A NOTE ON LIVESTOCK BREEDING POLICIES IN STABLE AND DEVELOPMENT SITUATIONS
Patrick F. Byrne, A.T.A. Healy
Abstract
Open-access reader
Patrick F. Byrne, A.T.A. Healy
Abstract
Open-access reader
Multi‐stage linear programming is used to develop sheep replacement policies in a number of different situations. Policies are developed for eight and sixteen year periods assuming, firstly a constant feed supply, and secondly, an increasing feed supply over the period. The results show the optimal flock composition together with the sheep sale activities for each year of the plan. The marginal value products indicate which constraints are the most important and whether any should be relaxed in order to make the model more realistic. It is concluded that it is not necessary to use a very long planning period in order to determine the activities for the early years. The results from the shorter planning period appear to be consistent with long‐term goals.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Multi‐stage linear programming is used to develop sheep replacement policies in a number of different situations. Policies are developed for eight and sixteen year periods assuming, firstly a constant feed supply, and secondly, an increasing feed supply over the period. The results show the optimal flock composition together with the sheep sale activities for each year of the plan. The marginal value products indicate which constraints are the most important and whether any should be relaxed in order to make the model more realistic. It is concluded that it is not necessary to use a very long planning period in order to determine the activities for the early years. The results from the shorter planning period appear to be consistent with long‐term goals.
Key concepts: Flock, Order (exchange), Livestock, Plan (archaeology), Value (mathematics), Economics, Term (time), Constant (computer programming)