奶牛酮病早期预警技术的研究进展OACSTPCD

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.