Literature DB >> 27210489

Engineering to support wellbeing of dairy animals.

Gerardo Caja1, Andreia Castro-Costa1, Christopher H Knight2.   

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.

Entities:  

Keywords:  Dairy technologies; biomarkers; health; husbandry; review; welfare

Mesh:

Substances:

Year:  2016        PMID: 27210489     DOI: 10.1017/S0022029916000261

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  5 in total

Review 1.  Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

Authors:  Sarah Morrone; Corrado Dimauro; Filippo Gambella; Maria Grazia Cappai
Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

Review 2.  Twelve Threats of Precision Livestock Farming (PLF) for Animal Welfare.

Authors:  Frank A M Tuyttens; Carla F M Molento; Said Benaissa
Journal:  Front Vet Sci       Date:  2022-05-27

Review 3.  A Systematic Review of Precision Livestock Farming in the Poultry Sector: Is Technology Focussed on Improving Bird Welfare?

Authors:  Elizabeth Rowe; Marian Stamp Dawkins; Sabine G Gebhardt-Henrich
Journal:  Animals (Basel)       Date:  2019-08-27       Impact factor: 2.752

4.  Assessment of feeding, ruminating and locomotion behaviors in dairy cows around calving - a retrospective clinical study to early detect spontaneous disease appearance.

Authors:  Mahmoud Fadul; Luigi D'Andrea; Maher Alsaaod; Giuliano Borriello; Antonio Di Lori; Dimitri Stucki; Paolo Ciaramella; Adrian Steiner; Jacopo Guccione
Journal:  PLoS One       Date:  2022-03-04       Impact factor: 3.240

5.  Quantifying resilience of humans and other animals.

Authors:  Marten Scheffer; J Elizabeth Bolhuis; Denny Borsboom; Timothy G Buchman; Sanne M W Gijzel; Dave Goulson; Jan E Kammenga; Bas Kemp; Ingrid A van de Leemput; Simon Levin; Carmel Mary Martin; René J F Melis; Egbert H van Nes; L Michael Romero; Marcel G M Olde Rikkert
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-29       Impact factor: 11.205

  5 in total

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