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| Wimalasuriya, Rukman; Eigenraam, Mark. |
| Modelling of cropping or crop-pasture rotations to date has been based on a predetermined, restricted set of rotations as “activities” of a Linear Programming matrix. This approach limits the use of such models to evaluate new crop varieties and potential rotations. It also results in the necessity to build entirely new models for each agro-climatic region due to differences in crop and rotation choices that are available. This paper presents an alternative model that solves for the optimal rotation from all theoretically possible rotations. Each crop in the optimal solution is determined given the paddock history of the previous two years. The choice of options to maximise farm profit (or gross margin) depends mainly on the crop yields and prices. The... |
| Tipo: Presentation |
Palavras-chave: Crop Production/Industries. |
| Ano: 2000 |
URL: http://purl.umn.edu/123740 |
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| Wimalasuriya, Rukman; Ha, Arthur; Tsafack, Esther; Larson, Kristoffer. |
| Conventional wisdom holds that rainfall variability represents a significant source of agriculture production risk. Surprisingly, there have been very few economic analyses exploring the link between rainfall variability and agriculture production. This paper is intended to investigate the factual basis of this assumption and to inform future government policy in such areas as drought, climate change adaptation and water policy. We investigate whether rainfall variability has had an actual impact on agricultural production, specifically dryland cropping in Victorian regions during the period 1982-83 to 2004-05. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Productivity Analysis; Risk and Uncertainty. |
| Ano: 2008 |
URL: http://purl.umn.edu/6000 |
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