Evidence map›Paper›PMID 32111942›Full record

ArticleScientific reports2020

Characterization of Induced High Yielding Cowpea Mutant Lines Using Physiological, Biochemical and Molecular Markers.

Aamir Raina, Rafiul Amin Laskar, Younas Rasheed Tantray, Shahnawaz Khursheed, Mohd Rafiq Wani, Samiullah Khan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
14.4field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Phenotypic Screening and Marker-Assisted Validation of Sources ofInternational journal of molecular sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cowpea Constraints and Breeding in Europe.Plants (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Article
  14. ThePlants (Basel, Switzerland) · 2022
    Article
  15. Article
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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

6 authors at 3 institutions in 1 country.

Aamir RainaMutation Breeding Laboratory, Department of Botany, Aligarh Muslim University, Aligarh, India. aamir854@gmail.com.ORCID http://orcid.org/0000-0001-8810-7432
Rafiul Amin LaskarMutation Breeding Laboratory, Department of Botany, Aligarh Muslim University, Aligarh, India. rafihkd@gmail.com.
Younas Rasheed TantrayDepartment of Botany, Punjabi University, Patiala, India.
Shahnawaz KhursheedMutation Breeding Laboratory, Department of Botany, Aligarh Muslim University, Aligarh, India.
Mohd Rafiq WaniMutation Breeding Laboratory, Department of Botany, Aligarh Muslim University, Aligarh, India.
Samiullah KhanMutation Breeding Laboratory, Department of Botany, Aligarh Muslim University, Aligarh, India.
Aligarh Muslim University · INGovernment Medical College · INPunjabi University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cowpea, Vigna unguiculata (L.) Walp. is an important grain legume grown in the dry agro-ecologies of the tropics with considerably low yield due to lack of improved varieties, aggravated by prevalent narrow genetic base. Thus, induced mutagenesis was employed using sodium azide and gamma rays to increase genetic variability in cowpea genotypes that resulted in isolation of eleven high yielding mutant lines at the M

Indexed as

GenotypeMutagenesisMutationPolymorphism, GeneticPlant ProteinsVignaPlant Proteins

Identifiers

PMID32111942
PMCPMC7048850
OpenAlexW3010014401

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.