Improved climate forecast accuracy : implications for the aggregate sorghum supply curve /
(Jondaryan) and 18 in Texas, with and without SO information
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | (Jondaryan) and 18 in Texas, with and without SO information all prices with knowledge of SO forecasts. In Jondaryan, are developed assuming the producer does not have the SO changes in both regions. In Texas, nitrogen use declined at combination are identified for 19 sites, one in Australia expected aggregate supply curves weighted by hectares for for five prices and three SO events. From these site yields For Jondaryan, the with knowledge curve shifts right of the forecasts in their decision making. Biophysical simulation knowledge and assuming the producer has SO knowledge. In left of the without knowledge curve depending on the price. models are used to simulate crop yields. The optimal input modify their decisions by including long range climate nitrogen use increased at the lower prices and remained the Previous studies have shown sorghum yields are correlated prices the two curves converge. Aggregated nitrogen use same at higher prices. Texas and Jondaryan are developed. Aggregated supply curves Texas, the with SO knowledge supply curve shifts right or the most promising tools for long range climate forecasting. The Southern Oscillation (SO) phenomenon is currently one of There is evidence long range climate forecasts have improved. with SO events. This correlation may allow producers to without knowledge curve at the lower prices. At the higher |
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| Item Description: | "Major subject: Agricultural Economics". Vita. |
| Physical Description: | xii, 196 leaves : illustrations, maps ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |