Evidence map›Paper›PMID 38321197›Full record

ArticleEnvironmental geochemistry and health2024

Rice-based integrated farming system improves the soil quality, bacterial community structure and system productivity under sub-humid tropical condition.

Prafulla Kumar Nayak, A K Nayak, B B Panda, A Senapati, P Panneerselvam, A Kumar, R Tripathi, A Poonam, M Shahid, S D Mohapatra and 2 more

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Article in Environmental geochemistry and health, 2024. 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
8.2field-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

1 citing paper in PubMed, 8 citations in OpenAlex.

  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

12 authors at 1 institution in 1 country.

Prafulla Kumar NayakICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India. nayakpra@yahoo.com.
A K NayakICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
B B PandaICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
A SenapatiICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
P PanneerselvamICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
A KumarICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
R TripathiICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
A PoonamICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
M ShahidICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
S D MohapatraICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Megha KavirajICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Upendra KumarICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India. ukumarmb@gmail.com.
Central Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice-based integrated farming system improves the productivity and profitability by recycling resources efficiently. In the sub-humid tropics, rice production without sufficient nutrient replenishment often leads to soil health and fertility degradation. There has been very limited research on soil health and fertility after adopting a multi-enterprising rice-based integrated farming system (IFS), notably in the rice-fish-livestock and agroforestry system, when compared to a conventional farming system (CS). Therefore, the present study analyzed the dynamics of soil properties, soil bacterial community structure and their possible interaction mechanisms, as well as their effect on regulating soil quality and production in IFS, IFSw (water stagnant area of IFS) and CS. The results indicated that soil nutrient dynamics, bacterial diversity indices (Shannon index, Simpson index, Chao 1, ACE and Fisher index) and system productivity were higher in IFSw and IFS compared to CS. Moreover, relative operational taxonomic units of dominant bacterial genera (Chloroflexi, Acidobacteria, Verrucomicrobia, Planctomycetes, Cyanobacteria, Crenarchaeota and Gemmatimonadetes) were also higher in IFSw and IFS compared to CS. Mean soil quality index (SQI) was highest in IFSw (0.780 ± 0.201) followed by IFS (0.770 ± 0.080) and CS (0.595 ± 0.244). Moreover, rice equivalent yields (REY) and rice yields were well correlated with the higher levels of soil biological indices (SQI

Indexed as

OryzaSoilAgricultureBacteriaSoil MicrobiologyTropical ClimateSoilIFSRiceSoil bacterial communitySoil quality indexSystem productivity

Identifiers

PMID38321197
OpenAlexW4391609235

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.