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Data challenges for future plant gene editing: expert opinion.
Rim Lassoued1, Diego M Macall2, Stuart J Smyth2
1Department of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada. rim.lassoued@usask.ca.
Agricultural data and gene editing can boost food security by 2030. However, challenges in data management, privacy, and intellectual property may hinder widespread adoption, especially in the European Union.
Area of Science:
- Agricultural Science and Technology
- Biotechnology and Genomics
- Data Science and Informatics
Background:
- The rapid digitization of agriculture generates vast amounts of data from crop and input monitoring systems.
- These agricultural data offer valuable insights for the agri-food supply chain, with potential applications in precision farming.
- Gene editing technologies, combined with data analytics, present opportunities to improve crop performance and global food security.
Purpose of the Study:
- To report expert opinions on the challenges and opportunities of using agricultural data for developing and approving new crop traits.
- To explore mechanisms for managing and protecting agricultural data, addressing concerns about intellectual property and accessibility.
- To assess the projected impact of computing power and genome editing on the global agri-food system by 2030.
Main Methods:
- Expert opinion survey on agricultural data utilization, gene editing, and future trends.
- Analysis of challenges related to data security, privacy, intellectual property, and accessibility.
- Forecasting the potential effects of technological synergy on the agri-food sector.
Main Results:
- Experts are optimistic that by 2030, the combination of computing power and genome editing will significantly impact the global agri-food system.
- Significant challenges exist regarding data infrastructure, policies, security, privacy, intellectual property, and accessibility.
- The European Union may not fully participate in this agricultural transformation due to existing or anticipated challenges.
Conclusions:
- The synergy of advanced computing and genome editing holds transformative potential for global agriculture and food security.
- Addressing data-related challenges, including governance and intellectual property, is crucial for realizing these benefits.
- Proactive policy and infrastructure development are needed to ensure equitable participation in agricultural innovation, particularly within the EU.
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