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This paper presents an in-depth review of how various advanced technologies are being integrated to revolutionize crop improvement and address global food security challenges. It examines the synergistic application of four key areas: Omics technologies (including genomics and metabolomics) for generating vast datasets and understanding plant biology; Genome editing for precise genetic modifications; Protein design for creating novel traits; and High-throughput phenotyping (HTP) for rapidly evaluating genetic variants. The authors emphasize the emerging role of Artificial Intelligence (AI) in enhancing these technologies, accelerating the selection and incorporation of elite alleles into existing or newly domesticated crops, and ultimately proposing a framework for AI-aided crop design. This integration, they argue, is crucial for developing sustainable and resilient crops capable of meeting the demands of a growing population facing climate change and limited resources.
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By 淼淼ElvaThis paper presents an in-depth review of how various advanced technologies are being integrated to revolutionize crop improvement and address global food security challenges. It examines the synergistic application of four key areas: Omics technologies (including genomics and metabolomics) for generating vast datasets and understanding plant biology; Genome editing for precise genetic modifications; Protein design for creating novel traits; and High-throughput phenotyping (HTP) for rapidly evaluating genetic variants. The authors emphasize the emerging role of Artificial Intelligence (AI) in enhancing these technologies, accelerating the selection and incorporation of elite alleles into existing or newly domesticated crops, and ultimately proposing a framework for AI-aided crop design. This integration, they argue, is crucial for developing sustainable and resilient crops capable of meeting the demands of a growing population facing climate change and limited resources.
References: