Evidence map›Paper›PMID 31134105›Full record

ArticleFrontiers in plant science2019

Uncovering Genomic Regions Associated With 36 Agro-Morphological Traits in Indian Spring Wheat Using GWAS.

Sonia Sheoran, Sarika Jaiswal, Deepender Kumar, Nishu Raghav, Ruchika Sharma, Sushma Pawar, Surinder Paul, M A Iquebal, Akanksha Jaiswar, Pradeep Sharma and 9 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

19 authors.

Sonia SheoranICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Sarika JaiswalICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Deepender KumarICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Nishu RaghavICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Ruchika SharmaICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Sushma PawarICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Surinder PaulICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
M A IquebalICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Akanksha JaiswarICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Pradeep SharmaICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Rajender SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
C P SinghLokbharti-Sanosara Centre, Bhavnagar, India.
Arun GuptaICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Neeraj KumarICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
U B AngadiICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Anil RaiICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
G P SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Dinesh KumarICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Ratan TiwariICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat genetic improvement by integration of advanced genomic technologies is one way of improving productivity. To facilitate the breeding of economically important traits in wheat, SNP loci and underlying candidate genes associated with the 36 agro-morphological traits were studied in a diverse panel of 404 genotypes. By using Breeders' 35K Axiom array in a comprehensive genome-wide association study covering 4364.79 cM of the wheat genome and applying a compressed mixed linear model, a total of 146 SNPs (-log

Indexed as

35K Axiom arrayagro-morphologicalGWASSNPwheat

Identifiers

PMID31134105
PMCPMC6511880

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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.