Evidence map›Paper›PMID 42432047›Full record

ArticleNature food2026

Integrated policies could raise China's soybean self-sufficiency and ease global land-use pressure.

Fei Lun, Jing Sun, Yi Zhou, Qiyuan Hu, Lai Gan, Tianbao Zhang, Sijia Wang, Josep Peñuelas, Jordi Sardans, Miao Lu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2026. 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.

Fei LunCollege of Land Science and Technology, China Agricultural University, Beijing, China.
Jing SunState 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. sunjing@caas.cn.ORCID http://orcid.org/0000-0002-4638-8544
Yi ZhouSchool of Geographical Sciences, Hunan Normal University, Changsha, China.
Qiyuan HuCollege of Land Science and Technology, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-7020-8841
Lai GanCollege of Land Science and Technology, China Agricultural University, Beijing, China.
Tianbao ZhangCollege of Land Science and Technology, China Agricultural University, Beijing, China.
Sijia WangCollege of Land Science and Technology, China Agricultural University, Beijing, China.
Josep PeñuelasCREAF, Cerdanyola del Valles, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Jordi SardansCREAF, Cerdanyola del Valles, Spain.ORCID http://orcid.org/0000-0003-2478-0219
Miao LuState 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.
Peng YangState 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.ORCID http://orcid.org/0000-0002-7999-9763
Danfeng SunCollege of Land Science and Technology, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-0679-7340
Jianguo LiuCenter for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0001-6344-0087
Wenbin WuState 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. wuwenbin@caas.cn.ORCID http://orcid.org/0009-0006-7273-0741

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41801202National Natural Science Foundation of China (National Science Foundation of China) 42271276
6 · The paper itself

Abstract

Growing demand for animal-sourced foods is intensifying global reliance on soybeans, with China, the largest consumer and a low self-sufficiency rate (SSR) country, driving global largest imports and associated environmental spillover. To improve its SSR, China has implemented policies including rehabilitating salt-affected land, approving genetically modified soybeans and promoting healthy dietary transition. Here we evaluated these interventions using a scenario-based framework benchmarked against a no-policy baseline reconstructed soybean demand. China's SSR declined from full self-sufficiency in 1961 to 17% by 2022 and is projected to decline to 12% by 2050 without intervention. Each 10% implementation of salt-affected land and genetically modified soybeans alone could increase soybean SSR by 1.4% and 1.0%, whereas a 50% healthy dietary implementation alone could raise to 17%. Although individual policies yield modest improvements, their combined implementation could increase SSR to 74% by 2030 and 80% by 2050. This shift could free soybean sufficient to feed 1.89 billion additional people globally while avoiding cropland expansion in tropical frontiers, enabling reforestation and carbon sequestration.

Indexed as

AgricultureConservation of Natural ResourcesFood SupplyGlycine maxChinaHumansPlants, Genetically Modified

Identifiers

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.