Evidence map›Paper›PMID 37143878›Full record

ArticleFrontiers in plant science2023

Multi-criteria assessment to screen climate smart rice establishment techniques in coastal rice production system of India.

Kiran Kumar Mohapatra, A K Nayak, R K Patra, Rahul Tripathi, Chinmaya Kumar Swain, K C Moharana, Anjani Kumar, Mohammad Shahid, Sangita Mohanty, Saheed Garnaik and 4 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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

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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Kiran Kumar MohapatraIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
A K NayakIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
R K PatraOdisha University of Agriculture and Technology, Odisha, India.
Rahul TripathiIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Chinmaya Kumar SwainIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
K C MoharanaIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Anjani KumarIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Mohammad ShahidIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Sangita MohantyIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Saheed GarnaikOdisha University of Agriculture and Technology, Odisha, India.
Hari Sankar NayakCornell University, Ithaca, NY, United States.
Simran MohapatraIndian Council of Agricultural Research (ICAR) -National Rice Research Institute, Odisha, India.
Udaya Sekhar NagothuNorwegian Institute of Bioeconomy Research, Oslo, Norway.
M TesfaiNorwegian Institute of Bioeconomy Research, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Conventional rice production techniques are less economical and more vulnerable to sustainable utilization of farm resources as well as significantly contributed GHGs to atmosphere. Methods: In order to assess the best rice production system for coastal areas, six rice production techniques were evaluated, including SRI-AWD (system of rice intensification with alternate wetting and drying (AWD)), DSR-CF (direct seeded rice with continuous flooding (CF)), DSR-AWD (direct seeded rice with AWD), TPR-CF (transplanted rice with CF), TPR-AWD (transplanted rice with AWD), and FPR-CF (farmer practice with CF). The performance of these technologies was assessed using indicators such as rice productivity, energy balance, GWP (global warming potential), soil health indicators, and profitability. Finally, using these indicators, a climate smartness index (CSI) was calculated. Results and discussion: Rice grown with SRI-AWD method had 54.8 % higher CSI over FPR-CF, and also give 24.5 to 28.3% higher CSI for DSR and TPR as well. There evaluations based on the climate smartness index can provide cleaner and more sustainable rice production and can be used as guiding principle for policy makers.

Indexed as

climate smart indexenergy budgetglobal warming potentialnutrient use efficiencyrice production techniques

Identifiers

PMID37143878
PMCPMC10151676

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.