Evidence map›Paper›PMID 38973400›Full record

ArticleJournal of microbiology and biotechnology2024

Effects of Short-Term Tillage on Rhizosphere Soil Nitrogen Mineralization and Microbial Community Composition in Double-Cropping Rice Field.

Haiming Tang, Li Wen, Kaikai Cheng, Chao Li, Lihong Shi, Weiyan Li, Yong Guo, Xiaoping Xiao

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 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
–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

8 authors.

Haiming TangHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Li WenHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Kaikai ChengHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Chao LiHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Lihong ShiHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Weiyan LiHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Yong GuoHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.
Xiaoping XiaoHunan Soil and Fertilizer Institute, Changsha 410125, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil extracellular enzyme plays a vital role in changing soil nitrogen (N) mineralization of rice field. However, the effects of soil extracellular enzyme activities (EEA) and microbial community composition response to N mineralization of rice field under short-term tillage treatment needed to be further explored. In this study, we investigated the impact of short-term (8-year) tillage practices on rhizosphere soil N transformation rate, soil enzyme activities, soil microbial community structure, and the N mineralization function gene abundances in double-cropping rice field in southern China. The experiment consisted of four tillage treatments: rotary tillage with crop straw input (RT), conventional tillage with crop straw input (CT), no-tillage with crop straw retention (NT), and rotary tillage with all crop straw removed as a control (RTO). The results indicated that the rhizosphere soil N transformation rate in paddy field under the NT and RTO treatments was significantly decreased compared to RT and CT treatments. In comparison to the NT and RTO treatments, soil protease, urease,

Indexed as

AgricultureBacteriaMicrobiotaNitrogenOryzaRhizosphereSoilSoil MicrobiologyChinaNitrogenSoilN fertilization ratepaddy fieldRicesoil microbial diversitytillage

Identifiers

PMID38973400
PMCPMC11294655

What OpenQuestion holds

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LicenceCC BY
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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.