Evidence map›Paper›PMID 33128382›Full record

ArticleJournal of applied genetics2021

A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.).

Saba Akram, Mian Abdur Rehman Arif, Amjad Hameed

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of applied genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 52 citations in OpenAlex.

  1. Integrated Screening Identifies Elite IndigenousLife (Basel, Switzerland) · 2026
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  19. A WheatInternational journal of molecular sciences · 2021
    Article
  20. 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

3 authors at 1 institution in 1 country.

Saba AkramNuclear Institute for Agriculture and Biology College. Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Jhang Road, Faisalabad, Pakistan.
Mian Abdur Rehman ArifNuclear Institute for Agriculture and Biology College. Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Jhang Road, Faisalabad, Pakistan. m.a.rehman.arif@gmail.com.ORCID http://orcid.org/0000-0002-8247-9558
Amjad HameedNuclear Institute for Agriculture and Biology College. Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Jhang Road, Faisalabad, Pakistan.
Pakistan Institute of Engineering and Applied Sciences · PK

Funding

International Foundation for Science C-5897-I
6 · The paper itself

Abstract

Wheat is a foremost food grain of Pakistan and occupies a vital position in agricultural policies of the country. Wheat demand will be increased by 60% by 2050 which is a serious concern to meet this demand. Conventional breeding approaches are not enough to meet the demand of growing human population. It is paramount to integrate underutilized genetic diversity into wheat gene pool through efficient and accurate breeding tools and technology. In this study, we present the genetic analysis of a 312 diverse pre-breeding lines using DArT-seq SNPs seeking to elucidate the genetic components of emergence percentage, heading time, plant height, lodging, thousand kernel weight, and yield (Yd) which resulted in detection of 201 significant (p value < 10

Indexed as

Genes, PlantPlant BreedingTriticumAllelesGenetic Association StudiesPhenotypePolymorphism, Single NucleotideQuantitative Trait LociAdaptabilityAssociation mappingD genomeSNPTriticum aestivumYield

Identifiers

PMID33128382
OpenAlexW3096982075

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.