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A linear programme appproach to optimise the new reproductive technologies in commercial dairy herds to maximise net returns

Published online by Cambridge University Press:  20 November 2017

C. M. Yates
Affiliation:
The University of Reading, Earley Gate, P.O.Box 236, Reading, RG6 2AT
T. Rehman
Affiliation:
The University of Reading, Earley Gate, P.O.Box 236, Reading, RG6 2AT
A. T. Chamberlain
Affiliation:
The University of Reading, Earley Gate, P.O.Box 236, Reading, RG6 2AT
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Extract

In Britain a range of new reproductive technologies for increasing annual milk yield through the genetic improvement of the herd or for improving the quality of beef calves produced are becoming available to the dairy industry or at a ‘near market’ state of development. Simulation models evaluating the potential physical and economic consequences of adopting a single technology into a dairy enterprise have been constructed (Yates, Rehman, and Chamberlain, 1995a and 1995b), however, these models rely upon predetermined strategies and do not take into account the potential of using several technologies simultaneously. This paper demonstrates a Markovian decision process which allows the choice of several technologies in determining optimal breeding strategy in economic terms by using a linear programme.

Type
Ruminant Reproduction
Copyright
Copyright © The British Society of Animal Science 1995

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References

McGuirk, B. J., 1994. MAFF calf price survey. Ministry of Agriculture Food and Fisheries, London.Google Scholar
MMB, 1994. Prices. Milk producer, 41 (2):36.Google Scholar
Yates, C.M., Rehman, T. and Chamberlain, A. T., 1995a. The development of a Markov chain model for the potential effects of embryo transfer on milk production. BSAS winter meeting, 1995. Paper 133.10.1017/S0308229600028993CrossRefGoogle Scholar
Yates, C. M., Rehman, T. and Chamberlain, A. T., 1995b. An economic assessment of the impact of new reproductive technologies on commercial dairy and beef herds. BSAS winter meeting, 1995. Paper 134.10.1017/S0308229600029007CrossRefGoogle Scholar