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工程学助力奶牛健康。

Engineering to support wellbeing of dairy animals.

作者信息

Caja Gerardo, Castro-Costa Andreia, Knight Christopher H

机构信息

Group of Research in Ruminants (G2R),Department of Animal and Food Sciences,Universitat Autonoma de Barcelona,Bellaterra,Spain.

University of Copenhagen IKVH,Dyrlægevej 100,1870 Frb C,Denmark.

出版信息

J Dairy Res. 2016 May;83(2):136-47. doi: 10.1017/S0022029916000261.

Abstract

Current trends in the global milk market and the recent abolition of milk quotas have accelerated the trend of the European dairy industry towards larger farm sizes and higher-yielding animals. Dairy cows remain in focus, but there is a growing interest in other dairy species, whose milk is often directed to traditional and protected designation of origin and gourmet dairy products. The challenge for dairy farms in general is to achieve the best possible standards of animal health and welfare, together with high lactational performance and minimal environmental impact. For larger farms, this may need to be done with a much lower ratio of husbandry staff to animals. Recent engineering advances and the decreasing cost of electronic technologies has allowed the development of 'sensing solutions' that automatically collect data, such as physiological parameters, production measures and behavioural traits. Such data can potentially help the decision making process, enabling early detection of health or wellbeing problems in individual animals and hence the application of appropriate corrective husbandry practices. This review focuses on new knowledge and emerging developments in welfare biomarkers (e.g. stress and metabolic diseases), activity-based welfare assessment (e.g. oestrus and lameness detection) and sensors of temperature and pH (e.g. calving alert and rumen function) and their combination and integration into 'smart' husbandry support systems that will ensure optimum wellbeing for dairy animals and thereby maximise farm profitability. Use of novel sensors combined with new technologies for information handling and communication are expected to produce dramatic changes in traditional dairy farming systems.

摘要

全球牛奶市场的当前趋势以及近期牛奶配额的取消,加速了欧洲乳业朝着更大农场规模和更高产动物发展的趋势。奶牛仍然是关注焦点,但人们对其他乳制品动物的兴趣也在增加,这些动物的奶通常用于传统和受保护的原产地命名以及美食乳制品。总体而言,奶牛场面临的挑战是在实现尽可能高的动物健康和福利标准的同时,保持高产奶性能并将对环境的影响降至最低。对于大型农场来说,这可能需要在饲养人员与动物的比例低得多的情况下完成。最近的工程进步和电子技术成本的降低,使得能够开发出自动收集生理参数、生产指标和行为特征等数据的“传感解决方案”。这些数据有可能帮助决策过程,实现对个体动物健康或福利问题的早期检测,从而应用适当的纠正饲养措施。本综述重点关注福利生物标志物(如应激和代谢疾病)、基于活动的福利评估(如发情和跛行检测)以及温度和pH传感器(如产犊警报和瘤胃功能)方面的新知识和新进展,以及它们如何结合并整合到“智能”饲养支持系统中,以确保奶牛的最佳福利,从而实现农场利润最大化。预计将新型传感器与用于信息处理和通信的新技术相结合,会给传统奶牛养殖系统带来巨大变化。

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