Natural Resources Research Articles
A mathematical programming model of a crop-livestock farm system
Document Type
Article
Publication Date
10-1-2003
Journal Title
Agricultural Systems
ISSN
ISSN 0308-521X eISSN 1873-2267
Keywords
Dryland crop - livestock farming, Dryland farming research, Mathematical programming (MP) farming model, Crop and pasture production, Dryland farming, Mediterranean farming, Mediterranean climate, Soil types, Crop rotation
Disciplines
Agribusiness | Agricultural Economics | Agricultural Science | Agronomy and Crop Sciences | Beef Science | Climate | Dairy Science | Data Science | Natural Resources Management and Policy | Sheep and Goat Science | Soil Science | Statistical Models
Abstract
A whole-farm mathematical programming model has been built for dryland crop-livestock farms in Western Australia. The multidisciplinary approach used for model building is presented and the resulting model structure is described. It is a mixed integer programming model which represents, in some detail, the biological, technological and financial relationships of the farming system and stresses the interdependencies of enterprises. The model is used to investigate the extent to which positive interactions between different enterprises influence the optimal farm plan. The management issue considered is the division of land between crop and pasture production. It is concluded that, for the farming system considered, interactions do have an influence on profit and the optimal farm plan.
Recommended Citation
David A. Morrison, Ross S. Kingwell, David J. Pannell, Michael A. Ewing, A mathematical programming model of a crop-livestock farm system, Agricultural Systems, Volume 20, Issue 4, 1986, Pages 243-268, ISSN 0308-521X, https://doi.org/10.1016/0308-521X(86)90116-2.
