Award details

Cow Health Monitor

Reference	BB/M028275/1
Principal Investigator / Supervisor	Dr Mizeck Chagunda
Co-Investigators / Co-Supervisors	Professor Richard Dewhurst, Professor Carol-Anne Duthie, Professor Malcolm Mitchell, Dr David Ross
Institution	SRUC
Department	Research
Funding type	Research
Value (£)	307,745
Status	Completed
Type	Research Grant
Start date	01/04/2015
End date	31/03/2018
Duration	36 months

Abstract

This project will develop a state-of-the art early-detection system for metabolic and infectious disease in dairy cattle, addressing some of the key challenges facing the UK dairy sector specifically lameness, ketosis, and acidotic disorders/diseases. Currently yield potential (i.e. growth and milk) is hindered by the high incidence and prevalence of metabolic and infectious disease. The proposed solution will utilise animal and remote sensors to identify appropriate biological indicators or "early warning" bio-markers of the subsequent clinical disease condition. Animal sensors will determine behavioural signatures associated with feeding behaviour and lameness. Targeted thermal imaging systerms will detect elevated temperature associated with local inflammation and early pyrexia (fever) indicative of infectious disease. Breath and in-line milk sensors will be used to measure biomarker chemical constituents. Assimilation of these multiple measures will aid in early warning or diagnosis of the target conditions, and allow timely management intervention.

Summary

This project will develop a state-of-the art early-detection system for metabolic and infectious disease in dairy cattle, addressing some of the key challenges facing the UK dairy sector specifically lameness, ketosis, and acidosis. Currently yield potential (i.e. growth and milk) is hindered by the high incidence and prevalence of metabolic and infectious disease. The proposed solution will utilise animal-mounted and remote sensors to identify appropriate biological indicators or "early warning" bio-markers of the subsequent clinical disease condition. Accelerometers (neck collars) will be used to determine behavioural signatures associated with feeding behaviour (eating and rumination) and lameness (gait detection). Thermal imaging will be used to detect elevated temperature associated with local inflammation and early pyrexia (fever) indicative of infectious disease. Breath and in-line milk sensors will be used to measure, in real-time, ketones. The concentration of milk ketones correlates with a wide range of other health conditions. A ketotic state indicated by elevated plasma and milk ketones can impair immune function and thereby affect disease susceptibility

Impact Summary

A fully integrated system will offer services (from legacy installed oestrus detection to pre-clinical disease detection) to dairy farmers on-line over a single interface throughout the world. A number of routes to commercialisation can be established arising out of the information enabled by the platform, all with the focus of reducing the operational burden on individual farms whilst increasing productivity and profit throughout the supply chain; a feeding behaviour indicator service; information on feeding and rumination behaviour of individual animals; the range of conditions that affect these normal patterns of behaviour will be derived from individual animal-mounted technology; aligned and enhanced pre-clinical meatbolic disease and lameness detection, through novel embedded sensors deployed in a milking parlour. Thus the technology providers will enhance revenues through new product functionalities which then enable a number of services to be fashioned. The consortium comprises industries across the supply chain and each can derive commercial benefit from the outputs of the programme. Ultimately supermarket customers benefit from quality product without compromising the sustainability of the UK farming sector. All partners will continue to offer individual components as is currently the case but the real value will be derived from delivery of a fully integrated solution. The programme will de-risk the implementation but exploitation will require appropriate commercial arrangements to be established. Each partner enjoys a unique position in the supply chain and thus the generated IP can be commercially exploited in specific segments of the market. The ability to share data between different vendors on agreed royalty arrangements enables tailored services delivery. More generic outputs from the project include the capacity for large scale phenotyping of animal populations, both in terms of disease susceptibility and performance at the production level. With end-user agreements, this represents a valuable, cost-effective resource for recording traits with commercial potential to provide genetic improvement. Livestock production in the UK will gain against its international competitors and, by retaining the IP in the UK, the economic competitiveness of the United Kingdom will be enhanced. Societal benefit will stem from improved economics and sustainability of food production and a healthier national herd. The Innovate UK programme gives the partners the platform to enhance efficiency in production and improve animal health, and this will lead top buildign of market share of new, cost-effective products. New revenue will be generated through additional services which will improve productivity, welfare, and consumer confidence. This will enable the UK companies to significantly differentiate their current product offering and hence further grow market share internationally.

Committee	Research Committee A (Animal disease, health and welfare)
Research Topics	Animal Health, Animal Welfare, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	Innovate UK (TSB) [2011-2015]
Funding Scheme	X – not Funded via a specific Funding Scheme

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search