Evidence map›Paper›PMID 34392484›Full record

SynthesisEnvironmental science and pollution research international2022

Controlled release urea improves rice production and reduces environmental pollution: a research based on meta-analysis and machine learning.

Zewei Jiang, Shihong Yang, Xi Chen, Qingqing Pang, Yi Xu, Suting Qi, Wanqing Yu, Huidong Dai

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Global NiScience · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Zewei JiangCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Shihong YangCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China. ysh7731@hhu.edu.cn.
Xi ChenCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Qingqing PangNanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, People's Republic of China.
Yi XuCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Suting QiCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Wanqing YuCollege of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Huidong DaiUrban Water Scheduling and Information Management Department of Kunshan City, Kunshan, 215300, People's Republic of China.
Hohai University · CNNanjing Institute of Environmental Sciences · CN

Funding

National Key R&D Program of China 2018YFC1508303National Natural Science Foundation of China 51579070National Natural Science Foundation of China 51879076the Water Conservancy Science and Technology Project of Jiangsu Province 2018065Water Conservancy Science and Technology Project of Jiangxi Province 201921ZDKT06
6 · The paper itself

Abstract

To reveal the comprehensive impacts of controlled release urea (CRU) on rice production, nitrogen (N) loss, and greenhouse gas (GHG) emissions, a research based on global meta-analysis and machine learning (ML) was conducted. The results revealed that the CRU application instead of conventional fertilizer can increase rice yield, N use efficiency (NUE), and net benefits by 5.24%, 20.18%, and 9.30%, respectively, under the same amount of N. Furthermore, the emission of N

Indexed as

OryzaAgricultureCarbonDelayed-Action PreparationsEnvironmental PollutionFertilizersMachine LearningNitrogenNitrous OxideSoilUreaCarbonDelayed-Action PreparationsFertilizersNitrogenNitrous OxideSoilUreaControlled release ureaMachine learningN2O emissionNH3 volatilizationPaddy fields

Identifiers

PMID34392484
OpenAlexW3195563059

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.