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Developing tools to restore fertility in dairy cows

Summary of the impact

Fertility of dairy cows has been in decline since the 1970's and this has threatened sustainability of the dairy industry worldwide. Research led by Nottingham University (UoN) identified key drivers of fertility and provided genetic and nutritional tools for the industry, to help combat the decline. The genetic tool was the UK Fertility Index, which is used universally by breeders for national and international bull selection. The nutritional tool, which is widely applied by international feed companies, used the concept that nutritional manipulation of insulin enhances fertility. Evidence shows that use of these tools between 2008 and 2013 has reversed the decline, and fertility is being restored. This has brought commercial benefits for breeding companies, cattle food producers and farmers and had a positive impact upon animal welfare.

Submitting Institution

University of Nottingham

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Food Sciences
Medical and Health Sciences: Paediatrics and Reproductive Medicine

1h. The Profitable Lifetime Index (£PLI) is a reliable basis for genetic improvement of dairy cattle productivity, health, welfare, longevity and environmental impact

Summary of the impact

Impact: Economic / animal health and welfare / environment: Improved profitability and sustainability of the UK dairy industry.

Significance: The use of the Profitable Lifetime Index (£PLI) increased the profitability of the dairy sector by an estimated £634M in 2008-2013 and reduced the greenhouse gas emissions from the sector by an estimated 8.4%.

Beneficiaries: Dairy producers, breeding companies, general public/environment, dairy cattle welfare and health.

Attribution: Drs Wall, Mrode (SRUC), and Brotherstone (UoE), Profs. Coffey, Simm, Stott, Veerkamp, Oldham (SRUC), and Woolliams (UoE/Roslin)

Reach: UK dairy industry. Tools developed, such as the routine recording of body condition score, and using these data in national genetic evaluations, have been widely adopted internationally, including in major dairy genetics exporting countries such as the USA, Canada, the Netherlands and New Zealand.

Submitting Institutions

University of Edinburgh,SRUC

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Economic

Research Subject Area(s)

Engineering: Food Sciences

Improved dairy-cattle welfare and reduced financial losses result from Bristol research into lameness

Summary of the impact

Dairy-cow herds in the UK and overseas, together with the dairy farming industry, are benefiting from strategic animal-husbandry changes and lameness-control programmes underpinned by research undertaken at the University of Bristol since 1997. The dissemination by the UK Dairy Levy Board of national Standardised Lameness Scores (the DairyCo Mobility Scoring system, launched in 2008) and of Husbandry Advisory Tools (the DairyCo Healthy Feet Programme, launched in 2011) was a direct result of Bristol's work. It has led to the widespread adoption of lameness scoring as a farm-management tool, the inclusion of lameness assessment within certification schemes and a nationwide network of trained `mobility mentors'. Where implemented, this advisory support has resulted in a significant drop in lameness prevalence, thereby improving welfare and reducing the economic losses associated with treating and culling lame cows. Successful engagement with industry groups throughout the research process has ensured that scientific outputs have been rapidly implemented within the farming community. This approach has been adopted internationally with the scoring system being used by Europe's largest dairy company and a modified version is also being promoted by the New Zealand dairy industry.

Submitting Institution

University of Bristol

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Food Sciences

Advances in Assisted Reproduction – agricultural, human and conservation applications

Summary of the impact

Different aspects of Professor Paul Watson's research on artificial insemination and semen preservation techniques, have delivered impact in agricultural, human healthcare and ecological spheres. They have contributed to commercial breeding practices, particularly in pigs, providing substantially improved efficiencies and reliability. Research on reducing transmission of infectious agents by semen during storage in liquid nitrogen has been applied to human AI, informing and driving changes in practice to protect against contamination leading to infection. In the field of conservation, the RVC's research has made a significant contribution to international efforts directed at the survival of highly endangered species, supporting preservation of biodiversity.

Submitting Institution

Royal Veterinary College

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Agricultural and Veterinary Sciences: Animal Production
Medical and Health Sciences: Paediatrics and Reproductive Medicine

Prevention of dry period infections in dairy cows

Summary of the impact

The University of Nottingham (UoN) has been at the forefront of research into intramammary infections during the non-lactating (dry) period in dairy herds. This research, disseminated through presentations to key stakeholders and veterinary textbooks, has changed clinical and farmer practices as evidenced by international disease/welfare reports, national control programmes and increased use of non-antibiotic teat sealants. The work has culminated in the launch of a novel software tool that uses the research findings to provide a farm-specific decision aid, which benefits the business activities of dairy farmers and improves animal health and welfare.

Submitting Institution

University of Nottingham

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Agricultural and Veterinary Sciences: Animal Production
Information and Computing Sciences: Artificial Intelligence and Image Processing

Advancing analgesic use in cattle

Summary of the impact

The use of non-steroidal anti-inflammatory drugs (NSAIDs) for their pain-relieving properties in cattle medicine has lagged behind that of other species (e.g. companion animals) where analgesic use is now routine. University of Nottingham (UoN) research exploring the attitudes of vets and farmers to the use of NSAIDs in cattle, and subsequent marketing by Boehringer Ingelheim, a multinational pharmaceutical company, has led to a substantial increase in analgesic use. UoN research increased sales for Boehringer Ingelheim and almost doubled the UK market value of NSAIDs for use in cattle. With administration of up to 2 million additional doses per year, the research had clear benefits for animal welfare.

Submitting Institution

University of Nottingham

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Agricultural and Veterinary Sciences: Animal Production
Medical and Health Sciences: Clinical Sciences

1f. The development of genomic selection and application through optimal contribution theory in livestock breeding

Summary of the impact

Impact: Economic: Genomic selection has revolutionised, and is now standard practice, in the major dairy cattle, pig and chicken breeding programmes, worldwide and provides multiple quantifiable benefits to breeders, producers, consumers and animals.

Significance: Increased food production world-wide

Beneficiaries: Breeding companies, primary producers, consumers, livestock.

Attribution: Work led by Haley and Woolliams (Roslin Institute now part of UoE).

Reach: Methodologies applied worldwide in livestock improvement, and more recently applied in human genetics and plant breeding.

Submitting Institutions

University of Edinburgh,SRUC

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Biological Sciences: Genetics
Agricultural and Veterinary Sciences: Animal Production

09_Dairy farm profitability is enhanced by the application of quantitative genetics.

Summary of the impact

Impact on productivity, the economy and the environment: UK dairy farmers can select the best animals for breeding using analysis of a wide range of traits, leading to improved productivity, greater efficiency and reduced environmental impact, because of UoE research creating a UK Test Day Model (TDM) and an overall Profitable Lifetime Index (PLI)

Beneficiaries: The principal beneficiary is the dairy industry, specifically dairy farmers who are able to generate higher profits. This has benefits for UK consumers and the economy by keeping milk prices lower. The reduction in greenhouse gas emissions associated with more efficient dairy farming practices has global benefits.

Significance and Reach: The genetic evaluation system enabled by the PLI and TDM has resulted in a financial benefit to the UK dairy industry of an estimated £440M over the period 2008-2013.

Attribution: The quantitative genetic research was led by Dr Sue Brotherstone and Professor Bill Hill of the School of Biological Sciences, UoE, with colleagues at Roslin Institute (UoE; UoA6) and SRUC (also returned with UoE in UoA6) as described below.

Submitting Institution

University of Edinburgh

Unit of Assessment

Biological Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Biological Sciences: Genetics

Production of dairy products with reduced saturated fat content

Summary of the impact

Since 2011, an estimated 3 million UK milk consumers have benefitted each year from research conducted at the University of Reading, which has helped reduce saturated fatty acids (SFAs) in milk and milk products. The research, which was carried out between 2004 and 2013, manipulated dairy cows' diets to produce milk with reduced saturated fat and increased unsaturated fat content. Leading UK retailer, Marks and Spencer (M&S), used this research to support its suppliers in providing a new diet regime for their dairy cows, launching a new low saturated fat M&S milk in October 2011. The launch of this healthier milk product has led to (i) improved diets and reduced associated health risks (heart disease, obesity and cancer) for M&S customers (ii) reduced use of non-sustainable palm oil in cow diets (iii) reduced harmful greenhouse gas emissions (iv) increased sales for M&S and enhanced reputation in terms of quality and corporate social responsibility (v) increased payment contracts for milk producers and (vi) new techniques to measure fatty acids in milk for the dairy industry.

Submitting Institution

University of Reading

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Technological

Research Subject Area(s)

Medical and Health Sciences: Nutrition and Dietetics

Electronic monitoring of dairy herds increases efficiency and reduces costs for UK and EU farmers

Summary of the impact

Research undertaken at Strathclyde during 2006-2009 produced a decision support platform combining artificial intelligence with low power wireless sensor technology, which was capable of alerting farm staff to animal conditions requiring human intervention. ETS Ltd, a privately owned University Spin-out company was founded in 2009 to develop and market the new technology, and now employs 7 full time staff. Since 2010 more than 250 farms in the UK and Europe have adopted the technology, enabling them to reduce operating costs, maximise milk revenue, with an estimated increase of £10k per 100 cows per annum. The new technology has also improved the performance of other existing businesses and has helped retain jobs in the supply chain in Scotland.

Submitting Institution

University of Strathclyde

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Engineering: Geomatic Engineering
Medical and Health Sciences: Public Health and Health Services

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