Evidence map›Paper›PMID 32202134›Full record

ReviewBioTechniques2020

Improving RNAi efficiency for pest control in crop species.

Shuo Yan, Binyuan Ren, Bo Zeng, Jie Shen

Open access · goldAbstract readReview
In one paragraph

Review in BioTechniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 147 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Insects · 2026
    Article
  7. Review
  8. Review
  9. RNAi ofInsects · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Nanocarrier-mediated RNAi ofFrontiers in plant science · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

4 authors at 2 institutions in 1 country.

Shuo YanDepartment of Entomology, MOA Key Lab of Pest Monitoring & Green Management, College of Plant Protection, China Agricultural University, Beijing, People's Republic China.
Binyuan RenNational Agricultural Technology Extension & Service Center, Beijing, People's Republic China.
Bo ZengNational Agricultural Technology Extension & Service Center, Beijing, People's Republic China.
Jie ShenDepartment of Entomology, MOA Key Lab of Pest Monitoring & Green Management, College of Plant Protection, China Agricultural University, Beijing, People's Republic China.
Center for Agricultural Research · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of RNAi promotes the development of novel approaches toward plant protection in a sustainable way. Genetically modified crops expressing dsRNA have been developed as commercial products with great potential in insect pest management. Alternatively, some nontransformative approaches, including foliar spray, irrigation and trunk injection, are favorable in actual utilization. In this review, we summarize the recent progress and successful cases of RNAi-based pest management strategy, explore essential implications and possibilities to improve RNAi efficiency by delivery of dsRNA through transformative and nontransformative approaches, and highlight the remaining challenges and important issues related to the application of this technology.

Indexed as

RNA InterferenceCrops, AgriculturalPest ControlPlants, Genetically ModifieddsRNA deliveryfoliar spraynanoparticlenontransformative RNAi productRNAi-based pest managementRNAi efficiencytransformative RNAi producttransplastomic crop

Identifiers

PMID32202134
PMCPMC7252490
OpenAlexW3012627307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.