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Data challenges for future plant gene editing: expert opinion
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 int...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580900/ https://www.ncbi.nlm.nih.gov/pubmed/34106390 http://dx.doi.org/10.1007/s11248-021-00264-9 |
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author | Lassoued, Rim Macall, Diego M. Smyth, Stuart J. Phillips, Peter W. B. Hesseln, Hayley |
author_facet | Lassoued, Rim Macall, Diego M. Smyth, Stuart J. Phillips, Peter W. B. Hesseln, Hayley |
author_sort | Lassoued, Rim |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8580900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-85809002021-11-15 Data challenges for future plant gene editing: expert opinion Lassoued, Rim Macall, Diego M. Smyth, Stuart J. Phillips, Peter W. B. Hesseln, Hayley Transgenic Res Original Paper 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. Springer International Publishing 2021-06-09 2021 /pmc/articles/PMC8580900/ /pubmed/34106390 http://dx.doi.org/10.1007/s11248-021-00264-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Lassoued, Rim Macall, Diego M. Smyth, Stuart J. Phillips, Peter W. B. Hesseln, Hayley Data challenges for future plant gene editing: expert opinion |
title | Data challenges for future plant gene editing: expert opinion |
title_full | Data challenges for future plant gene editing: expert opinion |
title_fullStr | Data challenges for future plant gene editing: expert opinion |
title_full_unstemmed | Data challenges for future plant gene editing: expert opinion |
title_short | Data challenges for future plant gene editing: expert opinion |
title_sort | data challenges for future plant gene editing: expert opinion |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580900/ https://www.ncbi.nlm.nih.gov/pubmed/34106390 http://dx.doi.org/10.1007/s11248-021-00264-9 |
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