Evidence map›Paper›PMID 35222455›Full record

ArticleFrontiers in plant science2021

Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat.

S Sheoran, S Jaiswal, N Raghav, R Sharma, Sabhyata, A Gaur, J Jaisri, Gitanjali Tandon, S Singh, P Sharma and 9 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. 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
  2. GWAS elucidated grain yield genetics in Indian spring wheat under diverse water conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. 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

19 authors.

S SheoranIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
S JaiswalIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
N RaghavIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
R SharmaIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
SabhyataIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
A GaurIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
J JaisriIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
Gitanjali TandonIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
S SinghIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
P SharmaIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
R SinghIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
M A IquebalIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
U B AngadiIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
A GuptaIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
G SinghIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
G P SinghIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.
A RaiIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
D KumarIndian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi, India.
R TiwariIndian Council of Agricultural Research-Indian Institute of Wheat and Barley Research, Karnal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spike fertility and associated traits are key factors in deciding the grain yield potential of wheat. Genome-wide association study (GWAS) interwoven with advanced post-GWAS analysis such as a genotype-phenotype network (geno-pheno network) for spike fertility, grain yield, and associated traits allow to identify of novel genomic regions and represents attractive targets for future marker-assisted wheat improvement programs. In this study, GWAS was performed on 200 diverse wheat genotypes using Breeders' 35K Axiom array that led to the identification of 255 significant marker-trait associations (MTAs) (

Indexed as

35KGWASMTAsspike fertilitywheatyield

Identifiers

PMID35222455
PMCPMC8873084

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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.