Evidence map›Paper›PMID 34992638›Full record

ArticleFrontiers in genetics2021

Meta-QTL Analysis in Rice and Cross-Genome Talk of the Genomic Regions Controlling Nitrogen Use Efficiency in Cereal Crops Revealing Phylogenetic Relationship.

Nitika Sandhu, Gomsie Pruthi, Om Prakash Raigar, Mohini Prabha Singh, Kanika Phagna, Aman Kumar, Mehak Sethi, Jasneet Singh, Pooja Ankush Ade, Dinesh Kumar Saini

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 8 pooled it
7.6field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 8 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  9. Natural genetic variations underlying iron and zinc uptake efficiency in rice under direct-seeded cultivation conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  17. Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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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

10 authors at 2 institutions in 1 country.

Nitika SandhuPunjab Agricultural University, Ludhiana, India.
Gomsie PruthiPunjab Agricultural University, Ludhiana, India.
Om Prakash RaigarPunjab Agricultural University, Ludhiana, India.
Mohini Prabha SinghPunjab Agricultural University, Ludhiana, India.
Kanika PhagnaIndian Institute of Science Education and Research, Berhampur, India.
Aman KumarPunjab Agricultural University, Ludhiana, India.
Mehak SethiPunjab Agricultural University, Ludhiana, India.
Jasneet SinghPunjab Agricultural University, Ludhiana, India.
Pooja Ankush AdePunjab Agricultural University, Ludhiana, India.
Dinesh Kumar SainiPunjab Agricultural University, Ludhiana, India.
Punjab Agricultural University · INIndian Institute of Science Education and Research Berhampur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenal increase in the use of nitrogenous fertilizers coupled with poor nitrogen use efficiency is among the most important threats to the environment, economic, and social health. During the last 2 decades, a number of genomic regions associated with nitrogen use efficiency (NUE) and related traits have been reported by different research groups, but none of the stable and major effect QTL have been utilized in the marker-assisted introgression/pyramiding program. Compiling the data available in the literature could be very useful in identifying stable and major effect genomic regions associated with the root and NUE-related trait improving the rice grain yield. In the present study, we performed meta-QTL analysis on 1,330 QTL from 29 studies published in the past 2 decades. A total of 76 MQTL with a stable effect over different genetic backgrounds and environments were identified. The significant reduction in the confidence interval of the MQTL compared to the initial QTL resulted in the identification of annotated and putative candidate genes related to the traits considered in the present study. A hot spot region associated with correlated traits on chr 1, 4, and 8 and candidate genes associated with nitrate transporters, nitrogen content, and ammonium uptake on chromosomes 2, 4, 6, and 8 have been identified. The identified MQTL, putative candidate genes, and their orthologues were validated on our previous studies conducted on rice and wheat. The research-based interventions such as improving nitrogen use efficiency

Indexed as

candidate genegrain yieldmeta-QTLNUEorthologuericeroot

Identifiers

PMID34992638
PMCPMC8724540
OpenAlexW4200119402

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.