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Physiological responses to divergent selection for daily food intake or lean growth rate in pigs

Published online by Cambridge University Press:  18 August 2016

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Abstract

Correlated responses in physiological traits to divergent selection on components of efficient lean growth identified physiological traits for use as predictors of genetic merit and provided a biological explanation for the between-selection line differences in protein and lipid deposition. Responses (differences between high (H) and low (L) selection lines) in protein metabolism during ad-libitum feeding were associated with divergent selection for daily food intake (DFI) (reduced serum creatinine concentration (H = 1·30 v. L = 1·56, s.e.d. 0·08 mg/dl)) and for lean growth rate on an ad-libitum feeding regime (LGA) (increased serum urea (H = 48 v. L = 36, s.e.d. 4 mg/dl) and creatinine (H = 1·74 v. L = 1·45 mg/dl)) concentrations, but not with selection for lean growth on a restricted feeding regime (LGS). Following 24-h fasting, responses in lipid metabolism, in the form of higher serum non-esterified fatty acid concentrations, were detected with divergent selection for both LGA (399 v. 248, s.e.d. 66 µmol/l) and LGS (H = 361 v. L = 107 µmol/l). The high LGS line appeared to ‘preserve’ protein to a greater extent than the high LGA line and similarly there was greater maintenance of lipid depots by the low LGS line compared with the low LGA line. A tentative ranking of the two pairs of lean growth selection lines on the basis of ‘importance’ of protein deposition would be high LGS, high LGA, low LGA and low LGS.

Coheritabilities for serum creatinine concentration with predicted lysine balance and lysine required for protein deposition (-0·17 and 0·17, s.e. 0·08) indicated that serum creatinine concentration may usefully be included in breeding value prediction for lysine requirement and protein deposition to increase the accuracy of predicted genetic merit.

Fasting did not increase the coheritabilities for serum creatinine concentration, so inclusion of serum creatinine concentration in a selection criterion for dietary lysine requirement or protein deposition does not require withdrawal of food before blood sampling animals.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 2003

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References

Agricultural Research Council. 1981. The nutrient requirements of pigs. Commonwealth Agricultural Bureau, Farnam Royal.Google Scholar
Bauman, D.E. and Currie, W.B. 1980. Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis. Journal of Dairy Science 63: 15141529.Google Scholar
Beek, S. van der and Arendonk, J.A.M. van. 1996. Marker-assisted selection in an outbred poultry breeding nucleus. Animal Science 62: 171180.Google Scholar
Bender, A.E. and Bender, D.A. 1995. A dictionary of food and nutrition. Oxford University Press.Google Scholar
Blair, H.T., McCutcheon, S.N. and Mackenzie, D.D.S. 1990. Physiological predictors of genetic merit. Proceedings of the Australian Association of Animal Breeding and Genetics 8: 133142.Google Scholar
Bremmers, R.P.M., Morgan, P.F., McCutcheon, S.N. and Purchas, R.W. 1988. Effect of plane of nutrition on energy and nitrogen retention and on plasma urea concentrations in Southdown ram hoggets from high and low backfat selection lines. New Zealand Journal of Agricultural Research 31: 1–7.Google Scholar
Cameron, N.D. 1992. Correlated physiological responses to selection for carcass lean content in sheep. Livestock Production Science 30: 5368.Google Scholar
Cameron, N.D. 1994. Selection for components of efficient lean growth rate in pigs. 1. Selection pressure applied and direct responses in a Large White herd. Animal Production 59: 251262.Google Scholar
Cameron, N.D. 2000. Genotype with nutrition interaction for protein and lipid deposition in pigs. Proceedings of the British Society of Animal Science, 2000, p. 20.Google Scholar
Cameron, N.D. and Curran, M.K. 1995. Responses in carcass composition to divergent selection for components of efficient lean growth rate in pigs. Animal Science 61: 347359.Google Scholar
Cameron, N.D., Curran, M.K. and Kerr, J.C. 1994. Selection for components of efficient lean growth rate in pigs. 3. Responses to selection with a restricted feeding regime. Animal Production 59: 271279.Google Scholar
Cameron, N.D., Garth, G.B., Penman, J.C. and Fiskin, A. 2003. Sensitivity to dietary lysine: energy content in pigs divergently selected for components of efficient lean growth rate. Animal Science In press.Google Scholar
Carter, M.L., McCutcheon, S.N. and Purchas, R.W. 1989. Plasma metabolite and hormone concentrations as predictors of genetic merit for lean meat production in sheep: effects of metabolic challenges and fasting. New Zealand Journal of Agricultural Research 32: 343353.CrossRefGoogle Scholar
Clark, C.M., Mackenzie, D.D.S., McCutcheon, S.N. and Blair, H.T. 1989. Physiological responses to selection for greasy fleece weight in Romney sheep. New Zealand Journal of Agricultural Research 32: 2936.Google Scholar
Close, W.H. 1994. Feeding new genotypes: establishing amino acid/energy requirements. In Principles of pig science (ed. Cole, D.J.A. Wiseman, J. and Varley, M.A.), pp. 123140. Nottingham University Press.Google Scholar
Hansen, J.A., Yen, J.T., Klindt, J., Nelssen, J.L. and Goodband, R.D. 1997. Effects of somatotropin and salbutamol in three genotypes of finishing barrows: blood hormones and metabolites and muscle characteristics. Journal of Animal Science 75: 18101821.Google Scholar
Hanset, R. and Michaux, C. 1986. Characterisation of biological types of cattle by the blood levels of creatine and creatinine. Livestock Production Science 103: 227240.Google Scholar
Lingaas, F., Brun, E., Aarskaug, T. and Havre, G. 1992. Biochemical blood parameters in pigs. 2. Estimates of heritability for 20 blood parameters. Journal of Animal Breeding and Genetics 109: 281290.Google Scholar
Maanen, M.C. van , McCutcheon, S.N. and Purchas, R.W. 1989. Plasma metabolite and hormone concentrations in Southdown ram hoggets from lines divergently selected on the basis of backfat thickness. New Zealand Journal of Agricultural Research 32: 219226.Google Scholar
MacKenzie, D.D.S., Wilson, G.F., McCutcheon, S.N. and Peterson, S.W. 1988. Plasma metabolite and hormone concentrations as predictors of dairy merit in young Friesian bulls: effect of metabolic challenges and fasting. Animal Production 47: 110.Google Scholar
Mersmann, H.J. and MacNeil, M.D. 1985. Relationship of plasma lipid concentrations to fat deposition in pigs. Journal of Animal Science 61: 122128.CrossRefGoogle ScholarPubMed
Mersmann, H.J., Pond, W.G. and Yen, J.T. 1984. Use of carbohydrate and fat as energy source by obese and lean swine. Journal of Animal Science 58: 894902.Google Scholar
Meuwissen, T.H.E. and Arendonk, J.A.M. van . 1992. Potential improvements in rate of genetic gain from marker-assisted selection in dairy cattle breeding schemes. Journal of Dairy Science 75: 16511659.Google Scholar
Meuwissen, T.H.E. and Goddard, M.E. 1996. The use of marker haplotypes in animal breeding schemes. Genetics, Selection, Evolution 28: 161170.Google Scholar
Meyer, K. 1985. Maximum likelihood estimation of variance components for a multivariate mixed model with equal design matrices. Biometrics 41: 153165.Google Scholar
Möhn, S., Gillis, A.M., Moughan, P.J. and Lange, C.F.M. de. 2000. Influence of dietary lysine and energy intakes on body protein deposition and lysine utilization in the growing pig. Journal of Animal Science 78: 15101519.Google Scholar
Smith, S.P. and Graser, H.U. 1986. Estimating variance components in a class of mixed models by restricted maximum likelihood. Journal of Dairy Science 69: 11561165.Google Scholar
Susenbeth, A. 1995. Factors affecting lysine utilization in growing pigs: an analysis of literature data. Livestock Production Science 43: 193204.Google Scholar
Whittemore, C.T. and Fawcett, R.H. 1976. Theoretical aspects of a flexible model to simulate protein and lipid growth in pigs. Animal Production 22: 8796.Google Scholar
Woolliams, J.A. and Løvendahl, P. 1991. Physiological attributes of male and juvenile cattle differing in genetic merit for milk yield: a review. Livestock Production Science 29: 116.Google Scholar
Woolliams, J.A., Nisbet, R.S. and Løvendahl, P. 1992. The effect of dietary protein on metabolite concentrations during fasting in calves differing genetically in dairy merit. Animal Production 54: 175181.Google Scholar