摘要
在“禁抗”时代背景下,药食同源中药资源饲料化是抗生素替代品开发领域的研究热点。如何以药食两用中药资源为原料开发出既有益农畜又保障营养平衡且精准的饲料产品成为了难题。人工智能技术在饲料生产和提高智能养殖效率方面具有独特优势。如将人工智能技术应用于药食同源中药资源饲料化开发中,在保证精准营养的基础上,也可以同时发挥药食同源中药的饲用价值和替抗价值。为了在药食同源中药资源饲料化开发领域更好地应用人工智能技术,该文使用CiteSpace软件进行了文献可视化分析,分析发现人工智能技术近年来在饲料配方优化领域有较好的应用。然而,药食同源中药资源智能化利用研究尚处空白。但是,人工智能技术应用于药食同源中药资源饲料化具有可行性。因此,该文首次提出药食同源中药饲料原料智能配方系统框架,以期为药食同源中药资源饲料化开发领域的研究和抗生素替代品开发领域的研究提供新思路,同时能够为当代畜牧业和中药产业开辟出一条崭新的绿色产业链。
In the context of the "antibiotic ban" era,the feed conversion of medicinal and edible traditional Chinese medicine(TCM) resources is a research hotspot in the field of antibiotic alternatives development.How to develop feed products that are beneficial to agriculture and livestock while ensuring nutrient balance and precision using medicinal and edible TCM resources as raw materials has become a challenge.Artificial intelligence(AI) technology has unique advantages in feed production and improving the efficiency of intelligent breeding.If AI technology is applied to the feed development of medicinal and edible TCM resources,it is possible to realize feeding and antibiotic-replacement value while ensuring precise nutrition.In order to better apply AI technology in the field of feed development of medicinal and edible TCM resources,this article used CiteSpace software to carry out literature visualization analysis and found that AI technology had a good application in the field of feed formulation optimization in recent years.However,there is still a gap in the research on the intelligent utilization of medicinal and edible TCM resources.Nonetheless,it is feasible for AI technology to be applied to the feed conversion of medicinal and edible TCM resources.Therefore,this article proposed for the first time an intelligent formulation system framework for feed materials derived from medicinal and edible TCM resources to provide new ideas for research in the field of feed development of medicinal and edible TCM resources and the research on the development of antibiotic alternatives.At the same time,it can pave the way for a new green industry chain for contemporary animal husbandry and the TCM industry.
作者
邵芊芊
肖平
张霞
郭盛
段金廒
SHAO Qian-qian;XIAO Ping;ZHANG Xia;GUO Sheng;DUAN Jin-ao(Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization,National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine,Key Laboratory of Chinese Medicinal Resources Recycling Utilization,National Administration of Traditional Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China;College of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2024年第2期344-353,共10页
China Journal of Chinese Materia Medica
基金
江苏省中医药科技发展计划项目(MS2021004)
江苏省中药资源产业化过程协同创新中心重点项目(ZDXM-2022-06)
南京中医药大学自然科学基金青年项目(NZY81703642)
中央本级重大增减支项目(2060302)
宁夏重点研发计划重点项目(2020BFH02013)
国家中医药管理局中医药创新团队及人才支持计划项目(ZYYCXTD-D-202005)
江苏高校哲学社会科学研究一般项目(2021SJA0337)。
关键词
药食同源中药
人工智能
智能算法
精准营养
饲料配方优化
可视化分析
medicinal and edible traditional Chinese medicine(TCM)
artificial intelligence
intelligent algorithm
precision nutri-tion
feed formulation optimization
visual analysis
作者简介
通信作者:肖平,博士,副教授,主要从事中药资源化学与中药药效物质基础研究,E-mail:xiaoping@njucm.edu.cn;通信作者:段金廒,教授,博士生导师,主要从事中药资源化学及资源循环利用研究,E-mail:dja@njucm.edu.cn。
