On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
The El Niño/Southern Oscillation phenomenon strongly influences rainfall distribution around the world. Using phases of the Southern Oscillation Index (SOI) allows a probabilistic forecast of future rainfall that can be useful to managers of agricultural systems. Using wheat as an example, we show in this study how the SOI phase system, when combined with a cropping systems simulation capability, can be used operationally to Improve tactical crop management and hence increase farm profits and/or decrease production risks. We show the validity of the approach for two contrasting locations, namely Dalby in Northern Australian and Piracicaba in Brazil At Dalby, highest median yields were achieved following a rapidly rising SOI phase in April/May and lowest median yields following a consistently negative phase. Conversely, highest median yields at Piracicaba followed a near zero April/May phase and lowest median yields when the phase was consistently positive. We show how tactical management options can range from crop or cultivar choice to nitrogen management and marketing of the future wheat crop.
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Escola Superior de Agricultura "Luiz de Queiroz"
1997
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oai:scielo:S0103-901619970003000142005-05-31On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheatMeinke,H.Stone,R.C. climatic variability crop and systems modelling crop production forecasts The El Niño/Southern Oscillation phenomenon strongly influences rainfall distribution around the world. Using phases of the Southern Oscillation Index (SOI) allows a probabilistic forecast of future rainfall that can be useful to managers of agricultural systems. Using wheat as an example, we show in this study how the SOI phase system, when combined with a cropping systems simulation capability, can be used operationally to Improve tactical crop management and hence increase farm profits and/or decrease production risks. We show the validity of the approach for two contrasting locations, namely Dalby in Northern Australian and Piracicaba in Brazil At Dalby, highest median yields were achieved following a rapidly rising SOI phase in April/May and lowest median yields following a consistently negative phase. Conversely, highest median yields at Piracicaba followed a near zero April/May phase and lowest median yields when the phase was consistently positive. We show how tactical management options can range from crop or cultivar choice to nitrogen management and marketing of the future wheat crop.info:eu-repo/semantics/openAccessEscola Superior de Agricultura "Luiz de Queiroz"Scientia Agricola v.54 n.spe 19971997-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014en10.1590/S0103-90161997000300014 |
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Meinke,H. Stone,R.C. |
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Meinke,H. Stone,R.C. On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
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Meinke,H. Stone,R.C. |
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Meinke,H. |
title |
On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
title_short |
On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
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On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
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On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
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On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
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on tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat |
description |
The El Niño/Southern Oscillation phenomenon strongly influences rainfall distribution around the world. Using phases of the Southern Oscillation Index (SOI) allows a probabilistic forecast of future rainfall that can be useful to managers of agricultural systems. Using wheat as an example, we show in this study how the SOI phase system, when combined with a cropping systems simulation capability, can be used operationally to Improve tactical crop management and hence increase farm profits and/or decrease production risks. We show the validity of the approach for two contrasting locations, namely Dalby in Northern Australian and Piracicaba in Brazil At Dalby, highest median yields were achieved following a rapidly rising SOI phase in April/May and lowest median yields following a consistently negative phase. Conversely, highest median yields at Piracicaba followed a near zero April/May phase and lowest median yields when the phase was consistently positive. We show how tactical management options can range from crop or cultivar choice to nitrogen management and marketing of the future wheat crop. |
publisher |
Escola Superior de Agricultura "Luiz de Queiroz" |
publishDate |
1997 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014 |
work_keys_str_mv |
AT meinkeh ontacticalcropmanagementusingseasonalclimateforecastsandsimulationmodellingacasestudyforwheat AT stonerc ontacticalcropmanagementusingseasonalclimateforecastsandsimulationmodellingacasestudyforwheat |
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1756406861099171840 |