Evidence map›Paper›PMID 33123454›Full record

Article3 Biotech2020

Genome-wide association mapping revealed numerous novel genomic loci for grain nutritional and yield-related traits in rice (

Parmeshwar K Sahu, Suvendu Mondal, Richa Sao, Gautam Vishwakarma, Vikash Kumar, B K Das, Deepak Sharma

Open access · bronzeAbstract read
In one paragraph

Article in 3 Biotech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Parmeshwar K SahuDepartment of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India.ORCID 0000-0003-2199-1790
Suvendu MondalNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India.ORCID 0000-0001-7638-140X
Richa SaoDepartment of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India.
Gautam VishwakarmaNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India.
Vikash KumarNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India.
B K DasNuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India.
Deepak SharmaDepartment of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India.
Bhabha Atomic Research Centre · INIndira Gandhi Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A core set of 190 rice landraces were used to decipher the genetic structure and to discover the chromosomal regions containing QTLs, affecting the grain micro-nutrients, fatty acids, and yield-related traits by using 148 molecular markers in this study. Landraces were categorized into three sub-groups based on population stratification study and followed by neighbor-joining tree and principal component analysis. Analysis of variance revealed abundant variations among the landraces for studied traits with less influence of environmental factors. Genome Wide Association Studies (GWAS) revealed 22 significant and consistent QTLs through marker trait association (MTAs) for 12 traits based on 2 years and pooled analysis. Out of 22 QTLs, three have been reported earlier while 19 QTLs are novel. Interestingly, 13 QTLs out of 22 were explained more than 10% phenotypic variance. Association of RM1148 and RM205 with Days to 50% flowering was comparable with flowering control genes

Indexed as

Association mappingFatty acidsMicronutrientsQtlsRice landraces

Identifiers

PMID33123454
PMCPMC7585584
OpenAlexW3094170807

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.