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RESEARCH ARTICLE
Contents Vol 45(8)

Breeding robust pigs

P. W. Knap
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PIC International Group, Ratsteich 31, 24837 Schleswig, Germany. Email: pieter.knap@pic.com

Australian Journal of Experimental Agriculture 45(8) 763-773 https://doi.org/10.1071/EA05041
Submitted: 14 February 2005  Accepted: 27 May 2005   Published: 26 August 2005

Abstract

Past developments in livestock breeding have led to considerable genetic change in production traits, but the follow-up of nutrition and management is often incomplete. The pig production sector is moving to hotter climates, and to more intensive and limiting conditions. This increases demands for animal robustness. Robustness can be implemented as a breeding objective trait just like production traits. Breeding for robustness is feasible, but requires substantial investment in data and technology. As for all low-heritability traits with complicated data recording, DNA markers provide a useful tool to support selection; this requires good association studies and ongoing multiple marker development. Breeding for increased robustness must be implemented in balance with breeding for increased production. It is therefore useful to define robustness in terms of performance-relevant issues. A convenient approach is through the environmental sensitivity of the expression of genetic production potential. Environmental sensitivity illustrates loss of flexibility to deal with intensive or limiting conditions, due to unbalanced resource allocation. It can be quantified for individual animals in terms of reaction norm parameters, which can be used as estimated breeding values to support selection. The challenges of implementing such a system will be (i) the set-up of proper data collection in a wide range of environmental settings; (ii) the development of proper data processing tools; (iii) the design of suitable breeding objectives and selection criteria, including MAS; and (iv) the successful integration of the first 3 objectives.

Additional keywords: pig breeding, fitness, robustness, environmental sensitivity.


Acknowledgments

Thanks are due to Geoffrey Pollott for making available his data behind Figure 7, and to Kim Bunter, Brian Kinghorn, Jan ten Napel, Scott Newman, Graham Plastow, Erling Strandberg and an anonymous referee for constructive comments.


References


Anon. (1999) Gebruikseigenschappen nakomelingen Stamboekeindberen. Varkens 9, 13. (verified 19 January 2005).

Farid A , Crober DC , Van der Steen H , Patterson DL , Sabour MP (2002) Reproductive performance of mice selected for reproductive longevity. In ‘Proceedings of the 7th world congress on genetics applied to livestock production’. [CD ROM] (INRA: Castanet-Tolosan)

Foster WH, Kilpatrick DJ, Heaney IH (1983) Genetic variation in the efficiency of energy utilization by the fattening pig. Animal Production 37, 387–393. (verified 30 July 2005).

Gill M , Oldham JD (1993) Growth. In ‘Quantitative aspects of ruminant digestion and metabolism’. (Eds JM Forbes, J France) pp. 383–403. (CAB International: Wallingford)

Johnson ZB, Chewning JJ, Nugent RA (1999) Genetic parameters for production traits and measures of residual feed intake in Large White swine. Journal of Animal Science 77, 1679–1685.
| PubMed |
(verified 5 January 2005).

Siegel PB , Dunnington EA (1998) Resource allocations: growth and immune responses. In ‘Proceedings of the 10th WPSA European poultry conference’. pp. 95–98. (Jerusalem)

Thornton K (2000) Where will pork be produced? A European perspective. Advances in Pork Production 11, 3–16. Available online at: http://www.banffpork.ca/proc/2000pdf/Chap03-Thornton.pdf (verified 5 January 2005).

Tuggle CK , Stabel TJ , Galina-Pantoja L , Bastiaansen J , Markland L , Stumbaugh A , Shi XW , Mellencamp MA (2004) Genes associated with resistance to Salmonellosis. In ‘Proceedings of the 18th international pig veterinary society conference’. p. 685. (Hamburg)

Van der Waaij EH (2004) A resource allocation model describing consequences of artificial selection under metabolic stress. Journal of Animal Science 82, 973–981.
| PubMed |
open url image1

Van der Waaij EH, Bijma P, Bishop SC, Van Arendonk JAM (2000) Modeling selection for production traits under constant infection pressure. Journal of Animal Science 78, 2809–2820.
| PubMed |
open url image1

Van der Waaij EH, Bijma P, Bishop SC, Van Arendonk JAM (2002) Using genetic markers for disease resistance to improve production under constant infection pressure. Journal of Animal Science 80, 322–329.
| PubMed |
open url image1

Van Noordwijk A, De Jong G (1986) Acquisition and allocation of resources: their influence on variation in life history tactics. American Naturalist 128, 137–142.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Von Felde A, Roehe R, Looft H, Kalm E (1996) Genetic association between feed intake and feed intake behaviour at different stages of growth of group-housed boars. Livestock Production Science 47, 11–22.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Walker B, Young BA (1993) Prediction of protein accretion, support costs and lipid accretion in the growing female pig and dry sow. Agricultural Systems 42, 343–358.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Whittemore CT (1998) Influence of pregnancy feeding on lactation performance. In ‘The lactating sow’. (Eds MWA Verstegen, PJ Moughan, JW Schrama) pp. 183–200. (Wageningen Pers: Wageningen)

Wieser W (1994) Cost of growth in clees and organisms: general rules and comparative aspects. Biological Reviews 69, 1–33.
| Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Williams IH (1998) Nutritional effects during lactation and during the interval form weaning-to-oestrous. In ‘The lactating sow’. (Eds MWA Verstegen, PJ Moughan, JW Schrama) pp. 159–182. (Wageningen Pers: Wageningen)