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Deterministic predictions of beef cow herd population dynamics with alternative replacement strategies

Published online by Cambridge University Press:  18 August 2016

P. R. Amer*
Affiliation:
Abacus Biotech Limited, PO Box 5585, Dunedin, New Zealand
T. Roughsedge
Affiliation:
Animal Biology Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
B. Lowman
Affiliation:
Farm and Rural Business Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
G. Simm
Affiliation:
Animal Biology Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
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Abstract

A deterministic method of predicting numbers of each animal class present over time in a beef cow herd with multiple calving seasons per year is described. Breeding cow classes are defined according to the number of generations of descent from the cows in the herd prior to the introduction of a specific heifer replacement breeding policy. Cow classes are further divided into subgroups defined according to age of cow, calving interval and whether or not the cow was last mated to a terminal sire. The method is demonstrated by showing the evolution of herd breed make-up with several alternative replacement female breeding policies including grading-up, two-breed rotation and three-breed rotation breeding policies. For an example herd, the first generation of replacements peaked at approximately 0·4 of the herd at 6 years after the first matings for a new breeding system. Later generations of replacements reached equivalent proportions of the herd to the previous generation approximately 3·3 years later, with peak proportions at approximately 0·25 of the herd. Differences in the relative levels of expression of heterosis for grade up versus rotational replacement policies increased steadily from 5 years onwards with 0·17 of the heterosis expected in a herd of F1 cows remaining 20 years after the first matings of the new breeding system. The two-breed grading-up system showed less heterosis than the three-breed grading-up system only after 8 years, with the difference increasing to 0·16 of the heterosis in an F1 herd after 20 years. Results are also presented showing the difference in contributions of breeds to the herd gene pool over time with the different breeding systems. With the rotational systems, breeds lag by approximately 3 years in the timing of their contribution according to the order of their introduction to the rotation. The effects of faster heifer replacement rates on results were also discussed. It is concluded that short-to medium-term impacts of breed and replacement breeding system choices are likely to be more relevant in practical decision making by suckler herd managers than the characteristics of breeding systems once herds have reached genetic equilibrium.

Type
Non-ruminant nutrition, behaviour and production
Copyright
Copyright © British Society of Animal Science 2003

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References

Amer, P. and Emmans, G. C. 1998. Predicting changes in food energy requirements due to genetic changes in growth and body composition of growing ruminants. Animal Science 66: 143153.Google Scholar
Bruce, J. M., Broadbent, P. J. and Topps, J. H. 1984. A model of the energy system of lactating and pregnant cows. Animal Production 38: 351362.Google Scholar
Jenkins, T. G. and Williams, C. B. 1998. Deci-decision evaluator for the cattle industry. Proceedings of the sixth world congress on genetics applied to livestock production, Armidale, vol. 27, pp. 461462.Google Scholar
Pang, H., Makarechian, M., Basarab, J. A. and Berg, R. T. 1999. Structure of a dynamic simulation model for beef cattle production systems. Canadian Journal of Animal Science 79: 409417.Google Scholar
Roughsedge, T., Amer, P. R. and Simm, G. 2003. A bio-economic model for the evaluation of breeds and mating systems in beef production enterprises. Animal Science 77: 403416.CrossRefGoogle Scholar
Roughsedge, T., Thompson, R., Villanueva, B. and Simm, G. 2001. Synthesis of direct and maternal genetic components of economically important traits from beef breed-cross evaluations. Journal of Animal Science 79: 23072319.Google Scholar