of polymorphic information content and resolving power was found with SSR61 and the maximum value of marker index was reported with SSR60. Jaccard's similarity coefficient ranged from 0.07 to 0.897 with maximum similarity between genotype G40 and G41 and minimum between G16 and G20, and G16 and G100. Clustering and PCA grouped the genotypes in two clusters, and majority of them were found in cluster B. The population structure analysis also showed two major populations, in which 47 genotypes were found in population 1, 39 genotypes in population 2, whereas remaining 18 genotypes were admixtures. The study provides researchers a valuable information for genotype identification, gene mapping, molecular breeding, and future exploration of cucumber germplasm in India and other major cucumber growing countries.

Indexed as

Cucumis sativus L.Genetic diversityPCAPICPopulation structureSSR

Identifiers

PMID28955604
PMCPMC5595724

What OpenQuestion holds

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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.