乳腺炎
乳品工业
疾病
生物技术
奶牛
生产力
鉴定(生物学)
医学
盈利能力指数
代谢组学
重症监护医学
生物
生物信息学
病理
业务
动物科学
宏观经济学
经济
植物
食品科学
财务
作者
Klevis Haxhiaj,David S. Wishart,Burim N. Ametaj
出处
期刊:Dairy
[Multidisciplinary Digital Publishing Institute]
日期:2022-10-17
卷期号:3 (4): 722-746
被引量:18
摘要
Periparturient diseases continue to be the greatest challenge to both farmers and dairy cows. They are associated with a decrease in productivity, lower profitability, and a negative impact on cows’ health as well as public health. This review article discusses the pathophysiology and diagnostic opportunities of mastitis, the most common disease of dairy cows. To better understand the disease, we dive deep into the causative agents, traditional paradigms, and the use of new technologies for diagnosis, treatment, and prevention of mastitis. This paper takes a systems biology approach by highlighting the relationship of mastitis with other diseases and introduces the use of omics sciences, specifically metabolomics and its analytical techniques. Concluding, this review is backed up by multiple studies that show how earlier identification of mastitis through predictive biomarkers can benefit the dairy industry and improve the overall animal health.
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