Evidence map›Paper›PMID 34106390›Full record

ArticleTransgenic research2021

Data challenges for future plant gene editing: expert opinion.

Rim Lassoued, Diego M Macall, Stuart J Smyth, Peter W B Phillips, Hayley Hesseln

Abstract read
In one paragraph

Article in Transgenic research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Evaluating UAV-based phenotyping strategies forFrontiers in plant science · 2026
    Article
  4. Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  5. 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

5 authors.

Rim LassouedDepartment of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada. rim.lassoued@usask.ca.ORCID 0000-0002-7435-9935
Diego M MacallDepartment of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada.ORCID 0000-0002-9436-8740
Stuart J SmythDepartment of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada.ORCID 0000-0003-0837-8617
Peter W B PhillipsThe Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, 101 Diefenbaker Place, Saskatoon, SK, S7N 5B8, Canada.
Hayley HesselnDepartment of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada.ORCID 0000-0002-3155-612X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural data in its multiple forms are ubiquitous. With progress in crop and input monitoring systems and price reductions over the past decade, data are now being captured at an unprecedented rate. Once compiled, organized and analyzed, these data are capable of providing valuable insights into much of the agri-food supply chain. While much of the focus is on precision farming, agricultural data applications coupled with gene editing tools hold the potential to enhance crop performance and global food security. Yet, digitization of agriculture is a double-edged sword as it comes with inherent security and privacy quandaries. Infrastructure, policies, and practices to better harness the value of data are still lacking. This article reports expert opinions about the potential challenges regarding the use of data relevant to the development and approval of new crop traits as well as mechanisms employed to manage and protect data. While data could be of great value, issues of intellectual property and accessibility surround many of its forms. The key finding of this research is that surveyed experts optimistically report that by 2030, the synergy of computing power and genome editing could have profound effects on the global agri-food system, but that the European Union may not participate fully in this transformation.

Indexed as

Gene EditingAgricultureFood SupplyGenome, PlantPlantsBig dataData managementFood securityHarmonizationInnovationPrivacy

Identifiers

PMID34106390
PMCPMC8580900

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.