Evidence map›Paper›PMID 40539315›Full record

ReviewGM crops & food2025

Initiating the commercialization of genetically modified staple crops in China: domestic biotechnological advancements, regulatory milestones, and governance frameworks.

Tianheng Mou, Qiuchi Song, Yonghong Liu, Jun Song

Erratum issuedAbstract readReview
In one paragraph

Review in GM crops & food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. CRISPR-Cas Gene Editing Technology in Potato.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Tianheng MouDepartment of Sociology, University of Warwick Sociology, Coventry, UK.
Qiuchi SongDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD USA.
Yonghong LiuInstitute of Agricultural Quality Standards and Testing Technology, Sichuan Academy of Agricultural Science, Chengdu, PR China.
Jun SongInstitute of Agricultural Quality Standards and Testing Technology, Sichuan Academy of Agricultural Science, Chengdu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, China's approach to genetically modified (GM) staple crops has been cautious. However, in 2021, China launched its first pilot program for the commercial cultivation of GM food crops and subsequently expanded their cultivation. Previously, the only GM plants cultivated in China were insect-resistant cotton and virus-resistant papaya. The regulatory and policy shifts, from initial research and cautious development to accelerated commercialization, led to significant changes in China's safety-related regulatory framework for genetically modified organism (GMOs). Here, China's progress in GMO research and commercialization over the past three decades is comprehensively analyzed. This review traces the evolution of core regulations governing GMO safety, summarizes the Chinese model of GMO safety governance, and highlights the remaining challenges as commercialization progresses. The goal was to present the international community with a GMO safety governance model reflecting China's characteristics and practices, offering a Chinese solution to balancing GMO commercial adoption with ecological preservation.

Indexed as

BiotechnologyCrops, AgriculturalPlants, Genetically ModifiedChinaFood, Genetically ModifiedChallenges and solutionsChinese governance modelcommercialization of GM technologyregulatory evolution

Identifiers

PMID40539315
PMCPMC12218729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.