| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
A Dynamic Programming Approach to the Economic Control of Weed and Disease Infestations in Wheat
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| Autores: |
Fisher, Brian S.
Lee, R.R.
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| Data: |
2007-02-02
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| Ano: |
1981
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| Palavras-chave: |
Crop Production/Industries
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| Resumo: |
Weeds and fungal diseases cause significant losses to grain crops in Australia. In many cases cultural methods of control are effective. However, it is often difficult for farm decision-makers to select the optimum crop rotation, from an economic point of view, given the technical constraints they face. A decision to plant a particular crop will have implications for both current and future profitability because the current decision will alter the constraints faced by the decision-maker in subsequent periods. Dynamic programming is used to solve the rotation problem faced by grain growers in north-western New South Wales in areas where the weed, wild oats (A vena falua or A vena ludoviciana), and the disease, crown rot (Fusarium graminearum Group I), have a significant effect on wheat yields. The solutions to the dynamic programming problem suggest that in many circumstances a stable rotational pattern is appropriate. In the present case the model is solved for a set of conditions which is relevant to only a small part of the wheat-belt of New South Wales. However, the method can be applied to aid decision-making in individual cases where the user may wish to change the underlying agronomic assumptions of the model.
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| Tipo: |
Journal Article
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| Idioma: |
Inglês
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| Identificador: |
25361
http://purl.umn.edu/12237
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| Editor: |
AgEcon Search
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| Relação: |
Review of Marketing and Agricultural Economics>Volume 49, Number 03, December 1981
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| Formato: |
13
application/pdf
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