WALMSLEY, Brad

Brad Walmsley

Research interests

  • Breeding objectives and multiple trait selection
  • Genetic and phenotypic prediction
  • Maternal productivity in beef cattle
  • Divergent selection for visual muscling in beef cattle
  • Integration of animal and system models in decision systems

Background

Brad Walmsley is a livestock research officer at the Animal Genetics and Breeding Unit, NSW DPIs joint venture with the University of New England. Brad is responsible for the R&D in breeding objectives and selection indexes for beef cattle including the continued development and support of industry application of the BreedObject technology. The BreedObject technology has been applied across all major beef breeds in Australia and internationally in some breeds.

Brad originally joined the NSW Department of Primary Industries in 2008 as a livestock research officer in the animal production unit. He had strong involvement in the phenotypic prediction and maternal productivity programs of the former Cooperative Research Center for Beef Genetic Technologies. His expertise in modelling animal production systems contributed to the development of the BeefSpecs decision support tool and subsequent developments (On-Farm Drafting tool, Feedlot Optimisation). Brad has also been involved in research for divergent selection for visual muscle score.

Qualifications

  • B.Rur.Sc. (Hons) – University of New England (Australia) 2002
  • PhD Animal Genetics – University of New England (Australia) 2007

Current projects

  • BreedObject software system development maintenance
  • Accuracies for multiple-trait selection indexes
  • Phenotypic prediction
  • Consequences of selection for divergent muscling in beef cattle
  • Development of new systems for value based trading in beef and sheep

Recent publications

Anderton, L.A., J.M. Accioly, K.J. Copping, M.P.B. Deland, M.L. Hebart, R.M. Herd, F.M. Jones, M. Laurence, S.J. Lee, J. Speijers, B.J. Walmsley and W.S. Pitchford. 2016. Divergent genotypes for fatness or residual feed intake in Angus cattle 7: Genetically leaner cows produce more kg’s of meat per hectare and have superior gross margins. Animal Production Science. (Published online, awaiting print - dx.doi.org/10.1071/AN15636).

Walmsley, B.J., S.J. Lee, P.F. Parnell and W.S. Pitchford. 2016. A review of maternal productivity in temperate beef cattle with the aim of improving production efficiency. Animal Production Science. (Published online, awaiting print - dx.doi.org/10.1071/AN12428).

Walmsley, B.J. and V.H. Oddy. 2016. Modelling systems to describe maternal productivity with the aim of improving production efficiency by eliciting practise management change. Animal Production Science. (Published online, awaiting print - dx.doi.org/10.1071/AN14874).

Accoily, J.M., K.J. Copping, M.P.B. Deland, M.L. Hebart, R.M. Herd, S.J. Lee, F.M. Jones, M. Laurence, J. Speijers, B.J. Walmsley and W.S. Pitchford. 2016. Divergent genotypes for fatness or residual feed intake in Angus cattle 4: Fluctuations in cow fatness are related to fat EBVs. Animal Production Science. (Published online, awaiting print - dx.doi.org/10.1071/AN14797).

Hebart, M.L., J.M. Accioly, K.J. Copping, M.P.B. Deland, R.M. Herd, F.M. Jones, M. Laurence, D.S. Lines, S.J. Lee, J. Speijers, B.J. Walmsley and W.S. Pitchford. 2016. Effects of diverse genotypes for fatness or residual feed intake in Angus cows 5: Feed efficiency and maternal productivity are affected. Animal Production Science. (Published online, awaiting print - dx.doi.org/10.1071/AN14034 ).

Greenwood, P.L., J.P. Siddell, M.J. McPhee, B.J. Walmsley, G.H. Geesink, and D.W. Pethick. 2015. Fat distribution from weaning to long-feedlotting in Bos taurus genotypes: 1. Growth, commercial carcass traits and intramuscular fat content in 5 muscles. Journal of Animal Science. 93: 4132-4143.

Walmsley, B.J., M.J. McPhee, and V.H. Oddy. 2014. Development of the BeefSpecs fat calculator to assist decision making to increase compliance rates with beef carcass specifications. Animal Production Science. 54: 2003-2010.

McPhee, M.J., B.J. Walmsley, D.G. Mayer, and V.H. Oddy. 2014. BeefSpecs fat calculator to assist decision making to increase compliance rates with beef carcass specifications: evaluation of inputs and outputs. Animal Production Science. 54: 2011-2017.

Mayer, D.G., B.J. Walmsley, M.J. McPhee, V.H. Oddy, J.F. Wilkins, B.P. Kinghorn, R.C. Dobos, and W.A. McKiernan. 2013. Integrating stochasicity into the objective function avoids Monte Carlo computation in the optimisation of beef feedlots. Computers and Electronics in Agriculture 91: 30-34.

Walmsley, B.J., M.L. Wolcott, and M.J. McPhee. 2010. Modelling the relationship between scanned rump and twelfth-rib fat in young Bovines: Development and evaluation. Journal of Animal Science 88: 1848-1859.

Professional associations and activities

  • Member Association for the Advancement of Animal Breeding and Genetics
  • Member Australian Society of Animal Production
  • Member Modelling and Simulation Society of Australia and New Zealand

Fields of research

  • 070201 Animal Breeding
  • 070202 Animal Growth and Development

Australian and New Zealand Standard Research Classification (ANZSRC)

Keyword/phrase list of research interests

  • Animal breeding
  • Breeding objectives
  • Animal growth and development
  • Maternal productivity
  • Decision support tools
  • Phenotypic prediction

Contact details

Email: brad.walmsely@dpi.nsw.gov.au
Location: Armidale NSW 2351