This page contains publications that are related to the development of MateSel. There is a long history, starting with
a desire to integrate different issues in animal breeding into a single decision framework.
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Kinghorn, B.P and Kinghorn, A.J., 2026. A method to accommodate variable male reproductive success when managing diversity under mixed mating scenarios. Proceedings of 13th World Congress on Genetics Applied to Livestock Production. Madison, Wisconsin, July 12-17, 2026. 4pp. https://www.iastatedigitalpress.com/wcgalp/article/id/23650/
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Rathje T.A., I.D.P.S. Diaz, V. Bhatia, R. Borg, M. Walugembe, B. P. Kinghorn, and A. J. Kinghorn 2026. Managing multi-stage selection within and across cohorts of animals in multi-unit breeding programs. Proceedings of 13th World Congress on Genetics Applied to Livestock Production. Madison, Wisconsin, July 12-17, 2026. 4pp. https://www.iastatedigitalpress.com/wcgalp/article/id/24073/
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B. de Klerk, E. Facchini, B. Perez, D. Jamieson, M. Bink, and N. Duijvesteijn. Optimizing Shrimp Breeding Programs Using Simulation-Based Strategies for Enhanced Genetic Gain. Proceedings of 13th World Congress on Genetics Applied to Livestock Production. Madison, Wisconsin, July 12-17, 2026. 4pp. https://www.iastatedigitalpress.com/wcgalp/article/id/23945/
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Kinghorn, A.J., F. Archer, H. Jansen and B.P. Kinghorn, 2026. Predicted genetic gain under multiple-sire mating compared to single-sire mating. Proceedings of 13th World Congress on Genetics Applied to Livestock Production. Madison, Wisconsin, July 12-17, 2026. 4pp. https://www.iastatedigitalpress.com/wcgalp/article/id/23878/
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B.P. Kinghorn and A.J. Kinghorn. 2025. Implementation of genomic mate selection and other non-additive issues. Proc. Assoc. Advmt. Anim. Breed. Genet. 26: 467-470. https://www.aaabg.org/aaabghome/AAABG26papers/H%20158-Kinghorn%20250420%20Final.pdf
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Kinghorn, B.P. and Kinghorn, A.J. 2023. Management of diversity and inbreeding when importing new stock into an inbred population.
Journal of Heredity. https://academic.oup.com/jhered/article/114/5/492/7146897?login=false
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Kinghorn, B.P. and Van Eenennaam, A.L. 2019. Fine control of bull allocation to help avoid dystocia.
Proc. Assoc. Advmt. Anim. Breed. Genet. 23: 226-229. http://www.aaabg.org/aaabghome/AAABG23papers/55Kinghorn23226.pdf
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Kinghorn, B.P., 2018. Accommodating recent contributions under optimal contribution selection.
Proceedings of the World Congress on Genetics Applied to Livestock Production, 11: 217 http://www.wcgalp.org/system/files/proceedings/2018/accommodating-recent-contributions-under-optimalcontribution-selection.pdf
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Kinghorn, B.P., 2017. Committed matings under mate selection. Proc. Assoc. Advmt. Anim. Breed.
Genet. 22: 277-280. http://agbu.une.edu.au/AAABG%202017/63Kinghorn22277.pdf
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Kinghorn, B.P., Van Eenennaam, A.L., MacNeil, M.D. 2015. Targeting Multiple End-Uses in Beef Cattle
Breeding Programs. Proceedings of the 2015 Applied Reproductive Strategies in Beef Cattle conference,
August 17-18, 2015, Davis, CA. https://beefrepro.org/wp-content/uploads/2020/09/17Kinghorn-VanEeen-pg250-257.pdf
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Kinghorn, B.P. 2011. An algorithm for efficient constrained mate selection. Genetics Selection Evolution.
43:4. http://www.gsejournal.org/content/43/1/4
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Kinghorn, B.P. and Shepherd, R.K. 1999. Mate selection for the tactical implementation of breeding
programs. Assoc. Advmt. Anim. Breed. Genet. 13:130-133.
http://www.aaabg.org/livestocklibrary/1999/AB99025.pdf
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Wolc, A., Kinghorn, B.P., Kinghorn, A.J. and Dekkers, J.C.M. Application of optimal contribution selection, trait distribution management, and group selection in layer chickens. Genet Sel Evol 58, 9 (2026). https://doi.org/10.1186/s12711-025-01029-2
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Kinghorn, A.B. and Kinghorn, B.P., 2026. Testing SNP association methods with ‘open black box' simulated gene interaction network. Proceedings of 13th World Congress on Genetics Applied to Livestock Production. Madison, Wisconsin, July 12-17, 2026. 4pp. We are developing this to give a more realistic foundation for testing Matesel policies through simulation. https://www.iastatedigitalpress.com/wcgalp/article/id/24484/
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Cowling,W.A.; Castro-Urrea, F.A.; Stefanova, K.T.; Li, L.; Banks, R.G.; Saradadevi, R.; Sass, O.;
Kinghorn, B.P.; Siddique, K.H.M. Optimal contribution selection improves the rate of genetic gain in grain
yield and yield stability in spring canola in Australia and Canada. Plants 2023, 12, 383. https://doi.org/10.3390/plants12020383
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Kinghorn, B.P., Kinghorn, A.J. and Baller J.L. 2022. A tool for comprehensive implementation of simple and complex breeding programs. Proceedings of 12th World Congress on Genetics Applied to Livestock Production. Pages 1856-1859. https://doi.org/10.3920/978-90-8686-940-4_446
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Saradadevi, R., Mukankusi, C., Li, L., Amongi, W., Mbiu, J. P., Raatz, B., Ariza, D., Beebe, S., Varshney,
R. K, Huttner, E., Kinghorn, B., Banks, R., Rubyogo, J. C., Siddique, K. H. M., & Cowling, W. A., 2021.
Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking
time, iron, zinc, and grain yield in common beans in East Africa. Plant Genome. 2021;e20156. https://doi.org/10.1002/tpg2.20156
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Kinghorn, B.P. Kinghorn A.J. 2021. Management of inbreeding and coancestry to target short-term and
long-term genetic gains. Proc. Assoc. Advmt. Anim. Breed. Genet. 24: 191-194. https://www.youtube.com/watch?v=NcfFpQ1c3L8
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Clare Mukankusi, Wallace A. Cowling, Kadambot K.M. Siddique, Li Li, Brian Kinghorn, Jean Claude
Rubyogo (2020) Diversity Breeding Program on Common Bean (Phaseolus vulgaris L.) Targeting Rapid
Cooking and Iron and Zinc Biofortification. (Multidisciplinary Digital Publishing Institute) Proceedings
2019, 36, 194; doi:10.3390/proceedings2019036194. https://www.mdpi.com/2504-3900/36/1/194
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Cowling, W.A., Li Li, Kadambot H. M. Siddique, Robert G. Banks, Brian P. Kinghorn, 2018. Modeling
crop breeding for global food security during climate change. Food Energy Secur. https://onlinelibrary.wiley.com/doi/full/10.1002/fes3.157
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Suontama, M., B.P. Kinghorn, W.A. Cowling and H.S. Dungey, 2018. Tactical desired gains for control of
red needle cast in radiata pine under optimal contributions selection. Proceedings of the 11th World
Congress on Genetics Applied to Livestock Production. 11: 375 http://www.wcgalp.org/system/files/proceedings/2018/tactical-desired-gains-control-red-needle-castradiata-pine-under-optimal-contributions-selection.pdf
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Cowling, W.A., L. Li, K.H.M. Siddique, M. Henryon, P. Berg, R.G. Banks and B.P. Kinghorn, 2017.
Evolving gene banks: improving diverse populations of crop and exotic germplasm with optimal contribution
selection. Journal of Experimental Botany 68, 1927–1939. https://academic.oup.com/jxb/article/68/8/1927/2457456
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These publications aimed to integrate different issues (initially selection, crossing and costs) into
a single decision framework.
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Klieve, H.M., Kinghorn, B.P. and Barwick, S.A. 1994. The joint regulation of genetic gain and inbreeding
under mate selection. J. Anim. Breed. Genet. 111:81-88.
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Kinghorn, B.P. 1998. Mate selection by groups. J. Dairy Science. 81:55-63.
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Piyasatian, N. and Kinghorn, B.P. 2003. Balancing genetic diversity, genetic merit and population viability
in conservation programs. Journal of Animal Breeding and Genetics. 120: 137-149. https://onlinelibrary.wiley.com/doi/abs/10.1046/j.1439-0388.2003.00383.xx
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Li, Yongjun, Van der Werf, J.H.J. and Kinghorn, B.P. 2006 Optimisation of a crossing system using mate
selection. Genetics, Selection, Evolution. 38:147-165.
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Carvalheiro, R., S.A. Queiroz and B.P. Kinghorn, 2010. Optimum contribution selection using differential
evolution. Revista Brasileira de Zootecnia. 39:1429-1436. http://www.scielo.br/scielo.php?pid=S1516-
35982010000700005&script=sci_arttext
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Kinghorn, B.P. 2012 The use of genomics in the management of livestock. Animal Production Science.
52:78-91. http://www.publish.csiro.au/?paper=AN11092 [This gives the best description of Total Resource
Management – sort of Matesel for the production system.]
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Clark, S.A., B .P. Kinghorn, J.M. Hickey, J.H.J.van der Werf. 2013. The effect of genomic information on
optimal selection in livestock breeding programs. Genet. Sel. Evol. 45:44
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Kinghorn, B.P. 1993. Mate selection for the design of breeding programs. In: Design of Livestock Breeding
Programs. H-U. Graser editor. AGBU, University of New England. ISBN 0 86389 066 1. Pages 165-170.
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Kinghorn, B.P. 1999. Total Resource Management: Tactical optimisation of vertically integrated animal
production systems. In: The application of artificial intelligence, optimisation and Bayesian methods in
agriculture. Eds. Abbass, H. A. and Towsey, M. Queensland University of Technology. ISBN 1 86435 463
1. Pages 95 - 100.
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Vagg, R.D., Meszaros, S.A. and Kinghorn, B.P. 1999. Delivering the power of artificial intelligence to the
practitioner: a client/server solution to a complex optimisation problem. In: The application of artificial
intelligence, optimisation and Bayesian methods in agriculture. Eds. Abbass, H. A. and Towsey, M.
Queensland University of Technology. ISBN 1 86435 463 1. Pages 153 - 162.
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Kinghorn, B.P. 2000. The tactical approach to implementing breeding programs. Chapter 22 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 Veterinarian Science of the University of Sydney. ISBN 0 646 38713 8. Pages 291-
308.
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Kinghorn. B.P. 2005. Mating Systems. In Encyclopedia of Animal Science. Edited by W. G. Pond and A.W.
Bell. CRC Press 2005. Pages 615-621.
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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: Adaptation and fitness in animal populations. J. H. J. van der Werf, R. Frankham, H. -U. Graser and C.
Gondro. Berlin, Springer. Pages 191-200.
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Kinghorn. B.P. 2010. Mating Systems. In Encyclopedia of Animal Science.2nd Edition. Edited by W. G.
Pond and A.W. Bell. Taylor and Francis. Pages 744-747. http://www.informaworld.com/10.1081/E-EAS2-
120045691
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Kinghorn, B.P. and Shepherd, R.K. 1994. A tactical approach to breeding for information-rich designs. 5th
World Congress on Genetics Applied to Livestock Production. Guelph, 7 - 12 August 1994. 18: 255-261.
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Kinghorn, B.P. 1998. Managing genetic change under operational and cost constraints. 36th National
Congress of the South African Association of Animal Science. University of Stellenbosch 5-8 April. pp 9-
16.
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Kinghorn, B.P. 1999. The tactical approach to design and implementation of beef breeding programs. World
Gelbvieh Conference, 26-30 March 1999, Sydney. Pages 35-41.
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Kinghorn, B.P. 2000. Tactical implementation of beef cattle breeding programs. 3rd National Symposium
on Animal Breeding. Belo Horizonte, Brazil. 5-8 June 2000. 8 pages.
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Kinghorn, B.P.; Meszaros S.A.; Vagg, R.D. 2002: Dynamic tactical decision systems for animal breeding.
Proceedings of the 7th World Congress on Genetics Applied to Livestock Production. 33: 179-186. [CDROM communication n° 23-07. ISBN 2-7380-1052-0]
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Newman, S., V. D. Kremer and B.P. Kinghorn 2009 Mate Selection Strategies - Balancing Genetic Gain
and Diversity in Livestock Improvement Programs. 58th Annual National Breeders Roundtable. St Louis
Missouri, 7-8 May 2009.
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Shepherd, R.K. and Kinghorn, B.P. 1998. A tactical approach to the design of crossbreeding programs. 6th
World Congress on Genetics Applied to Livestock Production. Armidale, 11-16 January, 1998. 25: 431-438
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Kinghorn, B.P. 2011. Automated mate selection analyses. Assoc. Advmt. Anim. Breed. Genet. 19:15-22.
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Grundy, B., Kinghorn, B.P., Villanueva, B., and Woolliams J.A. 1998. A breeding programme for in-situ
genetic conservation of livestock. In: The potential role of rare livestock breeds in the UK farming systems.
Appleby Castle, Appleby, Cumbria, 1 – 2 December 1997. British Society of Animal Science, Meeting and
Workshop Publication No. 41.
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Hayes, B.J., Shepherd R.K., Newman S. and Kinghorn B.P. 1998. A tactical approach to improving long
term response in across breed mating plans. 6th World Congress on Genetics Applied to Livestock
Production. Armidale, 11-16 January, 1998. 25:439-442.
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Kinghorn, B.P., Shepherd, R.K. and Woolliams, J.L. 1999. An index of EBV, parental coancestry and
progeny inbreeding to help maximise genetic gains. Assoc. Advmt. Anim. Breed. Genet. 13:412-415.
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Shepherd, R.K. and Kinghorn, B.P. 1999. Algorithms for mate selection. Assoc. Advmt. Anim. Breed.
Genet. 13:126-129.
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Chaiwong, N. and Kinghorn, B.P. 1999. Use of genetic markers to aid conservation decisions for groups of
rare domestic breeds. Assoc. Advmt. Anim. Breed. Genet. 13:365-368.
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Banks, R.G., Ball, A.J. and Kinghorn, B.P. 1999. Total Genetic Resource Management - application in the
breeding industries. Assoc. Advmt. Anim. Breed. Genet. 13:134-137.
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Shepherd, R.K. and Kinghorn, B.P. 2001. Designing algorithms for mate selection when major genes or
QTL are important. Assoc. Advmt. Anim. Breed. Genet. 14: 377-380.
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Kinghorn, B.P.; Meszaros, S.A. and Vagg, R.D. 2001. Progeny Explorer - desired gains in progeny based
on EBVs of current candidates. Assoc. Advmt. Anim. Breed. Genet. 14: 449-452.
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Upton, W.H.; Meszaros, S.A.; Barwick, S.A. and Kinghorn, B.P. 2001. Mate allocation in beef cattle herds.
Assoc. Advmt. Anim. Breed. Genet. 14: 457-460. http://www.aaabg.org/livestocklibrary/2001/ab01109.pdf
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Y. Li, J. H. J. van der Werf and Kinghorn, B.P. 2002. Mate selection in parental lines to exploit known
dominant QTL in crosses. Proceedings of the 7th World Congress on Genetics Applied to Livestock
Production. 33:191-194. [CD-ROM communication n° 23-09. ISBN 2-7380-1052-0]
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Newman, S., Kremer, V. and Kinghorn, B. 2006. Managing Selection and Diversity in a Breeding Program.
Proceedings of the US National Swine Improvement Federation, Nashville, 7-8 Dec. 2006. http://www.nsif.com/Conferences/2006/contents.html
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Kremer, V. D., S. Newman, B.P. Kinghorn, P. W. Knap, E. R. Wilson. 2009. Strategic versus tactical
management of pig genetics. European Association of Animal Production, Barcelona August 2009. Page
131.
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Roberto Carvalheiro, Brian Kinghorn, Sandra Aidar de Queiroz 2009. Seleção de Acasalamentos
Considerando Diferentes Funções Objetivo. 46a Reuniao Annual da Sociedade Brasileira de Zootecnia,
Maringa, PR-UEM, 14-17 de julho de 2009.
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Carvalheiro, R., B.P. Kinghorn and S.A. Queiroz. 2010. Mate Selection accounting for connectedness.
Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. Paper 0275.
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Kremer, V.D., S. Newman, E.R. Wilson and B.P. Kinghorn. 2010. Mate Selection for sustained genetic
improvement in small populations. Proceedings of the 9th World Congress on Genetics Applied to Livestock
Production. Paper 0536.
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Newman, S., Kinghorn, B.P. and Kremer, V. 2010. Mate Selection in Pigs: A Genetic Match.com. Pig
genetics workshop notes. 2010, University of New England, Armidale, NSW. Pages 9-15 http://agbu.une.edu.au/pig_genetics/pdf/2010/P02-Scott-Newman-Mate%20selection.pdf
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Van Eenennaam, A. L. and Kinghorn, B.P. 2014. Use of mate selection software to manage lethal
recessive conditions in livestock populations. Proceedings, 10th World Congress of Genetics Applied to
Livestock Production. Paper 408, https://www.asas.org/docs/default-source/wcgalp-posters/408_paper_9819_manuscript_1027_0.pdf?sfvrsn=4b887dd1_2
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Upperman, L, Brian Kinghorn, Michael MacNeil, Alison Van Eenennaam, 2018. Management of lethal
recessive alleles while optimizing genetic gain in beef cattle. Proceedings of the World Congress on
Genetics Applied to Livestock Production, 11: 701 https://www.asas.org/docs/default-source/western-section/asasws_western_book_060217.pdf?sfvrsn=e72946d1_0%EF%BB%BF#page=133
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