Theme 32: Use of Information and Analytical Systems
Description
A simple linear model to evaluate different bull beef policies (BBP) by incorporating the stochastic nature of pasture yield from a database with separate chance constraints (ChC) was developed. A 100 ha farm was used, and the model was run with five different BBP and set to different levels of pasture yield risk to maximise production.ha-1.year-1. Summer was the most risky season, and the optimum mix of policies changed at different levels of risk. Chance constraint represents an interesting and simple alternative to include pasture variation into a linear model.
Citation
Machado, Claudio F.; Morris, S. T.; Dake, C.; MacDonald, A.; Brookes, I. M.; Di Croce, F.; Gonzalez, F.; and Auza, N. J., "A Chance-Constrained Linear Model for Beef Policy Analysis" (2022). IGC Proceedings (1993-2023). 6.
https://uknowledge.uky.edu/igc/19/32/6
Included in
A Chance-Constrained Linear Model for Beef Policy Analysis
A simple linear model to evaluate different bull beef policies (BBP) by incorporating the stochastic nature of pasture yield from a database with separate chance constraints (ChC) was developed. A 100 ha farm was used, and the model was run with five different BBP and set to different levels of pasture yield risk to maximise production.ha-1.year-1. Summer was the most risky season, and the optimum mix of policies changed at different levels of risk. Chance constraint represents an interesting and simple alternative to include pasture variation into a linear model.