华中农业大学学报2026，Vol.45Issue(3)：1-17,17.DOI:10.13300/j.cnki.hnlkxb.2026.03.001
多维数据链驱动与智能决策协同:智能育种技术体系的系统构建与遗传增益跃迁
Synergy of multi-dimensional data chain-driven and intelligent decision-making:systematic construction of intelligent breeding technology systems and transition of genetic gain
摘要
Abstract
Intelligent breeding,as the core driving force of technological innovation in modern seed in-dustry,is facilitating the transformation of crop genetic improvement from experience-based approaches to data-driven paradigms.This article systematically reviewed the path of constructing the intelligent breeding technology framework and the progress on its application in crop genetic improvement to provide theoretical foundations and practical references for the intelligent transformation of seed industry in China.The achieved breakthroughs of intelligent breeding in designing complex trait,mining germplasm resource,and predict-ing genetic gain were summarized based on combining key technical modules including the acquisition of da-ta from high-throughput phenotyping and genotyping,the decision-making empowered by artificial intelli-gence(AI)algorithm and the integration of multi-omics platform with typical case studies at home and abroad.Intelligent breeding significantly improved the efficiency and precision of breeding by constructing multi-dimensional data-driven models that integrate genotype,phenotype,and environment(G×P×E).In the future,we should strengthen the interdisciplinary integration of biology,information and engineer-ing,develop knowledge-embeddedalgorithms,establish a global collaboration platform,promote the digi-tal sharing of germplasm resources and the reconstruction of commercial breeding systems.It is recommend-ed to establish policy-guided mechanisms to deepen industry-academia-research collaboration,thereby ac-celerating the translation of technological innovations into the industrial end.关键词
智能育种/人工智能算法/基因编辑/虚拟育种模拟/智能挖掘/遗传增益/深度学习模型Key words
intelligent breeding/artificial intelligence(AI)algorithms/gene editing/simulation of virtual breeding/intelligent mining/genetic gain/model of deep learning分类
农业科技引用本文复制引用
张之奇,王兴涛,任端阳,曹文福,王建军..多维数据链驱动与智能决策协同:智能育种技术体系的系统构建与遗传增益跃迁[J].华中农业大学学报,2026,45(3):1-17,17.基金项目
国家重点研发计划项目(2024YFD1201305) （2024YFD1201305）
国家联合攻关项目子课题(NK202307020403) （NK202307020403）
山西农业大学科研项目计划项目(CXGC202449) （CXGC202449）
