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Plasma metabolite and hormone concentrations in Friesian calves of low or high genetic merit: effects of sex and age

Published online by Cambridge University Press:  02 September 2010

S. H. Min ,
S. N. McCutcheon ,
D. D. S. Mackenzie  and
B. W. Wickham
S. H. Min
Affiliation:
Department of Animal Science, Massey University, Palmerston North, New Zealand
S. N. McCutcheon
Affiliation:
Department of Animal Science, Massey University, Palmerston North, New Zealand
D. D. S. Mackenzie
Affiliation:
Department of Animal Science, Massey University, Palmerston North, New Zealand
B. W. Wickham
Affiliation:
Livestock Improvement Corporation, New Zealand Dairy Board, Hamilton, New Zealand
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Abstract

This study investigated the potential use of blood metabolite and hormone concentrations as genetic markers for milk fat production and their possible interactions with sex and age. Two groups of calves, one from the Massey University high breeding index (HBI) line of dairy cattle (seven males, eight females) and the other from the low breeding index (LBI) line (four males, 11 females), were studied at 3·5 months and 7 months of age. The average breeding indices (BI) of the calves based on ancestry BI were 138 (s.d. 4·4) and 111 (s.d. 2·3) respectively. Serial blood sampling regimens were conducted in relation to feeding (chaffed lucerne hay at 1·3 times maintenance energy requirement), during an intravenous urea load (120 mg/kg live weight) and during fasting (63 h) and refeeding. Urea spaces and fractional decay constants at each age were estimated by a single compartment distribution model based on plasma urea concentrations following the intravenous urea load.

Plasma concentrations of urea, creatinine and non-esterified fatty acids (NEFA) were not significantly different between the lines in any of the periods examined and at either age. In contrast, plasma concentrations of glucose and insulin were greater in the HBI calves than in the LBI calves although these differences were restricted mainly to the period immediately after feeding. Urea space at 7 months of age was also greater in the HBI animals than in the LBI animals. Plasma concentrations of all hormones and metabolites except insulin were significantly influenced by sex and/or age.

The study does not confirm previous findings that genetic merit for dairying is expressed in terms of plasma levels of urea and NEFA, particularly those during a fast. However, the results of the present study are consistent with previous observations of differences in glucose and insulin metabolism between the tivo Massey University genetic merit lines. These traits may therefore have potential as genetic markers for milk fat production.

Keywords

dairy calvesFriesiangenetic merithormonesmetabolites
Type
Research Article
Information
Animal Production , Volume 56 , Issue 1 , February 1993 , pp. 17 - 27
Copyright
Copyright © British Society of Animal Science 1993

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References

Barnes, M. A., Kazmer, G. W., Akers, R. M. and Pearson, R. E. 1985. Influence of selection for milk yield on endogenous hormones and metabolites in Holstein heifers and cows. Journal of Animal Science 60: 271–284.CrossRefGoogle ScholarPubMed
Bartle, S. J., Kock, S. W., Preston, R. L., Wheeler, T. L. and Davis, G. W. 1987. Validation of urea dilution to estimate in vivo body composition in cattle, journal of Animal Science 64: 1024–1030.CrossRefGoogle Scholar
Bartle, S. J., Males, J. R. and Preston, R. L. 1983. Evaluation of urea dilution as an estimator of body composition in mature cows. Journal of Animal Science 56: 410–417.CrossRefGoogle ScholarPubMed
Bartle, S. J. and Preston, R. L. 1986. Plasma, rumen and urine pools in urea dilution determination of body composition in cattle. Journal of Animal Science 63: 77–82.CrossRefGoogle ScholarPubMed
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: 343–353.CrossRefGoogle Scholar
Chasson, A. L., Grady, A. J. and Stanley, M. A. 1961. Determination of creatinine by means of automatic chemical analysis. American Journal of Clinical Pathology 35: 83–88.CrossRefGoogle Scholar
Cowie, A. T., Forsyth, I. A. and Hart, I. C. 1980. Hormonal control of lactation, pp. 165–183. Springer-Verlag, Berlin.CrossRefGoogle ScholarPubMed
Flux, D. S., Mackenzie, D. D. S. and Wilson, G. F. 1984. Plasma metabolite and hormone concentrations in Friesian cows of differing genetic merit measured at two feeding levels. Animal Production 38: 377–384.Google Scholar
Gilmour, A. R. 1985. REG — A generalised linear models program. Miscellaneous bulletin, Division of Agricultural Services, Department of Agriculture, New South Wales, no. 1.Google Scholar
Hart, I. C., Bines, J. A., Balch, C. C. and Cowie, A. T. 1975. Hormone and metabolite differences between lactating beef and dairy cattle. Life Sciences 16: 1285–1292.CrossRefGoogle ScholarPubMed
Hart, I. C., Bines, J. A. and Morant, S. V. 1979. Endocrine control of energy metabolism in the cow: correlations of hormones and metabolites in high and low yielding cows for stages of lactation. Journal of Dairy Science 62: 270–277.CrossRefGoogle ScholarPubMed
Hart, I. C., Bines, J. A., Morant, S. V. and Ridley, J. L. 1978. Endocrine control of energy metabolism in the cow: comparison of the level of hormones (prolactin, growth hormone, insulin and thyroxine) and metabolites in the plasma of high and low-yielding cattle at various stages of lactation. Journal of Endocrinology 77: 333–345.CrossRefGoogle ScholarPubMed
Holmes, C. W. and Wilson, G. F. 1984. Milk production from pasture. Butterworths of New Zealand, Wellington.Google Scholar
Kock, S. W. and Preston, R. L. 1979. Estimation of bovine carcass composition by the urea dilution technique. Journal of Animal Science 48: 319–327.CrossRefGoogle Scholar
Koprowski, J. A. and Tucker, H. A. 1973. Bovine serum growth hormone, corticoids and insulin during lactation. Endocrinology 93: 645–651.CrossRefGoogle ScholarPubMed
Land, R. B., Carr, W. R., Hart, I. C., Osmond, T. J., Thompson, R. and Tilakaratne, N. 1983. Physiological attributes as possible selection criteria for milk production. 3. Plasma hormone concentrations and metabolite and hormonal responses to changes in energy equilibrium. Animal Production 37: 165–178.Google Scholar
McCann, J. P., Reimers, T. J. and Bergman, E. N. 1987. Glucose-dose dependent characteristics of insulin secretion in obese and lean sheep. Endocrinology 121: 553–560.CrossRefGoogle ScholarPubMed
McCutcheon, S. N. and Bauman, D. E. 1986. Effect of chronic growth hormone treatment on responses to epinephrine and thyrotropin-releasing hormone in lactating cows. Journal of Dairy Science 69: 44–51.CrossRefGoogle ScholarPubMed
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: 1–10.Google Scholar
Marsh, W. H., Fingerhut, B. and Muller, H. 1965. Automated and manual direct methods for the determination of blood urea. Clinical Chemistry 11: 624–627.CrossRefGoogle ScholarPubMed
Michel, A., McCutcheon, S. N., Mackenzie, D. D. S., Tait, R. M. and Wickham, B. W. 1991. Metabolic responses to exogenous bovine somatotropin in Friesian cows of low or high genetic merit. Domestic Animal Endocrinology 8: 293–306.CrossRefGoogle ScholarPubMed
Preston, R. L. and Kock, S. W. 1973. In vivo prediction of body composition in cattle from urea space measurements. Proceedings of the Society for Experimental Biology and Medicine 143: 1057–1061.CrossRefGoogle ScholarPubMed
Rowlands, G. J. 1980. A review of variations in the concentrations of metabolites in the blood of beef and dairy cattle associated with physiology, nutrition and disease, with particular reference to the interpretation of metabolic profiles. World Review of Nutrition and Dietetics 35: 172–235.CrossRefGoogle Scholar
Sejrsen, K., Larsen, F. and Andersen, B. B. 1984.Use of plasma hormone and metabolite levels to predict breeding value of young bulls for butterfat production. Animal Production 39: 335–344.Google Scholar
Sinnett-Smith, P. A., Slee, J. and Woolliams, J. A. 1987. Biochemical and physiological responses to metabolic stimuli in Friesian calves of differing genetic merit for milk production. Animal Production 44: 11–19.Google Scholar
Statistical Analysis Systems Institute. 1986. SAS user's guide: statistics. SAS Institute, Cary, NC.Google Scholar
Tilakaratne, N., Alliston, J. C., Carr, W. R., Land, R. B. and Osmond, T. J. 1980. Physiological attributes as possible selection criteria for milk production. 1. Study of metabolites in Friesian calves of high or low genetic merit. Animal Production 30: 327–340.Google Scholar
Trenkle, A. 1978. Relation of hormonal variations to nutritional studies and metabolism of ruminants, Journal of Dairy Science 61: 281–293.CrossRefGoogle ScholarPubMed
Trinder, P. 1969. Determination of glucose in blood using glucose oxidase with an alternative oxygen acceptor. Annals of Clinical Biochemistry 61: 24–27.CrossRefGoogle Scholar
Woolliams, J. A. and Smith, C. 1988. The value of indicator traits in the genetic improvement of dairy cattle. Animal Production 46: 333–345.CrossRefGoogle Scholar
Xing, G. Q. 1989. A study of physiological differences between low and high breeding index Friesian heifers. Ph.D. Thesis, Massey University, Palmerston North, New Zealand.Google Scholar
Xing, G. Q., Mackenzie, D. D. S., McCutcheon, S. N., Wilson, G. F. and Flux, D. S. 1988. Plasma metabolite and hormone concentrations in Friesian calves differing in genetic potential for milkfat production. New Zealand journal of Agricultural Research 31: 159–167.CrossRefGoogle Scholar