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Data challenges for future plant gene editing: expert opinion.

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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.

Keywords:
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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.