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Updated: Sep 20, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
Published on: January 3, 2025
Integrating genome editing with omics, artificial intelligence, and advanced farming technologies to increase crop
Abigail Bradbury1, Olivia Clapp1, Anna-Sara Biacsi1
1Rothamsted Research, Harpenden, UK.
None:
Celebrated for boosting agricultural productivity and enhancing food security worldwide, the Green Revolution comprised some of the most significant advances in crop production in the 20th century. However, many recent studies have reported crop yield stagnation in certain regions of the world, raising concerns that yield gains are no longer sufficient to feed the exponentially growing global population. Here, we review the current challenges facing global crop production and discuss the potential of genome editing technologies to overcome yield stagnation, along with current legislative barriers that limit their application. We assess strategies for the integration of genome editing with omics, artificial intelligence, robotics, and advanced farming technologies to improve crop performance. To achieve real-world yield improvements, agricultural practices must also evolve. We discuss how precision farming approaches-including satellite technology, AI-driven decision support, and real-time monitoring-can support climate-resilient and sustainable agriculture. Going forward, it will be essential to address issues throughout the agricultural pipeline to fully integrate rapidly developing genome editing methods with other advanced technologies, enabling the industry to keep up with environmental changes and ensure future food security.
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