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Integrating economic parameters into genetic selection for Large White pigs

Published online by Cambridge University Press:  28 March 2013

Bekezela Dube ,
Sendros D. Mulugeta  and
Kennedy Dzama
Bekezela Dube*
Affiliation:
Animal Science Programme, North West University, Private Bag X2046, Mmabatho 2735, South Africa
Sendros D. Mulugeta
Affiliation:
Animal Science Programme, North West University, Private Bag X2046, Mmabatho 2735, South Africa
Kennedy Dzama
Affiliation:
Department of Animal Sciences, Stellenbosch University, Private Bag X1, Matielend 7602, South Africa
*
†E-mail: [email protected]
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Abstract

The objective of the study was to integrate economic parameters into genetic selection for sow productivity, growth performance and carcass characteristics in South African Large White pigs. Simulation models for sow productivity and terminal production systems were performed based on a hypothetical 100-sow herd, to derive economic values for the economically relevant traits. The traits included in the study were number born alive (NBA), 21-day litter size (D21LS), 21-day litter weight (D21LWT), average daily gain (ADG), feed conversion ratio (FCR), age at slaughter (AGES), dressing percentage (DRESS), lean content (LEAN) and backfat thickness (BFAT). Growth of a pig was described by the Gompertz growth function, while feed intake was derived from the nutrient requirements of pigs at the respective ages. Partial budgeting and partial differentiation of the profit function were used to derive economic values, which were defined as the change in profit per unit genetic change in a given trait. The respective economic values (ZAR) were: 61.26, 38.02, 210.15, 33.34, −21.81, −68.18, 5.78, 4.69 and −1.48. These economic values indicated the direction and emphases of selection, and were sensitive to changes in feed prices and marketing prices for carcasses and maiden gilts. Economic values for NBA, D21LS, DRESS and LEAN decreased with increasing feed prices, suggesting a point where genetic improvement would be a loss, if feed prices continued to increase. The economic values for DRESS and LEAN increased as the marketing prices for carcasses increased, while the economic value for BFAT was not sensitive to changes in all prices. Reductions in economic values can be counterbalanced by simultaneous increases in marketing prices of carcasses and maiden gilts. Economic values facilitate genetic improvement by translating it to proportionate profitability. Breeders should, however, continually recalculate economic values to place the most appropriate emphases on the respective traits during genetic selection.

Keywords

profitabilitygenetic selectionproduction systems
Type
Breeding and genetics
Information
animal , Volume 7 , Issue 8 , August 2013 , pp. 1231 - 1238
Copyright
Copyright © The Animal Consortium 2013 

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References

Agricultural Research Council 1981. The nutrient requirements of pigs. Commonwealth Agricultural Bureaux, Farnham Royal, UK.Google Scholar
Amer, PR, Fox, GC 1992. Estimation of economic weights in genetic improvement using neoclassical production theory: an alternative to rescaling. Animal Production 54, 341–350.Google Scholar
Bett, RC, Kosgey, IS, Bebe, BO, Kahi, AK 2007. Breeding goals for the Kenya dual purpose goat I. Model development and application to smallholder systems. Tropical Animal Health and Production 39, 467–475.Google Scholar
Bourdon, RM 1998. Shortcomings of current genetic evaluation systems. Journal of Animal Science 76, 2308–2323.CrossRefGoogle ScholarPubMed
Brascamp, EW, Smith, C, Guy, DR 1985. Derivation of economic weights from profit equation. Animal Production 40, 175–180.Google Scholar
Charfeddine, N 2010. Economic aspects of defining breeding objectives in selection programmes. CIHEAM-Options Mediterraneennes 9-17. Retrieved July 24, 2009, from http://ressources.ciheam.org/om/pdf/a43/00600461.pdfGoogle Scholar
Houska, L, Wolfova, M, Fiedler, L 2004. Economic weights for production and reproduction traits of pigs in the Czech Republic. Livestock Production Science 85, 209–221.Google Scholar
Hovenier, R, Brascamp, EW, Kanis, E, van der Werf, JH, Wassenberg, AP 1993. Economic values of optimum traits: the example of meat quality in pigs. Journal of Animal Science 71, 1429–1433.CrossRefGoogle ScholarPubMed
James, JW 1982. Construction, uses, and problems of multitrait selection indices. Proceedings of the Second World Congress on Genetics Applied to Livestock Production, Madrid, Spain 5, pp. 130–139.Google Scholar
Kosgey, IS, Arendonk, JAM, Baker, RL 2003. Economic values for traits of meat sheep in medium to high production potential areas of the tropics. Small Ruminant Research 50, 187–202.Google Scholar
MacNeil, MD, Nugent, RA, Snelling, WM 1997. Breeding for profit: an introduction to selection index concepts. Proceedings, The Range Beef Cow Symposium XV December 9, 10 and 11, 1997, Rapid City, South Dakota.Google Scholar
McManus, M 2007. How much protein is needed to build muscle? Retrieved August 14, 2010, from http://www.musclehack.com/how-much-protein-is-needed-to-build-muscle/Google Scholar
Millward, DJ, Nnanyelugo, DO, Garlick, PJ 1974. Developmental changes in muscle protein metabolism in congenitally malnourished rats. Proceedings of Nutrient Society 33, 55–63.Google Scholar
Olesen, I, Groen, AF, Gjerde, B 2000. Definition of animal breeding goals for sustainable production systems. Journal of Animal Science 78, 570–582.Google Scholar
Ponzoni, RW 1988. The derivation of economic values combining income and expense in a different way: an example with Australian Merino sheep. Journal of Animal Breeding and Genetics 105, 143–152.Google Scholar
Ponzoni, RW 1992. Which trait for genetic improvement of beef cattle reproduction: calving ease or calving day? Journal of Animal Breeding and Genetics 109, 119–128.Google Scholar
See, T, Zering, K, Robison, OW 1995. Economic Value of Pork Quality Traits. Retrieved April 14, 2010, from http://www.nsif.com/conferences/1995/evnsif.htmGoogle Scholar
Smith, C 1988. Genetic improvement of livestock using nucleus breeding units. World Animal Review 65, 2–10.Google Scholar
Smith, C, James, JW, Brascamp, EW 1986. On the derivation of economic weights in livestock improvement. Animal Production 43, 545–551.Google Scholar
South African Meat Industry 2007. Classification of Red Meat: a key to more effective marketing. Red meat classification chart, 4th edition. Meat Classification Regulations No. R.863 in Government Gazzette of the Republic of South Africa, Pretoria.Google Scholar
South African Pork Producers Organization 2008. Research and Development Plan for the Pork Industry in South Africa. RMRD Planning Committee (R & D) Pork. 2nd Version June 2008. Pretoria, South Africa.Google Scholar
Von Rohr, P, Hofer, A, Kunzi, N 1999. Economic values for meat quality traits in pigs. Journal of Animal Science 77, 2633–2640.Google Scholar
Wellock, IJ, Emmans, GC, Kyriazakis, I 2004. Describing and predicting potential growth in the pig. Animal Science 78, 379–388.Google Scholar
Whittemore, CT 1993. The science and practice of pig production. Longman Group UK, Essex, England.Google Scholar
Whittemore, CT, Green, DM, Knap, PW 2001. Technical review of the energy and protein requirements of growing pigs: energy. Animal Science 73, 199–215.Google Scholar
Whittemore, CT, Kerr, JC, Cameron, ND 1995. An approach to prediction of feed intake in growing pigs using simple body measurements. Agricultural Systems 47, 235–244.Google Scholar
Wolfova, M, Wolf, J, Kvapilik, J, Kica, J 2007. Selection for profit in cattle: I. Economic weights for purebred dairy cattle in the Czech Republic. Journal of Dairy Science 90, 2442–2455.Google Scholar
Young, M 2003. Nutrition and management of the modern gilt. Retrieved December 21, 2010, from http://www.teagasc.ie/publications/2003/pigconf/paper05.aspGoogle Scholar
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