深度学习在作物基因编辑技术的应用与研究进展
收稿日期: 2025-06-18
录用日期: 2025-09-28
网络出版日期: 2026-04-01
基金资助
国家重点研发计划(2022YFF0711805);国家重点研发计划(2022YFF0711801);海南省自然科学基金(325MS155);三亚崖州湾科技城科技专项资助(SCKJ-JYRC-2023-45);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2409);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2410);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2508);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2509);中央级公益性科研院所基本科研业务费专项(JBYW-AII-2024-05);中央级公益性科研院所基本科研业务费专项(JBYW-AII-2025-05);中央级公益性科研院所基本科研业务费专项(Y2025YC90);中国农业科学院科技创新工程(CAAS-ASTIP-2024-AII)
Application of Deep Learning in Crop Gene Editing Technology and Research Progress
Received date: 2025-06-18
Accepted date: 2025-09-28
Online published: 2026-04-01
赵晓燕 , 周焕斌 , 周国民 , 张建华 . 深度学习在作物基因编辑技术的应用与研究进展[J]. 农业大数据学报, 2026 , 8(1) : 24 -35 . DOI: 10.19788/j.issn.2096-6369.000120
In recent years, gene editing technology has developed rapidly and has become a core tool for basic gene function research and biological breeding. And with the growth of computers and big data driving the application of deep learning in gene editing, deep learning technology is playing an increasingly significant role in optimizing the gene editing process, especially in enhancing the efficiency of crop improvement. This article reviews the research progress of deep learning in gene editing optimization, focusing on the application of deep learning in gene editing efficiency and specificity enhancement. In addition, the article delves into the technical challenges facing the deep integration of deep learning and gene editing, and looks forward to its future development prospects. By combining advanced gene editing technology with deep learning, the progress of crop breeding will be further accelerated in the future.
Key words： deep learning; language models; gene editing
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