Evidence map›Paper›PMID 39397365›Full record

ReviewPlant communications2025

Breeding herbicide-resistant rice using CRISPR-Cas gene editing and other technologies.

Qiyu Luo, Yao-Guang Liu

Abstract readReview
In one paragraph

Review in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Mechanism ofPlants (Basel, Switzerland) · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Enhanced Genome Editing Activity with Novel Chimeric ScCas9 Variants in Rice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. 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

2 authors.

Qiyu LuoGuangdong Laboratory for Lingnan Modern Agriculture, The State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China.
Yao-Guang LiuGuangdong Laboratory for Lingnan Modern Agriculture, The State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China. Electronic address: ygliu@scau.edu.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

The emergence of herbicide-resistant weeds in crop fields and the extensive use of herbicides have led to a decrease in rice (Oryza sativa) yields and an increase in production costs. To address these challenges, researchers have focused on the discovery of new germplasm resources with herbicide resistance. The most promising candidate genes have been functionally studied and applied in rice breeding. Here, we review recent progress in the breeding of herbicide-resistant rice. We provide examples of various techniques used to breed herbicide-resistant rice, such as physical and chemical mutagenesis, genetic transformation, and CRISPR-Cas-mediated gene editing. We highlight factors involved in the breeding of herbicide-resistant rice, including target genes, rice varieties, degrees of herbicide resistance, and research tools. Finally, we suggest methods for breeding herbicide-resistant rice that could potentially be used for weed management in direct-seeding farm systems.

Indexed as

CRISPR-Cas SystemsGene EditingHerbicide ResistanceHerbicidesOryzaPlant BreedingPlants, Genetically ModifiedHerbicidesCRISPR-Casgene-editing technologiesherbicide resistancemechanisms of plant resistancerice breeding

Identifiers

PMID39397365
PMCPMC11897542

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.