School of Veterinary Medicine and Science
   
   
  

Edward Hayes

Email:

svxeh@nottingham.ac.uk

Room:

C01, Gateway Building

Biography:

I graduated from the RVC, University of London with a Bachelor of Veterinary Medicine (BVetMed) in 2003. I then worked in farm animal practice in Kent, Sussex, Cheshire, Wiltshire and Somerset for 12 years. My time was spent working with a range of farm animal clients and a large number of different clinical scenarios. During my time in practice I was particularly interested in routine fertility work and especially fertility management of large intensive dairy farms and extensive grass based dairy farms. I also completed a range of non-clinical projects including teaching, research, advanced animal breeding and external consultancy work. I received a Masters Degree in Bovine Reproduction (DBR) at the University of Liverpool in 2010 while working in practice. I joined the School of Veterinary Medicine and Science at the University of Nottingham in October 2015, to work on a PhD in dairy herd fertility.

Degree Registration:

PhD, due for completion in September 2019.

Research Groups:

Research Topic:

Evidence based decisions to improve dairy herd fertility

Summary of Research:

My PhD research will investigate the association between various factors and pregnancy in dairy cows, with an overall aim of combining new and current knowledge to develop a quantitative model for use in optimising farm decision making. Evidence synthesis modelling will be used to simultaneously evaluate thousands of farm scenarios to identify the optimal decision for any given situation. To achieve this, the project has four objectives:

  1. Data analysis: A large dataset will be used to explore relationships with the intention of adding to the existing literature on the relationships between endemic disease and reproduction.
  2. Identification of current research knowledge: A systematic literature evaluation will be carried out into factors known to affect dairy cow fertility, including conversion of results into a mathematical format so that they can be used as inputs for a decision model.
  3. Evidence synthesis modelling: A simulation model will be used to determine the relative importance of different factors affecting fertility in different herd situations, including their relative cost-benefits.
  4. Software for decision analysis: A herd-level decision support tool will be designed and developed, based on a simulation model, which will allow farm managers and advisors to explore the likely impact of a wide range of interventions, given their current herd situation. 

Research Supervisors:

Primary Funding Source:

AHDB Dairy

Publications:

School of Veterinary Medicine and Science

University of Nottingham
Sutton Bonington Campus
Leicestershire, LE12 5RD

telephone: +44 (0)115 951 6116
fax: +44 (0)115 951 6415
email: veterinary-enquiries@nottingham.ac.uk