中国畜禽种业2025，Vol.21Issue(9)：66-75,10.
机器学习在肉牛育种中的应用与展望
Application and Prospect of Machine Learning in Beef Cattle Breeding
摘要
Abstract
In the 21st century,the field of animal breeding has entered a stage neeed high-throughput analysis widely application and growing exponentially breeding data is facing severe challenges with exposes many problems such as low computational efficiency and inability to effectively explore potential relationships in traditional statistical analysis methods when dealing with large-scale,high-dimensional,and complex data..Furthermore,have made machine learning technology has highly advantageous in rapidly analyzing massive breeding data and accurately capturing complex patterns and features in the data,bringing broad prospects for its application in the field of animal breeding under breakthroughs in computer hardware performance and algorithm innovation.Therefore,this article mainly introduced the definition,development history,mainstream machine learning methods,and their app-lication progress in breeding key traits such as growth performance,meat quality,reproductive traits,and stress resistance in beef cattle.It also helped for carring out development trends and main issues in future improving the efficiency and accuracy of excellent beef cattle screening,accelerating the breeding process,and promoting the vigorous development of China's beef cattle industry.关键词
机器学习/肉牛育种/应用/展望Key words
Machine learning/Beef cattle breeding/Application/Prospect分类
农业科技引用本文复制引用
谢雪静,张伟,袁洋,郭超凡,李芃润,陈素娟,郭利亚,张晓建,韦光辉,白跃宇..机器学习在肉牛育种中的应用与展望[J].中国畜禽种业,2025,21(9):66-75,10.基金项目
河南科技学院大学生创新训练项目(基于非靶向代谢组的肉牛唾液热应激早期快测试纸研发) （基于非靶向代谢组的肉牛唾液热应激早期快测试纸研发）
河南省重点研发专项(241111110100) （241111110100）
河南省科技攻关计划项目(232102110003、252102110031). （232102110003、252102110031）
