Professor Julius Van der Werf

Professor - School of Environmental and Rural Science

Julius Van der Werf

Phone: +61 2 6773 2092

Email: jvanderw@une.edu.au

Biography

Research Interests

Quantitative Genetics and Animal Breeding

Estimation of genetic parameters

  • design & data structure
  • mixed models analysis
  • genetic evaluation models
  • random regression models
  • variance component estimation

Genomic Analysis

  • genomic prediction
  • design of training populations for genomic prediction
  • prediction in mixed breed and crossbred populations
  • genome wide association studies
  • design of experiments
  • models for genomic prediction
  • phasing and imputation

Optimization of animal breeding programs

  • breeding objectives
  • optimizing selection
  • optimizing measurement
  • long and short term gains
  • genetic gain and genetic diversity
  • total genetic resource management

Qualifications

BAgrSc, MSc (1984), PhD (1990)  Wageningen University, The Netherlands

Employment History

  • Jan '07 - Present: Professor, Animal Genetics, UNE, Armidale, Australia.
  • Jan '02 - Dec '06: Associate Professor Animal Genetics, UNE, Armidale.
  • Jan '97 - Dec '01: Senior Lecturer Animal Genetics, UNE, Armidale.
  • Apr '93 - Dec '96: Sr Research Scientist, ID-DLO Inst. Animal Science and Health, Netherlands.
  • Dec '85 - Mar '93: Assistant Professor, Wageningen Agric. Univ., the Netherlands.

Teaching Experience

  • Graduate and postgraduate courses in Animal Genetics, Genetic Evaluation Design of Breeding Programs. Wageningen Agricultural Univ. (1986-1993) and University of New England (1997-current).
  • Supervision of postgraduate students, Wageningen Agricultural University (1986-1996) and UNE (1997-2004): 41 MSc and 43 PhD  students.
  • International Postgraduate Courses delivered in Australia, Brazil, Canada, Finland, the Netherlands.

Scientific Committees and Roles

  • 1999- -   Genetics Committee of the Australian Dairy Herd Improvement Scheme
  • 2001 - 2006   Program Manager CRC for Beef Quality
  • 2002 - -   Program Manager (Genetics) Sheep CRC
  • 2002 - -   co- Editor in Chief of Genetics, Selection and Evolution (INRA, France)
  • 2003 - -   Associate Editor Journal of Animal Breeding and Genetics (Blackwell)
  • 2005 - 2007   President of the Assoc. Adv. Animal Breeding & Genet. (Australasia)
  • 2006 - 2011   Editorial Board of Livestock Science (Elsevier)
  • 2005 - -   Technical Committee Sheep Genetics (MLA/AWI)

Publications

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Publications

Scholarly Books

  1. Kinghorn, B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). 2000. “Animal Breeding – Use of New Technologies”. The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8
  2. Van der Werf, J.H.J., H.U. Graser, R. Frankham and C. Gondro (Eds). 2009. Adaptation and Fitness in Animal Populations. Springer. ISBN 978-1-4020-9004-2.
  3. Walkden-Brown, S., J.H.J. van der Werf, C. Nimbkar and S V Gupta. 2009. Use of the FecB (Booroola) gene in sheep breeding programs. Proceedings of the Helen Newton Turner Memorial International Workshop held in Pune, Maharashtra, India, 10–12 November 2008. ACIAR Proceedings No. 133. Australian Centre for International Agricultural Research: Canberra. 238 pp. ISBN 978 1 921615 55 9.
  4. Gondro, C., J.H.J. van der Werf, and B.J. Hayes (Eds.). 2013. Genome-Wide Association Studies and Genomic Prediction. Series: Methods in Molecular Biol., Vol. 1019. ISBN 978-1-62703-446-3.

Scholarly Book Chapters

  1. Van der Werf, J.H.J., A.E. van Veldhuizen, and S. Korver. 1987. Relationship between young bull performance and dairy performance. In: Perform¬ance testing of AI bulls for efficiency and beef production in dairy and dual purpose breeds (eds. Korver, Averdunk, Bech Anderson). pg. 179 184, EAAP Publ. Nr.. 34, Pudoc, Wageningen. ISBN 90-220-09246.
  2. Dijkstra, J., S. Korver, J.K. Oldenbroek, and J.H.J. van der Werf. 1987. Relation-ship between performance test and progeny test for veal and beef production in Dutch Red and White Cattle.  In: Performance testing of AI bulls for efficiency and beef production in dairy and dual purpose breeds (eds. Korver, Averdunk, Bech Andersen): pg. 28-35 EAAP publ.no. 34, Pudoc, Wageningen. ISBN 90-220-09246.
  3. Korver, S., H. Vos, and J.H.J. van der Werf. 1987. Performance test results of young bulls in relation to feed intake and efficiency of female progeny.  In: Performance testing of AI bulls for efficiency and beef production in dairy and dual purpose breeds (eds. Korver, Averdunk, Bech Andersen): pg. 88 93 EAAP Publ. Nr. 34, Pudoc, Wageningen. ISBN 90-220-09246.
  4. H.A. Abbass, M. Towsey, J.H.J. van der Werf and G. Finn. 1999. Modelling the evolution: The evolutionary allocation problem. In: The application of artificial intelligence, optimization and Bayesian methods in agriculture. Queensland University of Technology. ISBN 1 86435 463 1. Pages117-134.
  5. Van der Werf, J.H.J. 2000. Livestock straight breeding system structures for the sustainable intensification of extensive grazing systems. In: “Workshop on developing breeding strategies for lower input animal production environments”,  Galal S., J. Boyazoglu and K. Hammond, K. (Eds.)  ISSN 1563 2504.  ICAR, Rome, Italy. Pages 105-178.
  6. Van der Werf, J.H.J. 2000. An overview of animal breeding and the role of new technologies. In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 1-10.
  7. Van der Werf, J.H.J. 2000. Simple selection theory and the improvement of selection accuracy. In:  “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 19-34.
  8. Van der Werf, J.H.J.  2000. Estimated breeding values and their properties. In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 55-72.
  9. Van der Werf, J.H.J.  2000. Use of information from relatives in genetic evaluation In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 73-98.
  10. Van der Werf, J.H.J.  2000. Marker Assisted Selection. In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 119-130.
  11. Van der Werf, J.H.J.  2000. A special case – the design of dairy breeding programs.  In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 159-170.
  12. Van der Werf, J.H.J.  2000. Inbreeding and the effects of increased prolificacy. In: “Animal Breeding – Use of New Technologies”, Kinghorn B.P., Van der Werf, J.H.J. and Ryan, M. (eds.). The Post Graduate Foundation in Veterinary Science of the University of Sydney. ISBN 0 646 38713 8. Pages 187-198.
  13. Van der Werf, J.H.J. 2007. Marker Assisted Selection in Sheep and Goats. In: “Marker Assisted Selection (MAS) in Crops, Livestock, Forestry and Fish: Current Status and the Way Forward”, FAO Invited Book Chapter 13.
  14. Dekkers, J.C.M. and Van der Werf, J.H.J. 2007. Strategies, limitations, and opportunities for marker-assisted selection in livestock. “Marker Assisted Selection (MAS) in Crops, Livestock, Forestry and Fish: Current Status and the Way Forward”, FAO Invited Book Chapter 10.
  15. Kinghorn, B.P., R. Banks, C. Gondro, V.D. Kremer, S.A. Meszaros, S. Newman, R.K. Shepherd, R.D. Vagg and J.H.J. van der Werf. 2008. Strategies to exploit genetic variation while maintaining diversity. In: Van der Werf, J.H.J., H.U. Graser, R. Frankham and C. Gondro (Eds). Adaptation and Fitness in Animal Populations. Springer. ISBN 978.
  16. Van der Werf, J.H.J. Genetic Aspects of Booroola introgression in breeding programs. 2009. In: Walkden-Brown, S., J.H.J. van der Werf, C. Nimbkar and S V Gupta.(Eds.). Use of the FecB (Booroola) gene in sheep breeding programs. Proc. of the Helen Newton Turner Memorial Internat.Workshop held in Pune, Maharashtra, India, 10–12 November 2008. ACIAR Proceedings No. 133. Australian Centre for International Agricultural Research: Canberra. pp. 160-169.
  17. Nimbkar C., Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., Gupta V. S., Pardeshi V.C., Maddox J.F., van der Werf J.H.J, Gray, G.D. and Walkden-Brown S.W. 2009. Biological and economic consequences of introgression of the FecB (Booroola) gene into Deccani sheep. In: Walkden-Brown, S., J.H.J. van der Werf, C. Nimbkar and S V Gupta.(Eds.). Use of the FecB (Booroola) gene in sheep breeding programs. Proc. of the Helen Newton Turner Memorial Internat.Workshop held in Pune, Maharashtra, India, 10–12 November 2008. ACIAR Proceedings No. 133. Australian Centre for International Agricultural Research: Canberra. pp. 90-99.
  18. Nimbkar C., van der Werf J.H.J,. Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., and Walkden-Brown S.W. 2009. Potential introgression pathways and strategies for wider use of the FecB gene in Maharashtra state and other parts of India In: Walkden-Brown, S., J.H.J. van der Werf, C. Nimbkar and S V Gupta.(Eds.). Use of the FecB (Booroola) gene in sheep breeding programs. Proc. of the Helen Newton Turner Memorial Internat.Workshop held in Pune, Maharashtra, India, 10–12 November 2008. ACIAR Proceedings No. 133. Australian Centre for International Agricultural Research: Canberra. pp.177-189.
  19. Van der Werf, J.H.J. 2013. Genomic selection in animal breeding programs. In: Gondro, C., J.H.J. van der Werf, and B.J. Hayes (Eds.).  Genome-Wide Association Studies and Genomic Prediction. Series: Methods in Molecular Biol., Vol. 1019. ISBN 978-1-62703-446-3.
  20. Clark, S.A. and van der Werf, J.H.J. 2013. Genomic best linear unbiased prediction (gBLUP) for the estimation of genomic breeding values. In: Gondro, C., J.H.J. van der Werf, and B.J. Hayes (Eds.).  Genome-Wide Association Studies and Genomic Prediction. Series: Methods in Molecular Biol., Vol. 1019. ISBN 978-1-62703-446-3.

Refereed Journal Articles

  1. Pollak, E.J., J. van der Werf, and R.L. Quaas. 1984. Selection bias and multiple trait evaluation. J. Dairy Sci. 67:1590.
  2. Van der Werf, J.H.J. 1984. Use of multiple trait mixed models for removal of bias due to selection. Neth. J Agric. Sci.33:84-86.
  3. Jansen, J., J.H.J. van der Werf, and W. de Boer. 1987. Genetic relationships between fertility traits for dairy cows in different parities. Livest. Prod. Sci. 17:337-349.
  4. Van Reeuwijk, A.J., S. Korver, and J.H.J. van der Werf. 1988. The inheritance of mitochondrial DNA in cattle.  Neth. J. Agric. Sci. 36:131.
  5. Van der Werf, J.H.J., J.Kamphof, and H. van den Broek, 1989. Simulation studies on methods of within herd estimation of breeding values for dairy cows. Livest. Prod. Sci. 23: 239 251
  6. Van der Werf, J.H.J., and W. de Boer. 1989. Influence of non-additive effects on estimation of genetic parameters in dairy cattle. J. Dairy Sci. 72: 2606-2614.
  7. Van der Werf, J.H.J., and W. de Boer. 1989. Estimation of genetic parameters in a crossbred population of Black and White Dairy Cattle. J. Dairy Sci. 72:2615-2623
  8. Van der Werf, J.H.J., and I.J.M. de Boer. 1990. Estimation of additive genetic variance when base populations are selected. J. Animal Sci. 68: 3124 3132.
  9. Dijkstra, J., J.K. Oldenbroek, S. Korver, and J.H.J. van der Werf. 1990. Breeding for veal and beef production in dutch Red and White cattle.  Livest. Prod. Sci. 25: 183 196.
  10. Huizinga, H.A., J.H.J. van der Werf, S. Korver, and G.J.W. van der Meij. 1991. Stationary performance testing of stallions from the Dutch Warmblood riding horse population. I. Estimated genetic parameters of scored traits and the genetic relation with dressage and jumping competition from offspring of breeding stallions. Livest. Prod. Sci. 27:231 244.
  11. Wei, M., H.A.M. van der Steen, J.H.J. van der Werf, and E.W. Brascamp. Relationship between purebred and crossbred parameters. 1991. I. Variances and covariances under the one locus model. J. Animal Breeding Genet. 108: 253 261
  12. Wei, M., J.H.J. van der Werf, and E.W. Brascamp. 1991. Relationship between purebred and crossbred parameters. II. Genetic correlation between purebred and crossbred performance under the model with two loci. J. Animal Breeding Genet. 108: 262 269
  13. Van Veldhuizen, A.E., H. Bekman, J.K. Oldenbroek, J.H.J. van der Werf, D.S. Koorn, and J.S. Muller. 1991. Genetic parameters for beef and milk production in Dutch Red and White dual purpose cattle and their implications for a breeding program.  Livest. Prod. Sci. 29: 17 30.
  14. Van der Werf, J.H.J. 1992. Restricted Maximum Likelihood estimation of additive genetic variance when selected base animals are considered fixed. J. Animal Sci. 70:1068 1076.
  15. Van der Werf, J.H.J., and R. Thompson. 1992. Variance decomposition in the estimation of genetic variance with selected data. J. Animal Sci. 70:2975-2985.
  16. Meuwissen, T.H.E., and J.H.J. van der Werf.  1993. Impact of heterogeneous within herd variances on dairy cattle breeding schemes: a simulation study. Livest. Prod. Sci. 33:31-41.
  17. Wei, M., and J.H.J. van der Werf. 1993. Animal model estimation of additive and dominance variances in egg production traits of poultry.  J. Animal Sci. 71:57-65.
  18. Kennedy, B., T.H.E. Meuwissen, and J.H.J. van der Werf. 1993. Genetic and statistical properties of residual feed intake. J. Animal Sci. 71:3239-3250.
  19. Hovenier, R., E.W. Brascamp, E. Kanis, J.H.J. van der Werf, and A.P.A.M. Wassenberg. 1993. Economic values of optimum traits; The example of meat quality in pigs. J. Animal Sci. 71:1429-1433.
  20. Janss, L.L.G., and J.H.J. van der Werf . 1993. Identification of a major gene in F1 and F2 data when alleles are assumed fixed in  the parental lines.  Genet. Sel. Evol. 24:511-526.
  21. Van der Werf, J.H.J., T.H.E. Meuwissen, and G. De Jong. 1994. Effects of correction for heterogeneity of variance on bias and accuracy of breeding value estimation in Dutch dairy cattle. J. Dairy Sci. 77:3174-3184.
  22. Buis, R.C., J.K. Oldenbroek, and J.H.J. van der Werf. 1994. Preserving genetic variance resources in commercial and non-commercial populations. Neth. J. Agric. Sci.: 42-1:29-36.
  23. Wei, M and J.H.J. van der Werf. 1994. Combined crossbred and purebred selection to maximize genetic response in crossbreds. Anim. Prod. 59:401-413.
  24. Koerhuis, A.N.M., and J.H.J. van der Werf. 1994. Uni- and bivariate breeding value estimation in a simulated horse population under sequential selection. Livest. Prod. Sci. 40:207-213.
  25. Hoekstra, J., A.W. van der Lugt, J.H.J. van der Werf, and W. Ouweltjes. 1994. Genetic and phenotypic parameters for milk production and fertility traits in upgraded dairy cattle. Livest. Prod. Sci.40:225-232.
  26. Meuwissen. T.H.E., B. Engel and J.H.J. van der Werf. 1995. Maximizing selection efficiency for a categorical trait. J. Animal Sci. 73:1933-1939.
  27. Wei, M. and J.H.J. van der Werf. 1995. Genetic correlation and heritabilities for purebred and crossbred performance in poultry egg production traits. J. Anim. Sci. 73:2220-2226.
  28. Janss, LLG, J.A.M. Van Arendonk and J.H.J. Van der Werf. 1995. Computing approximate monogenic model likelihoods in large pedigrees with loops. Gen. Sel. Evol. 27:481-584
  29. Tancin, V., G.J. Garssen, T. van der Lende and J.H.J. van der Werf. 1996. Evidence for stress mediated high progesterone release in prepubertal calves. Domestic Animal Reproduction.
  30. Van der Werf, J.H.J. J.K.Oldenbroek, L Jonker and J.I.D. Wilkinson. 1998. Effect of monensin (Romensin) on milk production efficacy in Holstein and Jer¬sey cows. J. Dairy Sci. 81:427-433.
  31. Van der Werf, J.H.J., E.H. Van der Waaij, A.F. Groen and G. de Jong. 1998. An index for beef and veal characteristics in dairy cattle based on carcass traits. Livest. Prod. Si. 54:11-20.
  32. Van der Werf, J.H.J., M.E. Goddard and K. Meyer. 1998. The Use of Covariance Functions and Random Regression for Genetic Evaluation of Milk Production based on Test Day Records. J. Dairy Sci. 81:3300-3308.
  33. Banks, R.G., J.H.J. van der Werf and B.P. Kinghorn. 1998. Optimal use of young and old sires in sheep breeding.. Wool techn. & Sheep Breeding. Vol 46(3): 218-223.
  34. Hirooka, H., A.F. Groen and J.H.J. van der Werf. 1998. Estimation of additive and non-additive genetic parameters for carcass traits on bulls in dairy, dual purpose and beef cattle breeds. Livest. Prod. Sci. 54: 95-106.
  35. Nieuwhof, G.J.A.H. ,Visscher, B. Engel, J.H.J. Van der Werf, F.H. De Jong, M. Dijkstra. 1998. Identification of early predictors of carriers of the Booroola gene in sheep using a mixed inheritance model. Animal Science 67:317:325.
  36. S.A. Meszaros, R.G. Banks, J.H.J. van der Werf & M.E. Goddard. 1999.  Optimising age structure in breeding populations when inbreeding depresses genetic gain through effects on reproduction. Animal Science: 68:449-457.
  37. Veerkamp, R.F., J.K. Oldenbroek, H.J. van der Gaast and J.H.J. van der Werf. 2000. Genetic Correlations between days until start of luteal activity and milk yield, energy balance and live weights. J. Dairy Science 83:577-583.
  38. Marshall, K.J., J. Henshall and  J.H.J. van der Werf. 2002. Response from marker assisted selection when various proportions of animals are marker typed: a multiple trait simulation study relevant to the sheepmeat industry.   Animal Science 74:223-232.
  39. Abbass, H.A., Michael Towsey, Erhan Kozan and Julius Van der Werf. 2003. Genetic Algorithms for a Large Scale Dynamic Allocation Problem. J. of Applied Systems Studies. Vol. 4:2
  40. Marshall, K.J., J.H.J. van der Werf. and J Henshall 2004. Exploring major gene - marker phase typing strategies in marker assisted selection schemes.  Animal Science. 78:213-227.
  41. Lee, S. and J.H.J. van der Werf. 2004. Efficient designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage. Genet. Sel. Evol. 36:145-161.
  42. Fischer, T.M., A.R. Gilmour and J.H.J. van der Werf.   2004 Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML. Genet. Sel. Evol. 36 (2004) 363-369.
  43. Van der Werf, J.H.J. 2004. Is it useful to define residual feed intake as a trait in animal breeding programs? Austr. J. Exp. Agric. 44(5) 405 - 409
  44. Wood, B.J. J.A. Archer and J.H.J. van der Werf.  2004. Response to selection in beef cattle using IGF-1 as a selection criterion under different breeding objectives. Livestock Production Science 91: 69-81.
  45. Khusro  M, J.H.J. van der Werf, D. Brown and A. Ball. 2004. Heritability of parasite resistance and correlations with wool production traits based on merino field data. Livest. Prod. Sci. 91:35-44.
  46. Fischer, T.M., J.H.J. van der Werf, R.G. Banks, A.J. Ball  2004. Description of lamb growth using random regression on field data. Livest. Prod. Sci. 89 (2004) pp. 175-185
  47. Wood, B.J.  J.H.J. van der Werf, and P.F.Parnell  2004. Valuing DNA tested bulls for commercial beef production. Australian Journal of Agricultural Research 55, 825-831..
  48. Lee, S. and J.H.J. van der Werf. 2005 The role of pedigree information in combined linkage disequilibrium and linkage mapping of quantitative trait loci in a general complex pedigree. Genetics 169: 455-466
  49. Lee, S., J.H.J. van der Werf and B. Tier. 2005. Combining the meiosis Gibbs sampler with the random walk approach for linkage and association studies with a general complex pedigree and multi marker loci. Genetics – 171:2063-2072.
  50. Asadi-Fozi, M., J.H.J. van der Werf and A.A. Swan.  2005. The importance of accounting for maternal genetic effects in Australian fine wool merino breeding. Australian Journal of Agricultural Research. 56:789-796.
  51. Lee, S., J.H.J. van der Werf.  2006. An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree. Genet. Sel. Evol.38: 25-43.
  52. Li, Y., J.H.J. van der Werf and B. P. Kinghorn. 2006. Optimization of a crossing system using mate selection. Genet. Sel. Evol. 38: 147-165
  53. Fischer, T.M., J.H.J. van der Werf, R.G. Banks, A.J. Ball and A. Gilmour. 2006. Genetic analysis of weight, fat and muscle depth in growing lambs using random regression models. Animal Science 82: 13–22.
  54. Van der Werf. , J.H.J. 2006. Optimal development of Australian sheep genetic resources. International Journal of Sheep and Wool Science: Vol. 54: No. 1, Paper 3, pp. 17-21. http://sheepjournal.une.edu.au/sheepjournal/vol54/iss1/paper3
  55. Fogarty,  N.M., E. Safari, A.R. Gilmour, V.M. Ingham, K.D. Atkins, S.I. Mortimer, A.A. Swan, F.D. Brien, J.C. Greeff and J.H.J. van der Werf.  2006. Wool and meat genetoics – the joint possibilities. International Journal of Sheep and Wool Science: Vol. 54: No. 1, Paper 3, pp. 22-27. http://sheepjournal.une.edu.au/sheepjournal/vol54/iss1/paper4
  56. Lee, S., J.H.J. van der Werf.  2006. Simultaneous fine mapping of multiple closely linked quantitative trait loci using combined linkage disequilibrium and linkage. Genetics –173: 2329-2337
  57. Lee, S., J.H.J. van der Werf. 2006. Using dominance relationship coefficients based on linkage disequilibrium and linkage with a general complex pedigree to increase mapping  resolution. Genetics 174: 1009-1016.
  58. Asadi-Fozi, M., J.H.J. van der Werf and A.A. Swan. 2007. Inclusion of skin follicle traits in selection indices in breeding programs improves genetic gain in Australian fine-wool Merinos. Journal of Agricultural Research 58: 921-927.
  59. Safari, E., N.M. Fogarty, A.R. Gilmour, K.D. Atkins, S.I. Mortimer, A.A. Swan, F. Brien, J.C. Greeff and J.H.J. van der Werf. 2007 Across population genetic parameters for wool, growth and reproduction traits in Australian Merino sheep 1. Data structure and non-genetic effects. Australian Journal of Agricultural Research 58(2) 169–175
  60. Safari, E., N.M. Fogarty, A.R. Gilmour, K.D. Atkins, S.I. Mortimer, A.A. Swan, F. Brien, J. C. Greeff  and J.H.J. van der Werf. 2007 Across population genetic parameters for wool, growth and reproduction traits in Australian Merino sheep 2. Estimates of heritability and variance components. AJAR. Australian Journal of Agricultural Research 58(2) 177–184
  61. Thompson, P.N., J.H.J. van der Werf, J.A.P. Heesterbeek and J.A.M. van Arendonk. 2007. The CHRNE 470del20 mutation causing congenital myasthenic syndrome in South African Brahman cattle: prevalence, origin, and association with performance traits. J. Anim. Sci. doi: 10.2527/jas.2006-379
  62. Van der Werf. , J.H.J., S. Lee and K.L. Marshall. 2007. Methods and experimental designs for detection of QTL in sheep and goats. In: Baker, L. Notter, D and Cockett, N. (Eds). 'The Outlook of Quantitative and Molecular Genetic Applications in Improving Sheep and Goats'. Small Ruminant Research 70 :1–31
  63. Safari, E. , N.M. Fogarty, A.R. Gilmour, K.D. Atkins, S.I. Mortimer, A.A. Swan, F. Brien, J.C. Greeff and J.H.J. van der Werf. 2007. Genetic correlations among and between wool, growth and reproduction traits in Merino sheep. J. Anim. Br. Genet. 124:65:72
  64. Kijas, J.W, R. McCulloch, J.E.H. Edwards, V.H. Oddy, S.H. Lee, J.H.J. van der Werf. 2007. Evidence for multiple alleles effecting muscling and fatness at the Ovine GDF8 locus. BMC Genetics 8:80
  65. Lee, S.H. and J.H.J. van der Werf. 2007. Fine mapping of multiple interacting quantitative trait loci using combined linkage disequilibrium and linkage information. Journal of Zhejiang University Science B 8: 787-791.
  66. Lee, S. H. and J.H.J. van der Werf. 2008. Simultaneous fine mapping of closely linked epistatic quantitative trait loci using combined linkage disequilibrium and linkage with a general pedigree. Genetic Selection Evolution. 40 (2008) 265–278
  67. Lee, S., J.H.J. van der Werf and B.P. Kinghorn. 2008. Using an evolutionary algorithm and parallel computing for haplotyping in a general complex pedigree with multiple marker loci. BMC Bioinformatics. BMC Bioinformatics 9:189.
  68. Lee, S.H., J.H.J. van der Werf, B. Hayes, M.E. Goddard and P.M. Visscher. 2008. Predicting unobserved phenotypes for complex traits from whole genome SNP data. PLoS Genetics.  4(10): e1000231. doi:10.1371/journal.pgen.1000231.
  69. Bolormaa, S., A. Ruvinsky, S. Walkden-Brown, and J.H.J. van der Werf. 2008. Genetic relationships among Australian and Mongolian fleece-bearing goats. Asian-Aust. J. Anim. Sci. 21 (11):1535-1543..
  70. Greeff, J.C., E. Safari, N.M. Fogarty, D.L. Hopkins, F.D. Brien, K.D. Atkins, S.I. Mortimer, J.H.J. van der Werf (2008) Genetic parameters for carcass and meat quality traits and their relationships to liveweight and wool production in hogget Merino rams. J. Animal Breeding and Genetics 125 (3) , 205–215.
  71. Safari, E., N.M. Fogarty, D.L. Hopkins, J.C. Greeff, F.D. Brien, K.D. Atkins, S.I. Mortimer, P.J. Taylor & J.H.J. van der Werf. 2008. Genetic correlations between ewe reproduction and carcass and meat quality traits in Merino sheep. J. Animal Breed. & Genet. 125:  397–402
  72. Bolormaa, S., A. Ruvinsky, S. Walkden-Brown and J.H.J. van der Werf. 2008. DNA-based parentage verification in two Australian goat herds. Small Ruminant Research. 80: 95-100.
  73. Li, Y., J.H.J. van der Werf and B.P. Kinghorn. 2008. Optimal utilization of a non-additive quantitative traits locus in animal breeding programs. J. Anim. Breed. & Genet. 125: 342:350.
  74. Marshall, K., J. Maddox, S. Lee, Y. Zhang, L. Kahn, H.-U. Graser, C. Gondro, S. Walkden-Brown and J.H.J. van der Werf. 2009. Genetic mapping of quantitative trait loci for resistance to Haemonchus contortus in sheep. Animal Genetics 40:262 – 272.
  75. Konstantinov, K.V., K.T. Beard, M. E. Goddard and J.H.J. van der Werf. 2009. Genetic evaluation of Australian dairy cattle for somatic cell scores using multi-trait random regression test-day model. J. Anim. Breed. Genet. 126: 209-215.
  76. Bolormaa, S., M. Olayemi, J. van der Werf, N. Baillie, L.F. Le Jambre, A. Ruvinsky and S.W. Walkden-Brown. 2010. Estimates of genetic and phenotypic parameters for production, haematological and gastrointestinal nematode-associated traits in Australian Angora goats. Anim. Prod. Sci. 50: 25-36
  77. Bolormaa, S., J.H.J. van der Werf, S.W. Walkden-Brown, K Marshall, & A. Ruvinsky. A quantitative trait locus for faecal worm egg and blood eosinophil counts on chromosome 23 in Australian goats. 2010. Journal of Animal Breeding and Genetics, 127: 207–214.
  78. Lee, S.H., M. E. Goddard, P. M. Visscher, and J.H.J. van der Werf. 2010. Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits. Genetics, Selection and Evolution 42:22.
  79. Lee, S-H., J. H. J. van der Werf, S. H. Lee, E. W. Park, S. J. Oh, J. P. Gibson,and J. M. Thompson. 2010. Genetic polymorphisms of the bovine Fatty acid binding protein 4 gene are significantly associated with marbling and carcass weight in Hanwoo (Korean Cattle) Animal Genetics  41 442–444.
  80. Lee S-H., Gondro, C , J.H.J  van der Werf, , N-K Kim, D. Lim., Eung-Woo Park , Sung-Jong Oh , John P Gibson  and John M Thompson. 2010.  Use of a bovine genome array to identify new biological pathways for beef marbling in Hanwoo (Korean Cattle). BMC Genomics 2010, 11:623doi:10.1186/1471-2164-11-623
  81. Van der Werf, J.H.J., B. P. Kinghorn and R. G. Banks. 2010. Design and role of an information nucleus in sheep breeding programs. Animal Production Science, 2010, 50, 1–6
  82. Daetwyler, H.D.,  J. M. Hickey, J. M. Henshal, S. Dominik, B. Gredler,J. H. J. van der Werf and B. J. Hayes. 2010. Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population. 2010.. Animal Production Science, 50: 1004-1010.
  83. Mortimer, S.I.,  J. H. J. van der Werf, R. H. Jacob, D. W. Pethick, K. L. Pearce, R. D. Warner, G. H. Geesink, J. E. Hocking Edwards, G. E. Gardner, E. N. Ponnampalam, S. M. Kitessa, A. J. Ball, D. L. Hopkins . 2010. Preliminary estimates of genetic parameters for carcass and meat quality traits in Australian sheep. Animal Production Science. 50: 1135 – 1144
  84. Brien,  F.D., M. L. Hebart, D. H. Smith, J. E. Hocking Edwards, J. C. Greeff, K. W. Hart, G. Refshauge, T. L. Bird-Gardiner, G. Gaunt, R. Behrendt, M. W. Robertson, G. N. Hinch, K. G. Geenty, J. H. J. van der Werf. 2010. Opportunities for genetic improvement of lamb survival. Animal Production Science, 50: 1017 – 1025.
  85. Olayemi, M.E., S. Bolormaa, J. H. J. van der Werf, N. Baillie, L. F. Le Jambre, S. W. Walkden-Brown. 2011. Estimates of genetic and phenotypic parameters for production, haematological and gastrointestinal nematode-associated traits in Australian cashmere goats. Animal Production Science, 51: 123 – 134.
  86. Van Eenennaam,A.L., J.H.J. van der Werf and M.E. Goddard. 2011. The value of using DNA markers for beef bull selection in the seedstock sector. J. Animal Sci. 89: 307-320.
  87. Marshall, K. C. Quiros-Campos, J.H.J. van der Werf, and B. P. Kinghorn. 2011. Marker-based selection within smallholder production systems in developing countries. Livestock Science, 2011, 136, 45–54.
  88. Suontama, M, van der Werf, J.H.J., Juga J, and Ojala, M. 2011. The use of foal and studbook traits in the breeding programmes of Finnhorse and Standardbred trotters. J. Animal Breed. Genet. 128:114-123.
  89. Hickey, J.M., Kinghorn, B.P., Tier, B., Wilson, J.F., Dunstan, N., and van der Werf, J.H.J. 2011.  A combined long-range phasing and long haplotype imputation method to impute phase for SNP genotypes. Genetics Selection Evolution 2011, 43:12. http://www.gsejournal.org/content/43/1/12
  90. Lee, S-H.,  J. H. J. van der Werf, Nam Kuk Kim, Sang Hong Lee, C. Gondro, Eung Woo Park, Sung Jong Oh, J. P. Gibson and J. M. Thompson. 2011. QTL and gene expression analyses identify genes affecting carcass weight and marbling on BTA14 in Hanwoo (Korean Cattle). Mammalian Genome22:589-601. DOI 1.1007/s00335-011-9331-9
  91. Clark, S., Hickey, J.M., van der Werf, J.H.J. 2011. Different models of genetic variation and their effect on genomic evaluation. Genetics Selection Evolution, 43:18.
  92. Hayes, BJ, PJ. Bowman, HD. Daetwyler, JW. Kijas and J.H.J. van der Werf, 2011.Accuracy of genotype imputation in sheep breeds  Animal Genetics. 43, 72–80.
  93. Suontama, M, J .H.J. van der Werf, J. Juga and M. Ojala. 2012. Genetic parameters for racing records in trotters using linear and generalized linear models. J. Animal Sci. 90, 2921-2930
  94. Hickey, J.M., B.P. Kinghorn, B.Tier, J.H.J. van der Werf and M.A. Cleveland. A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation Genetics Selection Evolution 2012, 44:9.
  95. Clark, S.A., J.M. Hickey, H.D. Daetwyler and J.H.J van der Werf. 2012. The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes. Genetics Selection Evolution 2012, 44:4.
  96. Daetwyler, H.D., K. Kemper, J.H.J van der Werf and B.J. Hayes. 2012 Components of the Accuracy of Genomic Prediction in a Multi-Breed Sheep Population. J. Animal Sci. 90:3375-3384; doi:10.2527/jas.2011-4557.
  97. Asadi Fozi, M., J. H. J. Van der Werf and A. A. Swan. 2012.  Genetic improvement of mean fibre diameter 1. Modelling genetic covariance structure across ages of mean fibre diameter using multivariate and random regression analysis. Animal Production Sci. Vol. 52 No. 11 Pages 1019 – 1026
  98. White, J.D., P.G. Allingham, C.M. Gorman, D.L. Emery, P. Hynd, J. Owens, A. Bell, J. Siddell, G. Harper, B. Hayes, H. D. Daetwyler, J. Usmar, M.E. Goddard, J.M. Henshall, S. Dominik, H. Brewer, J.H. J. van der Werf, F.W. Nicholas, R.Warner, C.Hofmyer, T.Longhurst, T.Fisher, P.Swan, R. Forage, V. H. Oddy. 2012. Design and phenotyping procedures for recording wool, skin, parasite resistance, growth, carcass yield and quality traits of the SheepGENOMICS mapping flock. Animal Production Sci., 52: 157 – 171.
  99. Hickey, J.M., B. P. Kinghorn, B. Tier, S. A. Clark, J. H. J. van der Werf and G. Gorjanc. 2012. Genomic evaluations using similarity between haplotypes. J. of Animal Breeding and Genetics. 130: 259–269.
  100. Daetwyler, H.D. A.A. Swan, J.H.J. van der Werf, B.J. Hayes. 2012. Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation. Genetics Selection Evolution 2012, 44:33
  101. Ebejer JL, Medland SE, van der Werf J, Gondro C, Henders AK, et al. (2012) Attention Deficit Hyperactivity Disorder in Australian Adults: Prevalence, Persistence, Conduct Problems and Disadvantage. PLoS ONE 7(10): e47404. doi:10.1371/journal.pone.0047404.
  102. Suontama, M., J.H.J. van der Werf, J. Juga, M. Ojala. 2013. Genetic correlations for foal and studbook traits with racing traits and implications for selection strategies in the Finnhorse and Standardbred trotter. J. Animal Breed. Genet. 130:178-189.
  103. Hickey, J.M., B.P. Kinghorn, B. Tier, S.A. Clark, J.H.J. van der Werf and G. Gorjanc. 2013. Genomic evaluations using similarity between haplotypes. J Animal Breeding and Genetics  130: 259–269.
  104. Clark, S.A.,  B. P. Kinghorn, J.M. Hickey and J. H.J. van der Werf. 2013. The effect of genomic information on optimal contribution selection in livestock breeding programs. Genetics Selection Evolution 2013, 45:44
  105. Ebejer, J.L., D. L. Duffy, J.H.J. van der Werf, M. J. Wright, G. Montgomery, N. A. Gillespie, I. B. Hickie, N. G. Martin, S. E. Medland. 2013.  Genome-Wide Association Scan Of Inattention And Hyperactivity-Impulsivity Measured As Quantitative Traits. Twin Research And Human Genetics. 16(2), 560-574
  106. Flores, E.B., Brian P. Kinghorn, Julius van der Werf. (2013) Predicting lactation yields in dairy buffaloes by interpolation and multiple trait prediction. Livestock Science 151: 97–1
  107. Rose, G, A. Kause, H.A. Mulder, J.H.J. van der Werf , A.N. Thompson, MB Ferguson and J.A.M van Arendonk. 2013. Merino ewes can be bred for body weight change to be more tolerant to uncertain feed supply. J. Animal Sci. 91:2555-2565.
  108. Ebejer, J.L.,  S. E. Medland, J.HJ. van der Werf, M. Lynskey, N. G. Martin and D. L. Duffy. 2013. Variation in Latent Classes of Adult Attention–Deficit Hyperactivity Disorder by Sex and Environmental Adversity. Journal of Attention Disorders.  doi: 10.1177/1087054713506261.
  109. Geenty K.G.,  F. D. Brien, G. N. Hinch, R. C. Dobos, G. Refshauge, M. McCaskill, A. J. Ball, R. Behrendt, K. P. GoreG D. B. Savage, S. Harden, J. E. Hocking-Edwards, K. Hart and J. H. J. van der Werf. 2014. Reproductive performance in the Sheep CRC Information Nucleus using artificial insemination across different sheep-production environments in southern Australia. Animal Production Science: 54, 715–726
  110. Moghaddar, N., A.A Swan and JHJ van der Werf. 2014. Genomic prediction of weight and wool traits in a multibreed sheep population. Animal Production Science - Animal Production Science, 54, 544–549.
  111. Newton,  J.E., D.J. Brown, S. Dominik  and J.H.J. van der Werf. 2014. Genetic and phenotypic parameters between yearling, hogget and adult reproductive performance and age of first oestrus in the ewe progeny of the Information Nucleus Flock. Animal Production Science 54, 753–761.
  112. Horton, B., J.H.J. van der Werf and R.G. Banks 2014. Industry benefits from using genomic information in two and three-tier sheep breeding systems. Animal Production Science  55, 437–446.
  113. Ferdosi, M.F., B.P. Kinghorn, J. H J van der Werf and C. Gondro. 2014. Detection of recombination events, haplotype reconstruction and imputation of sires using half-sib SNP genotypes. Genetics Selection Evolution 2014, 46:11.
  114. Ferdosi, H.H., B. P. Kinghorn, J.H.J. van der Werf, S.H. Lee and C. Gondro. (2014) hsphase: an R package for pedigree reconstruction, detection of recombination events, phasing and imputation of half-sib family groups. BMC Bioinformatics 2014, 15:172.
  115. Rose, G, H.A. Mulder, A.N. Thompson, J.H.J. van der Werf and J.A.M van Arendonk. 2014. Varying pasture growth and wool, meat and grain prices change the value of sheep breeding goal traits. Agricultural Systems 131: 94–104.
  116. Rose, G, H.A. Mulder, A.N. Thompson, J.H.J. van der Werf and J.A.M van Arendonk. 2014. Genetic correlations between bodyweight change and reproduction traits in Merino ewes depend on age. J. Anim Sci 92:3249-3257
  117. Mortimer, S.I., van der Werf, J.H.J, Jacob, R.H., Hopkins, D.L., Pannier, L., Pearce, K.L., Gardner, G.E., Warner, R.D., Geesink, G.H., Hocking Edwards, J.E., Ponnampalam, E.N., Ball, A.J., Gilmour, A.R., Pethick, D.W.  (2014). Genetic parameters for meat quality traits of Australian lamb meat. Meat Science, 96 (2 Part B), 1016-1024.
  118. Moghaddar, N. , A.A. Swan  and J.H.J. van der Werf. 2014. Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep. Genetics Selection Evolution: 46:58.
  119. Cantet,RJC,  OF Christensen, M Pérez‐Enciso, JHJ van der Werf. 2014. 10th WCGALP in beautiful Vancouver. Journal of Animal Breeding and Genetics 131 (5), 409-412.
  120. Moghaddar, N. A.A. Swan  and J.H.J. van der Werf. 2014. Comparing genomic prediction accuracy from purebred and combined purebred and crossbred reference populations in sheep. Genetics Selection Evolution. 46:58.
  121. Ebejer, JL, SE Medland, J. van der Werf, MJ Wright, AK Henders, NA Gillespie, IB Hickie, NG Martin and DL Duffy. 2015.  Contrast Effects and Sex Influence Maternal and Self-Report Dimensional Measures of Attention-Deficit Hyperactivity Disorder. Behav Genet (2015) 45:35–50
  122. Van Grevenhof, E.M. and J.H.J. van der Werf. 2015. Design of Reference Populations for Genomic Selection in Crossbreeding. Genetics Selection Evolution 47:14.
  123. Granleese T. , S.A. Clark, A.A. Swan and  J.H.J. van der Werf. 2015. Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values. Genetics Selection Evolution 47:70.
  124. Rose, G, H.A. Mulder, A.N. Thompson, J.H.J. van der Werf and J.A.M van Arendonk. 2015. Breeding objectives for sheep should be customized depending on variation in pasture growth across years. Animal 9:1268-1277.
  125. Tongsiri, S., M.G. Jeyaruban and J.H.J. Van Der Werf. 2015. Genetic parameters for egg production traits in purebred and hybrid chicken in a tropical environment. British Poultry Science, 2015.In Press.
  126. Bolormaa S, K. Gore, J. H. J. van der Werf, B. J. Hayes and H. D. Daetwyler. 2015. Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy. Animal Genetics. 46: 544–556.
  127. Bolormaa, S., B.J. Hayes, J.H.J.  van der Werf, D. Pethick, M.E. Goddard and H.D. Daetwyler. Detailed phenotyping identifies genes with pleiotropic effects on body composition. BMC Genomics: In Review.
  128. Lee, L.H. and J.H.J. van der Werf. 2015. MTG2: An efficient algorithm for multivariate linear mixed model analysis based on genomic information. Bioinformatics. In Review.
  129. Moghaddar, N, KP Gore, HD Daetwyler, BJ Hayes and JHJ van der Werf. 2015. Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction. Genetics Selection Evolution 47:70.
  130. Flores, E.B. and Werf, J.H.J., 2015. Random regression test day models to estimate genetic parameters for milk yield and milk components in Philippine dairy buffaloes. Journal of Animal Breeding and Genetics, 132:289-300.
  131. Swan, A.A., Brown, D.J. and van der Werf, J.H., 2016. Genetic variation within and between subpopulations of the Australian Merino breed. Animal Production Science, 56(1), pp.87-94.
  132. Lee, S.H. and van der Werf, J.H.J., 2016. MTG2: An efficient algorithm for multivariate linear mixed model analysis based on genomic information. Bioinformatics, p.btw012.

Refereed Conference Papers

  1. Van der Werf, J.H.J., and W. de Boer. 1988. Estimation of genetic parameters for milk production traits in a crossbred population.  In: S. Korver, H.A.M. van der Steen, J.A.M. van Arendonk, H. Bakker, E.W. Brascamp, J. Dommerholt (eds.): Advances in Animal Breeding. pg. 170 171 Pudoc, Wageningen
  2. Van der Werf, J.H.J. 1990. A note on the use of conditional models to estimate additive genetic variance in selected populations. Proc. 4th World Congr. Genet. Appl. Livest. Prod., Edinburgh, XIII: 476 479.
  3. Van der Werf, J.H.J. 1990. Influence of non additive effects on genetic parameters of milk yield.  Proc. 4th World Congr. Genet. Appl. Livest. Prod., Edinburgh, XIV:118 121.
  4. Wei, M., and J.H.J. van der Werf. 1990. Selection methods using purebred and crossbred performance.  Proc. 4th World Congr. Genet. Appl. Livest. Prod., Edinburgh, XIII: 289 292.
  5. Van Arendonk, J.A.M., H. Vos, and J.H.J. van der Werf. 1991  Genetic aspects of feed intake and efficiency in dairy cows. Proc. 9th conference AAABG in Melbourne, Australia. 144 150
  6. Van der Werf, J.H.J., M. Wei, and E.W. Brascamp. 1994. Combined crossbred and purebred selection to maximize genetic response in crossbreds. Proc. 5th World Congr. Genet. Appl. Livest. Prod. Guelph, Vol. 18:266-269
  7. Kruip,T.A.M. J.H.J. van der Werf and T. Wensing. 1996. Energy balance in early lactation of high producing dairy cows and its relation to reproduction, health and welfare. in: Groen et al (eds.) Utilization of local feed resources. WIAS Symposium, Sept 29 1995, Wageningen.
  8. Van Arendonk, J.A.M., A.F. Groen. J.H.J. van der Werf and R.F. Veerkamp. 1996. Genetic aspects of feed intake and efficiency in lactating dairy cows. in: Groen et al (eds.) Utilization of local feed resources. WIAS Symposium, Sept 29 1995, Wageningen.
  9. Meszaros, S., J.H.J. van der Werf and R.G. Banks. 1998. Genetic algorithms in optimizing sheep breeding programs.  Proc. 6th  World Congr. Genet. Appl. Livest. Prod. Armidale. Vol. 25:415-418.
  10. Van der Werf, J.H.J. and M.E. Goddard. 1998. Transformation of random regression models to reduced rank. Proc. 6th  World Congr. Genet. Appl. Livest. Prod. Armidale. Vol. 25:597-600.
  11. Clarke, B.E., J. Henshall and J.H.J. van der Werf. 1998. Comparison of methods of calculating genotype probabilities with and without genetic marker information. Proc. 6th  World Congr. Genet. Appl. Livest. Prod. Armidale. Vol. 26: 349-352
  12. Banks, R.G., J.H.J. van der Werf and B.P. Kinghorn. 1998. Optimal sire use policies in sheep breeding. . Proc. 6th  World Congr. Genet. Appl. Livest. Prod. Armidale. Vol. 24: 15-18.
  13. Van der Werf, J.H.J, F.J. Verburg, F.L. Harders, G.J. Garssen, and M.F.W. te Pas. 1998. Influence of genetic variants of bovine growth hormone on milk productivity. Biotechnology, Agronomy, Society et Environment.Vol.2 (special issue); page 3. Fac. Univ. des Sciences Agron. de Gembloux (Belgium).
  14. Van der Werf, J.H.J. 1999. Comparison of optimal selection strategies for finite locus models involving marked quantitative trait loci. Proc. 13th Conf. of AAABG, Perth. 325-328.
  15. Van der Werf, J.H.J. and R.G. Banks. 1999.  Optimizing allocation of test places in multiple trait progeny testing schemes. Proc. 13th Conf. of AAABG, Perth. 397-400.
  16. Ahmad, M. and J.H.J. van der Werf. 1999. Additive and non-additive genetic effects in Friesian, Jersey and Sahiwal crosses in Pakistan.. Proc. 13th Conf. of AAABG, Perth.243-246.
  17. Marshall, K., J. Henshall, R.G. Banks and J.H.J. van der Werf. 1999. Finding major gene effects in Australian meat sheep – feasibility study for a Texel dataset. Proc. 13th Conf. of AAABG, Perth. 86-89.
  18. Meszaros, S., R.G. Banks and J.H.J. van der Werf. 1999. Optimum economic weights for an integrated dynamic crossbreeding system in sheep using evolutionary strategies. Proc. 13th Conf. of AAABG, Perth.122-125.
  19. Van der Werf, J.H.J. 2001.  Statistical properties of residual feed intake. In. Archer, J.A., R.M. Herd and P.F. Arthur. ISBN. 1863897275. Feed Efficiency in Beef Cattle. Proc. CRC for Beef Quality workshop (May 2000). Armidale.pp. 88-92.
  20. Van der Werf, J.H.J. 2001.  Use of covariance functions to select for changes in growth curves. Proc. 14th Conf. Of AAABG, Queenstown. 381-384.
  21. Moser, G. and Van der Werf, J.H.J. 2001.  Multi-trait analyses to detect multiple interacting quantitative trait loci using a genetic algorithm. Proc. 14th Conf. Of AAABG, Queenstown. 405-408.
  22. Marshall, K. J. Henshall and J.H.J. van der Werf. 2001. Reducing the cost of marker typing: a simulation study relevant to the meat sheep industry. Proc. 14th Conf. Of AAABG, Queenstown. 305-308.
  23. Fulloon, O.A., A.A. Swan, L.R. Piper and. J.H.J. van der Werf. 2001. Comparison of subjective assessment and objective measurement for the classing of fine wool merinos. Proc. 14th Conf. Of AAABG, Queenstown. 513-516.
  24. Li, Y., J.H.J. van der Werf and B.P. Kinghorn. 2001. Optimization of selection for two identified quantitative loci. Proc. 14th Conf. Of AAABG, Queenstown. 265-268
  25. Olayemi, M.E., S.  Walkden-Brown, J.H.J van der Werf and L. Le Jambre. 2001. Preliminary analysis of sire effects on resistance to gastrointestinal nematode infection in angora and cashmere goats . 14th Conf. Of AAABG, Queenstown. 203-206.
  26. Wood, B.J., J.A. Archer, J.H.J. van der Werf. 2002. Genetic And Economic Evaluation Of Igf-1 As An Indirect Selectioncriterion In Beef Cattle Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 02-26
  27. Kosgey, I.S., J.H.J. van der Werf, B.P. Kinghorn, J.A.M. van Arendonk , R.L. Baker. 2002. Alternative Breeding Schemes For Meat Sheep In The Tropics  Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 23-14
  28. Van der Werf, J.H.J. 2002. Optimising selection for traits along trajectories Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 16-07
  29. Marshall, K. , J.M. Henshall, J.H.J. van der Werf. 2002 The effect of the level of connectivity within a breeding nucleus on response from marker assisted selection. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 22-16.
  30. Olayemi, M.E., S.W. Walkden-Brown, J.H.J. van der  Werf, L.F. Le Jambre 2002. Genetic variability of resistance indicators for gastrointestinal nematode infection in angora and cashmere goats. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 13-30.
  31. Fischer, T.M., J.H.J. van der Werf. 2002. Effect Of Data Structure On The Estimation Of Genetic Parameters using Random Regression. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Comm. 17-08.
  32. Li, Y., J.H.J. van der Werf, B.P. Kinghorn 2002. Mate selection in parental lines to exploit known dominant QTL in crosses. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier (France). Communication 23-09.
  33. Lee, S. and J.H.J. van der Werf. 2003 Efficient designs for fine-mapping of quantitative trait loci using linkage disequilibrium and linkage. 15th Conf. Of AAABG, Melbourne. 9 – 12.
  34. Fischer, T.M., J.H.J. van der Werf, R.G. Banks and A.J. Ball. 2003 Description of lamb growth using random regression on field data. 15th Conf. Of AAABG, Melbourne. 210-213.
  35. M.E. Olayemi, M.E., S.W. Walkden-Brown, J.H.J. van der  Werf, L.F. Le Jambre 2003. Variability in gastrointestinal parasite resistance and productivity in Angora goats. 15th Conf. Of AAABG, Melbourne. 404 - 407.
  36. Van der Werf. , J.H.J. 2005. Optimal development of the Australian sheep genetic resources. Proc. Assoc. Advmt. Anim. Breed. Genet.16:176-179.
  37. Brash, L.D., J.H.J. van der Werf, Y. Li and B.J. Norris. 2005. Australian Piebald: incomplete penetrance or incomplete picture? Proc. Assoc. Advmt. Anim. Breed. Genet.16:188-191.
  38. Asadi Fozi, M., J.H.J. Van der Werf, and A.A. Swan. 2005. Heritabilities for skin follicle traits and their correlations with production traits in Australian fine wool Merino sheep. Proc. Assoc. Advmt. Anim. Breed. Genet.16:184-187.
  39. Khusro, M., D. J. Brown, J.H.J. Van der Werf and H -U. Graser. 2005. Breed differences and crossbreeding effects for liveweight traits in Australian meat sheep breeds.  Proc. Assoc. Advmt. Anim. Breed. Genet.16: 231-234
  40. Fischer, T.M. and J.H.J. van der Werf. 2005. Optimising selection on growth and carcase development trajectories in lamb. Proc. Assoc. Advmt. Anim. Breed. Genet.16:196-199.
  41. Wood, B.J., J.H.J. van der Werf and P.F. Parnell. 2005. Quantifying the selection response using a residual feed intake DNA marker for two Australian breeding objectives Proc. Assoc. Advmt. Anim. Breed. Genet.16: 169-172
  42. Lee, S.H., J.H.J. Van der Werf and B. Tier. 2005. Combining two Markov chain Monte Carlo approaches for linkage and association studies with a complex pedigree and multi marker loci Proc. Assoc. Advmt. Anim. Breed. Genet.16: 107-110.
  43. Safari, E., N.M. Fogarty, A.R. Gilmour, K.D. Atkins, S.I. Mortimer, A.A. Swan, F. Brien, J.C. Greeff and J.H.J. van der Werf. 2005. Preliminary genetic parameters for clean fleece weight, fibre diameter, hogget weight and number of lambs born in merinos. Proc. Assoc. Advmt. Anim. Breed. Genet.16:180-183.
  44. Marshall, K., J.H.J. van der Werf, J.F. Maddox, H.-U. Graser, Y. Zhang, S.W. Walkden-Brown and L. Kahn. 2005. A genome scan for quantitative trait loci for resistance to the gastrointestinal parasite Haemonchus contortus in sheep. Proc. Assoc. Advmt. Anim. Breed. Genet.16: 115-118.
  45. Van der Werf, J.H.J. 2006. Optimal development of the Australian sheep genetic resources. In: Cronje, P. and D. Maxwell (eds.). Proc. of the 2006 Austral. Sheep Industry CRC Conference, Orange, Australia. 30-34.
  46. Henshall, J.M., J.R. Hill and J.H.J. van der Werf. 2006. A new look at advanced reproduction techniques and their impact on livestock breeding.Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 18:1.
  47. Banks, R.G., J.H.J. van der Werf and J.P. Gibson. 2006. An integrated progeny test for the Australian sheep industry. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 30-12.
  48. Lee, S.H. and J.H.J. van der Werf. 2006. Fine mapping of multiple QTL using a reversible jump MCMC. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 21:8.
  49. Moghaddar, N., K. Marshall and J.H.J. van der Werf. 2006. Quantitative trait loci mapping for growth and wool traits in Australian merino sheep. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 5:10.
  50. Nimbkar, C., P.M. Ghalsasi, K.M. Chavan, M.H. Nalawade, S.W. Walkden-Brown, V.S. Gupta, V.C. Pardeshi and J.H.J. van der Werf. 2006. Lamb production by FecB heterozygous carrier and non-carrier ewes in smallholder flocks in Maharashtra state of India. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 4-03.
  51. Marshall, K., S.H. Lee and J.H.J. van der Werf. 2006. Information in linkage disequilibrium -linkage mapping in half sib designs. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil. Comm. No 21:9.
  52. Swan, A.A., J.H.J. van der Werf and K.D. Atkins. 2007. Developments in Breeding Objectives for the Australian Sheep Industry Proc. Assoc. Advmt. Anim. Breed. Genet. 17: 483-490
  53. Oddy, H.B., J. Dalrymple, J. McEwan, Kijas, B. Hayes, J.H.J. van der Werf, D. Emery, P. Hynd,  T. Longhurst, T. Fischer, D. Ferguson, R. Forage, N. Cockett and F. Nicholas. 2007.Sheepgenomics and the International Sheep Genomics Consortium Proc. Assoc. Advmt.Anim. Breed. Genet. 17: 411-417
  54. Walmsley, B.J., C. Gondro, J.H.J. van der Werf and B.P. Kinghorn. 2007. Optimising the Allocation of Beef Cattle to Market Endpoints. Proc. Assoc. Advmt. Anim. Breed. Genet. 17: 292-295
  55. Lee, S.H. and J.H.J. van der Werf. 2007. Fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage with general pedigrees. Invited paper for the Association for the Advancement of Animal Breeding and Genetics 17: 376-382.
  56. Van der Werf, J.H.J. 2008. Genetic Aspects of Booroola introgression in breeding programs. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  57. Nimbkar, C., Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., Gupta V. S., Pardeshi V.C., Maddox J.F., van der Werf J.H.J., Gray, G.D. and Walkden-Brown S.W. 2008. Biological and economic consequences of introgression of the FecB (Booroola) gene into Deccani sheep. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  58. Nimbkar, C., van der Werf J.H.J., Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., and Walkden-Brown S.W. 2008. Potential introgression pathways and strategies for wider utilization of the FecB gene in Maharashtra State and other parts of India. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  59. Goodswen, S.J., H.N. Kadarmideen, C. Gondro and J.H.J. van der Werf. 2009. A framework to link whole genome SNP association studies to systems genetics.  Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 454-457
  60. Cottle, D.J., J.H.J. van der Werf and R.G. Banks. 2009. Is methane production likely to be a future Merino selection criterion? Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 516-519
  61. Geenty,K.G., J.H.J. van der Werf, K.P. Gore, A.J. Ball and S. Gill. 2009. A new system for collecting and processing phenotypic and genetic information from sheep for improved selection tools. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 560-563
  62. Moghaddar, N. and J.H.J. van der Werf . 2010. Effect of the accuracy of an estimated QTL effect on response to Marker-Assisted Selection. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 564-567
  63. Mortimer,S.I., K.L. Pearce, R.H. Jacobs, D.L. Hopkins, R.D. Warner, G.H. Geesink, J.E. Hocking Edwards, D.W. Pethick, L.H.J. van der Werf and A.J. Ball. 2009. The Information Nucleus - Genetically Improving Australian Lamb Production. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 426-429.
  64. Banks, R.G.  and J.H.J. van der Werf.  2009. Economic evaluation of whole genome selection using meat sheep as a case study. Proc. Assoc. Advmt. Anim. Breed. Genet. 1: 430-433.
  65. Pryce, J.E., J.H.J. van der Werf, M. Haile-Mariam, B. Malcolm and M.E. Goddard. 2009. Updated index weights for the Australian Profit Ranking in dairy cattle. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 143-146
  66. Brien, F.D., M.L. Hebart, J.E. Hocking-Edwards, J.C. Greeff, K.W. Hart, G. Refshauge, G. Gaunt, R. Behrend, K. Thomson, G.N. Hinch, K.G. Geenty and J.H.J. van der Werf. 2009.  Genetics of lamb survival: preliminary studies of the Information Nucleus Flock. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 108-111
  67. Hickey, J.M. B.P. Kinghorn, B. Tier and J.H.J. van der Werf. 2009.  Phasing of SNP data by combined recursive long range phasing and long range haplotype imputation. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 72-75
  68. Kinghorn,B.P., J.M. Hickey and J.H.J. van der Werf. 2009. A recursive algorithm for long range phasing of SNP genotypes. Proc. Assoc. Advmt. Anim. Breed. Genet. 1: 76-79
  69. Van der Werf. J.H.J., 2009.  Potential benefit of genomic selection in sheep. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 38-41.
  70. Gudex,B.W., C. Gondro, K. Marshall and J.H.J. van der Werf. 2009.  The genetics of sexual dimorphism in sheep. Proc. Assoc. Advmt. Anim. Breed. Genet. 18: 14-17.
  71. Lee S.H. and Van der Werf J.H.J. 2007. Fine mapping of multiple interacting quantitative trait loci using combined linkage disequilibrium and linkage information. Proc. World Confer. on Quantitative Genetics, China.
  72. Moghaddar, N., J.H.J. van der Werf. 2007. Effect of Inaccuracy on Estimation of QTL Parameters on Genetic Response to QTL-Assisted Selection in farm animals. Proc. World Confer. on Quantitative Genetics, China.
  73. Kinghorn, B.P., J.M. Hickey and  J.H.J. van der Werf. 2010. Reciprocal recurrent genomic selection for total genetic merit in crossbred individuals.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0036.
  74. Van der Werf, J.H.J, Kinghorn, B.P. and Banks, R.G.  2010. A genomic information nucleus to accelerate rates of genetic improvement in sheep.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production.  Paper 0046.
  75. Hickey, J.M., Kinghorn, B.P. Cleveland, M.A., B. Tier, and  J.H.J. van der Werf. 2010. Recursive long range phasing and long haplotype library imputation: building a global haplotype library for Holstein cattle.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0934.
  76. Slack-Smith, A., B.P. Kinghorn, J.M. Hickey and J.H.J. van der Werf. 2010.  The accuracy of genomic selection in predicting carcass traits in meat sheep.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0948.
  77. Clark, S., J.M. Hickey and J.H.J. van der Werf. 2010.  How Would Different Models of Genetic Variation Affect Genomic Selection?  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0948.
  78. Gudex B., Walmsley B., Gondro C., van der Werf J.H.J. 2010.  The Influence of Sexual Dimorphism on the Feed Efficiency of Lamb Production.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0680.
  79. *Van Eenennaam A., van der Werf J., Goddard M.J. 2010.  Value of DNA Information for Beef Bull Selection.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0094
  80. Goodswen S., Gondro C., Kardarmideen H., van der Werf J.H.J. 2010.  Evaluating Haplotype Diversity Within and between Australian Sheep Breeds.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. PP3-84
  81. *Flores E.B., and J.H.J. van der Werf. 2011. Breeding objectives and breeding strategies for Philippine dairy buffalo.  Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 39-42.
  82. Mortimer, S.I., R.H. Jacob, R.D. Warner, K.L. Pearce, D.W. Pethick, J.H.J. van der Werf, A.J. Ball and D.L. Hopkins. 2011. Heritability estimates for retail colour stability of lamb meat. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 107-110.
  83. Brien, F.D., G.N. Hinch, J.H.J. van der Werf, D.J. Brown and A.A. Swan. 2011. Selection strategies for the genetic improvement of reproductive performance in sheep. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 151-158.
  84. Newton, J.E., S. Dominik, J.M. Henshall and J.H.J. van der Werf. 2011. Is there a relationship between temperament and internal parasite resistance in Merinos?  Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 179.182.
  85. Mortimer, S.I., A.A. Swan, R.H. Jacob, R.D. Warner, K.L. Pearce, D.W. Pethick, J.H.J. van der Werf, J.E. Hocking Edwards, G.H. Geesink, G.E. Gardner, A.J. Ball and D.L. Hopkins Proc. 2011. Genetic correlation estimates for lamb carcass composition. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 227-230.
  86. Clark, S.A., J.M. Hickey and J.H.J. van der Werf. 2011. The relative importance of information on unrelated individuals on the prediction of genomic breeding values. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 291-294.
  87. *Rose, G., A. Kause, J.H.J. van der Werf, A.N. Thompson, M.B. Ferguson and J.A.M. van Arendonk. 2011. Adult Merino ewes can be bred for live weight change to be more tolerant to climate change. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 311-314.
  88. Van der Werf, J.H.J., B.J. Horton and R .G. Banks. 2011.  Optimizing sheep breeding programs with genomic selection.  Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 315-322.
  89. Dominik, S. , J.H.J. van der Werf and R.G. Banks. 2011. The value of genomic selection for stud and commercial merino rams. Proc. Assoc. Advmt. Anim. Breed. Genet. 19:  323-326.
  90. Daetwyler, H.D., K.E. Kemper, J.H.J. van der Werf and B.J. Hayes. 2011. The importance of population structure on the accuracy of genomic prediction in a multi-breed sheep population. Proc. Assoc. Advmt. Anim. Breed. Genet. 19:  327-330.
  91. Swan, A.A., D.J. Brown, B. Tier, and J.H.J. van der Werf. 2011. Use of genomic information to estimate breeding values for carcass traits in sheep. Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 331-334.
  92. Massault, C., J. Henshall, C. Gondro and J.H.J. van der Werf. 2011. Towards a comprehensive recombination map of hotspots in sheep.  Proc. Assoc. Advmt. Anim. Breed. Genet. 19: 375-378.
  93. A.A. Swan, D.J. Brown, H.D. Daetwyler, B.J. Hayes, M. Kelly, N. Moghaddar and J.H.J. van der Werf.(2014) Genomic Evaluations in the Australian Sheep Industry. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  94. Van der Werf,  J.H.J., R.G. Banks,  S.A. Clark, S.J. Lee, H.D. Daetwyler, B.J. Hayes and A.A. Swan (2014) Genomic Selection in Sheep Breeding Programs. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  95. Using Genomics to Improve Reproduction Traits in Sheep(2014) H.D. Daetwyler, S. Bolormaa, K.E. Kemper, D. Brown, A.A. Swan, J.H.J. van der Werf, and B.J. Hayes. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  96. S.I. Mortimer, A.A Swan, D.J Brown and J.H.J. van der Werf (2014) Genetic Parameters Revisited for Ultrasound Scanning Traits in Australian Sheep. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  97. G. Rose, H.A. Mulder, J.H.J. van der Werf, and J.A.M van Arendonk. (2014) Optimal breeding strategies for sheep should consider climate variation. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  98. T. Granleese, S.A. Clark, J.HJ van der Werf (2014) Increased genetic gains in sheep breeding programs from using female reproductive technologies combined with genomic selection. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada.
  99. C.A. de Hollander, N. Moghaddar, K.R. Kelman, G.E. Gardner and J.H.J van der Werf (2014) Is Variation in Growth Trajectories genetically correlated with Meat quality Traits in Australian Terminal Lambs? Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  100. C. Esquivelzeta-Rabell, N. Moghaddar, S. Clark and J.H.J. van der Werf (2014). Estimating genomic variance explained per chromosome using pedigree and genomic data in sheep . Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada
  101. Moghaddar, J.H.J van der Werf (2014) Genomic estimation of additive and dominance genetic variance from genomic data and their effect on accuracy of genomic prediction of sheep. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production.  Vancouver, Canada.
  102. Bolormaa S, JHJ van der Werf, BJ Hayes, ME Goddard, and HD Daetwyler. 2015.Pleiotropic multi-trait genome wide association reveals putative candidate genes for fatty acid composition in Australian sheep.  . Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  103. Van der Werf,  JHJ, SA Clark and SH Lee. 2015. Predicting genomic selection accuracy from heterogeneous sources. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  104. Moghaddar N, AA Swan and JHJ van der Werf. 2015. Accuracy of genomic prediction for merino wool traits using high density marker genotypes. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  105. Clark SA, S.H. Lee  and JHJ van der Werf. 2015. Using genomic information to estimate genotype by environment interactions. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  106. Li Li, A Swan, DJ Brown and JHJ van der Werf. 2015 Australian sheep breeding values for worm egg count retain predictive power across flocks in the presence of GxE. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  107. Brown D.J. and JHJ van der Werf. 2015. Genetic correlations between purebred and crossbred performance of terminal sire sheep. Proc. Assoc. Advmt. Anim. Breed. Genet.21.
  108. Mortimer SI, AA Swan, L. Pannier, AJ Ball, RH Jacob, JHJ van der Werf  and DW Pethick. 2015. Genetic parameters for eating quality traits of Australian lamb. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  109. Granleese T,  SA Clark, AA Swan, JHJ van der Werf. 2015. Accountng for the cost of reproductive technologies during selection I sheep breeding programs.. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  110. Dakhlan A, N Moghaddar and JHJ. van der Werf. 2015. Genotype by birth or rearing type interaction  in merino sheep. Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  111. Esquivelzeta-Rabell C, N Moghaddar, S Clark and JHJ. van der Werf. 2015. Estimating the genetic (co)variance explained per chromosome for two growth traits using a half sib data structure in sheep.  . Proc. Assoc. Advmt. Anim. Breed. Genet. 21.
  112. Masault, C and JHJ van der Werf. 2015. Efficiency of a tactical phenotyping strategy for multistage selection   Proc. Assoc. Advmt. Anim. Breed. Genet. 21.

 Conference papers (Invited)

  1. Van Arendonk, J.A.M., and J.H.J. van der Werf. 1991. Genetic evaluation of auxiliary traits in dairy cattle.  Proc. of 23rd Int. Dairy Congr., Montreal, I:632-643.
  2. Van der Werf. J.H.J. 1991. Non additive effects in sire models for evaluation of dairy bulls based on records of crossbred progeny. Interbull Meeting Berlin.
  3. Van der Werf, J.H.J., J.A.M. van Arendonk, and A.G. de Vries. 1992. Improving selection of pigs using correlated characters. Proc. 43th Annu. Meeting of the EAAP, Madrid.
  4. Van der Werf. J.H.J. 1993. Animal models to estimate additive and dominance variance in poultry. DGFZ Genet. Stat. Ausschuss. Dresden.
  5. Van der Werf, J.H.J. 1995. Future trends in dairy cattle breeding –international perspective. International Seminar of A.I. Virtanen. Jan-17 1995. Helsinki. Finland.
  6. Van der Werf, J.H.J. 1995. Statistical software for mixed models used in animal breeding. In: Snijders, T.A.B. et al. Symposium Statistical Software, nr. 7, Nov.9, Utrecht. p.59-75.
  7. Kinghorn, B.P. and Van der Werf, J.H.J. 1998. Marker Assisted Selection: Integration with breeding programs. 26th International Conference on Animal Genetics. Auckland, N.Z. 9-14 August 1998. Plenary Lecture 14. page 10.
  8. Van der Werf, J.H.J. and B.P. Kinghorn. 2000. Use of new technologies in animal breeding to the Australian Industries. Int. Conf. of the Brazilian Braford organization. Porto Allegre, Brazil. Jun 18-20.
  9. Van der Werf, J.H.J. and K.Marshall. 2004. Combining gene-based methods and reproductive technologies to enhance genetic improvement of livestock in developing countries.  IAEA/FAO Internat. Symposium on Applications of Gene-based Technologies for Improving Animal Production and Health in Developing Countries. Vienna, Austria. 6 - 10 October 2003.
  10. Van der Werf, J.H.J. Genetic Aspects of Booroola introgression in breeding programs. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  11. Nimbkar C., Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., Gupta V. S., Pardeshi V.C., Maddox J.F., van der Werf J.H.J, Gray, G.D. and Walkden-Brown S.W. 2008. Biological and economic consequences of introgressionof the FecB (Booroola) gene into Deccani sheep. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  12. Nimbkar C., van der Werf J.H.J,. Ghalsasi P.M., Nimbkar B.V., Ghalsasi, P.P., and Walkden-Brown S.W. 2008. Potential introgression pathways and strategies for wider utilization of the FecB gene in Maharashtra State and other parts of India. Proc. Helen Newton Turner Memorial Internat. Workshop on using the FecB (Booroola) gene in sheep breeding programs. Pune, India 10-12 Nov. 2008.
  13. Kinghorn, B.P., J.M. Hickey and  J.H.J. van der Werf. 2010. Reciprocal recurrent genomic selection for total genetic merit in crossbred individuals.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0036.
  14. Van der Werf, J.H.J, Kinghorn, B.P. and Banks, R.G.  2010. A genomic information nucleus to accelerate rates of genetic improvement in sheep.  Proceedings of the 9th World Congress on Genetics Applied to Livestock Production.  Paper 0046.

Conference abstracts

  1. Van der Werf, J.H.J., E.J. Pollak, and R.L. Quaas. 1983. Sire predictions in selected populations. 78th Annu. Meetings of the ADSA, Madison, USA.
  2. Van der Werf, J.H.J., and S.Korver. 1985. Combining biological and economic criteria for efficiency at different levels in cattle production systems. Proc. 36th Annu. Meetings of the EAAP, Haldiki, Greece. (Mimeo).
  3. Van der Werf, J.H.J., and I.J.M. de Boer, 1989, Estimation of genetic variance from selected base populations. Proc. Joint Annu. Meeting of ADSA and ASAS, Lexington, USA.
  4. Van der Werf, J.H.J., and A.W. van der Lugt. 1989. Estimation of genetic parameters in populations with imported genes: effect of prior selection.  Proc. 40th Annu. Meeting of the EAAP, Dublin.
  5. Van der Werf, J.H.J., and J. ten Napel. 1991. Estimation of genotype-environment interaction and implications for improvement programs. Proc. 42nd Annu. Meeting of the EAAP, Berlin. (Mimeo).
  6. Wei. M., J.H.J. van der Werf, and E.W. Brascamp. 1992. Effect of dominance on selection schemes in poultry breeding. XIX World Poultry Congr., Amsterdam.
  7. Luiting, P., J.H.J. van der Werf and T.H.E. Meuwissen. 1992. Proof of equivalence of selection indices containing traits adjusted for each other. Proc. 43th Annu. Meeting of the EAAP, Madrid. (Mimeo).
  8. Janss, L.L.G., J.H.J. van der Werf, and J.A.M. van Arendonk. 1992. Detection of a major gene using segregation analysis in data from several generations. Proc. 43th Annu. Meeting of the EAAP, Madrid. (Mimeo).
  9. Wei. M., and J.H.J. van der Werf. 1993. Genetic correlation between crossbreds and purebreds and its relationship with dominance variation in egg production traits. J. Animal. Sci. 71 (suppl): 106
  10. Van der Werf, J.H.J. B. Engel, K. Oldenbroek, and J. Garssen. 1993. Models to define physiological characters in early prediction of production traits. Proc. 44th Annu. Meeting of the EAAP, Aarhus, Denmark. (Mimeo).
  11. Van der Werf, J.H.J., and J.K. Oldenbroek. 1994. Effect of selection for milk production on efficiency and metabolic parameters of lactating dairy heifers. Proc. 45th Annu. Meeting of the EAAP, Edinburgh. (Mimeo).
  12. Oldenbroek, J.K., and Van der Werf, J.H.J. 1994. Effect of selection for milk production on efficiency and metabolic parameters of lactating heifers. J. Animal Sci. 72/ J. Dairy Sci. 77 (Suppl. 1).
  13. Tancin, V. G.J. Garssen, T. van der Lende and J.H.J. van der Werf. 1995. High Progesterone release early in life in heifers. Proc. 46th Annu. Meeting of the EAAP, Prague. (Mimeo).
  14. Lo/vendahl, P., M. Nielsen and J.H.J. van der Werf. 1995. Genetic parameters for glucose induced insulin release in juvenile dairy cattle. Proc. 46th Annu. Meeting of the EAAP, Prague. (Mimeo).
  15. Van der Werf, J.H.J. and P. Lo/vendahl. 1995. Genetic parameters for induced growth hormone secretion in dairy calves. J. Dairy Sci. 78 (Suppl 1) (Mimeo).
  16. Van der Werf, J.H.J. J.K.Oldenbroek, L Jonker and J.I.D. Wilkinson. 1995. Effect of monensin (Romensin®) on milk composition in Holstein and Jer¬sey cows. Proc. 46th Annu. Meeting of the EAAP, Prague. P. 46.
  17. Van der Werf, J.H.J. 1995. Effectiveness of selection on somatic cell counts to decrease mastitis sus¬ceptibility in dairy cows: a model study. Proc. 46th Annu. Meeting of the EAAP, Prague. (Mimeo).
  18. Van der Werf, J.H.J., A.F. Groen and G. de Jong. 1996. Determining selection goals for beef production traits in dairy cattle. Proc. 47th Annu. Meeting of the EAAP, Lilehammer. (Mimeo).
  19. Van der Werf, G.J. Garssen and F. Verburg. 1996. Effect of Leu/Val Polymorphism in the Growth Hormone Gene on Milk Production in Dairy Cattle. Proc. 47th Annu. Meeting of the EAAP, Lilehammer. (Mimeo).
  20. Van der Werf, J.H.J., M.E. Goddard and K. Meyer. 1997. Use of covariance functions in a test day model for genetic evaluation of milk production traits. J. Dairy Sci. 80 (Suppl. 1): 198.
  21. Moser, G., and J.H.J.van der Werf. 2000. A simple regression method for multiple trait mapping of multiple quantitative trait loci. Proc. 51th Annu. Meeting of the EAAP, The Hague. P.5.
  22. Banks, R.G., K. Marshall and J.H.J. van der Werf. 2000. Proc. Genetic aspects of the introduction of Texel in Australian sheep breeding programs. 51th Annu. Meeting of the EAAP, The Hague. P. 283.
  23. Fischer, T.M., J.H.J. van der Werf, R.G. Banks and A.J. Ball. 2004. Description of weight, fat and  muscle in growing lambs using random regression. Annual Meeting of the Britisch Society of Animal Science. April 2004. York, UK.
  24. Swan, A.A., N.M.Fogarty, J.H.J.van der Werf, B.Norris, and S.Dominik. 2004. A website documenting Australian sheep genetics research flocks. Proc. Austr. Soc. Animal Prod.
  25. Hocking Edwards, J.E., N.J. Edwards, T.M. Starbuck a, and J.H.J. van der Werf . 2004. Handling lambs prior to slaughter affects loin ph and glycogen concentration but not tenderness. Proc. Austr. Soc. Animal Prod.
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