Evidence map›Paper›PMID 34982252›Full record

ArticleCurrent microbiology2022

Co-cultivation Approach to Decipher the Influence of Nitrogen-Fixing Cyanobacterium on Growth and N Uptake in Rice Crop.

Himani Priya, Dolly W Dhar, Ranjit Singh, Sudhir Kumar, Raju Dhandapani, Renu Pandey, Venkadasamy Govindasamy, Arun Kumar

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Article in Current microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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

8 authors.

Himani PriyaICAR-Indian Agricultural Research Institute, Gauria Karma, Hazaribagh, Jharkhand, 825405, India. himani20313@gmail.com.ORCID http://orcid.org/0000-0002-2467-155X
Dolly W DharSchool of Agricultural Sciences, Sharda University, Knowledge Park III, Greater Noida, 201306, India.
Ranjit SinghICAR-Indian Agricultural Research Institute, Gauria Karma, Hazaribagh, Jharkhand, 825405, India.
Sudhir KumarDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Raju DhandapaniDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Renu PandeyDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Venkadasamy GovindasamyDivision of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Arun KumarNational Phytotron Facility, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was performed to evaluate the efficacy of selected potential nitrogen-fixing cyanobacterial strain (Anabaena sp.), isolated from rhizospheric soil of rice plants on growth, pigments, N uptake, root architecture, and image-based phenotypic traits of rice crop using co-cultivation approach under controlled sand culture conditions. We studied the beneficial interaction of cyanobacterium to rice using sensor image-based Phenomics approach as well as conventional methods. Co-cultivation experiment revealed that inoculation with Anabaena sp. significantly improved plant growth, chlorophyll, leaf area, % nitrogen, and protein of rice by ~ 70%, ~ 22%, ~ 60%, and ~ 25% under 100% nitrogen input in comparison with un-inoculated control. Further, comparative evaluation revealed superior performance of Anabaena sp. at 100% and 75% N followed by 50% N input improving below-ground parameters as well as phenotypic traits as compared to control treatment. Hence, inoculation performed better with inorganic nitrogen input for overall growth of rice crop. Therefore, cyanobacterial strain can be used as an efficient bio-inoculant for sustainable rice production under integrated nutrient management.

Indexed as

CyanobacteriaOryzaNitrogenNitrogen FixationSoil MicrobiologyNitrogen

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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.