Evidence map›Paper›PMID 31135961›Full record

ReviewThe New phytologist2020

Genetic modification to improve disease resistance in crops.

H Peter van Esse, T Lynne Reuber, Dieuwertje van der Does

Abstract readReview
In one paragraph

Review in The New phytologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Plant Biotic Stress: Tools and Techniques for Crop Protection.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Integrating multi-omics and machine learning for disease resistance prediction in legumes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  20. Article

43 more citing papers are in PubMed but not listed here.

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

3 authors.

H Peter van Esse2Blades Foundation, 1630 Chicago Avenue, Evanston, IL 60201, USA.ORCID 0000-0002-3667-060X
T Lynne Reuber2Blades Foundation, 1630 Chicago Avenue, Evanston, IL 60201, USA.ORCID 0000-0001-7806-2437
Dieuwertje van der Does2Blades Foundation, 1630 Chicago Avenue, Evanston, IL 60201, USA.ORCID 0000-0003-4960-6516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant pathogens are a significant challenge in agriculture despite our best efforts to combat them. One of the most effective and sustainable ways to manage plant pathogens is to use genetic modification (GM) and genome editing, expanding the breeder's toolkit. For use in the field, these solutions must be efficacious, with no negative effect on plant agronomy, and deployed thoughtfully. They must also not introduce a potential allergen or toxin. Expensive regulation of biotech crops is prohibitive for local solutions. With 11-30% average global yield losses and greater local impacts, tackling plant pathogens is an ethical imperative. We need to increase world food production by at least 60% using the same amount of land, by 2050. The time to act is now and we cannot afford to ignore the new solutions that GM provides to manage plant pathogens.

Indexed as

Gene EditingAgricultureBiotechnologyCrops, AgriculturalDisease ResistanceFood SecurityPlant DiseasesPlantsPlants, Genetically Modifiedbiotechnologyfood securitygenetic modificationplant diseaseplant pathogensresistance

Identifiers

PMID31135961
PMCPMC6916320

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.