Evidence map›Paper›PMID 32824916›Full record

ReviewPlants (Basel, Switzerland)2020

Interactive Role of Silicon and Plant-Rhizobacteria Mitigating Abiotic Stresses: A New Approach for Sustainable Agriculture and Climate Change.

Krishan K Verma, Xiu-Peng Song, Dong-Mei Li, Munna Singh, Vishnu D Rajput, Mukesh Kumar Malviya, Tatiana Minkina, Rajesh Kumar Singh, Pratiksha Singh, Yang-Rui Li

Open access · goldAbstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.2field-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

18 citing papers in PubMed, 70 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

10 authors at 3 institutions in 3 countries.

Krishan K VermaKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.ORCID 0000-0002-5501-7905
Xiu-Peng SongKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Dong-Mei LiKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Munna SinghDepartment of Botany, University of Lucknow, Lucknow 226007, India.
Vishnu D RajputAcademy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don 344006, Russia.ORCID 0000-0002-6802-4805
Mukesh Kumar MalviyaKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Tatiana MinkinaAcademy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don 344006, Russia.ORCID 0000-0003-3022-0883
Rajesh Kumar SinghKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.ORCID 0000-0003-0937-1847
Pratiksha SinghKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.ORCID 0000-0003-1527-1500
Yang-Rui LiKey Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi Key Laboratory of Sugarcane Genetic Improvement/Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.ORCID 0000-0002-7559-9244
Guangxi Academy of Agricultural Science · CNSouthern Federal University · RUUniversity of Lucknow · IN

Funding

Yang-Rui Li Guangxi R and D Program Fund, grant number GK17195100, Fund for Guangxi Innovation Teams of Modern Agriculture Technology, grant number gjnytxgxcxtd-03-01, and Fund of Guangxi Academy of Agricultural Sciences, grant number 2015YT02.
6 · The paper itself

Abstract

Abiotic stresses are the major constraints in agricultural crop production across the globe. The use of some plant-microbe interactions are established as an environment friendly way of enhancing crop productivity, and improving plant development and tolerance to abiotic stresses by direct or indirect mechanisms. Silicon (Si) can also stimulate plant growth and mitigate environmental stresses, and it is not detrimental to plants and is devoid of environmental contamination even if applied in excess quantity. In the present review, we elaborate the interactive application of Si and plant growth promoting rhizobacteria (PGPRs) as an ecologically sound practice to increase the plant growth rate in unfavorable situations, in the presence of abiotic stresses. Experiments investigating the combined use of Si and PGPRs on plants to cope with abiotic stresses can be helpful in the future for agricultural sustainability.

Indexed as

abiotic stressesmitigationPGPRsplant growth promotionplant hormonessilicon

Identifiers

PMID32824916
PMCPMC7569970
OpenAlexW3067529098

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.