Evidence map›Paper›PMID 40275103›Full record

ArticleNature food2025

Agricultural machinery could contribute 20% of total carbon and air pollutant emissions by 2050 and compromise carbon neutrality targets in China.

Minghao Zhuang, Xu Wang, Yi Yang, Yifei Wu, Ligang Wang, Xi Lu

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Minghao Zhuang *State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, Beijing, China. zhuangminghao@cau.edu.cn.ORCID http://orcid.org/0000-0003-0049-2570
Xu Wang *State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, Beijing, China.
Yi YangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China. yi.yang@cqu.edu.cn.ORCID http://orcid.org/0000-0002-0600-602X
Yifei WuState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, Beijing, China.
Ligang WangState Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. wangligang@caas.cn.ORCID http://orcid.org/0009-0009-1607-0226
Xi LuState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, China. xilu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-5063-3776

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32171564National Natural Science Foundation of China (National Science Foundation of China) 72025401National Natural Science Foundation of China (National Science Foundation of China) 72174197
6 · The paper itself

Abstract

Agricultural mechanization has benefitted food security in China, but carbon dioxide (CO

Indexed as

AgricultureAir PollutantsAir PollutionCarbonCarbon DioxideChinaParticulate MatterAir PollutantsCarbonCarbon DioxideParticulate Matter

Identifiers

PMID40275103

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.