中国畜牧杂志2024，Vol.60Issue(1)：31-35,5.DOI:10.19556/j.0258-7033.20221122-02
奶牛酮病早期预警技术的研究进展
Research Progress on Early Warning Technology of Cow with Ketosis
摘要
Abstract
In recent years,with the development of dairy industry,the high cost,high incidence rate and low profit are obstacles to the sustainable development of dairy industry.The incidence rate of ketosis in dairy cows has an increasing trend year by year,and different risk factors such as parity,postpartum time,month,and milk yield affect the occurrence of ketosis in dairy cows.Great progress has been made in the early warning technology of ketosis based on cow behavior,dairy herd improvement data,metabolomics technology and machine learning.Therefore,this paper intends to review the incidence characteristics and early warning technology of ketosis,so as to provide theoretical reference for the perinatal health management of dairy cows,which is of great significance to promote the quality and efficiency of dairy industry and improve the welfare of dairy cows.关键词
奶牛/酮病/机器学习/代谢组学/疾病预警Key words
Cow/Ketosis/Machine learning/Metabolomics/Disease warning分类
畜牧业引用本文复制引用
杜振隆,罗正中,周涛,曹随忠,严作廷..奶牛酮病早期预警技术的研究进展[J].中国畜牧杂志,2024,60(1):31-35,5.基金项目
甘肃省科技厅重点研发计划项目(20YF8NA029) （20YF8NA029）
四川省自然科学基金项目(2023NSFSC0234) （2023NSFSC0234）
重庆市自然科学基金项目(CSTB2022NSCQ-MSX1602) （CSTB2022NSCQ-MSX1602）
