On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat

Detalhes bibliográficos
Autor(a) principal: Meinke,H.
Data de Publicação: 1997
Outros Autores: Stone,R.C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014
Resumo: 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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spelling On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheatclimatic variabilitycrop and systems modellingcrop production forecastsThe 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.Escola Superior de Agricultura "Luiz de Queiroz"1997-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014Scientia Agricola v.54 n.spe 1997reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90161997000300014info:eu-repo/semantics/openAccessMeinke,H.Stone,R.C.eng2005-05-31T00:00:00Zoai:scielo:S0103-90161997000300014Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2005-05-31T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
title On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
spellingShingle On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
Meinke,H.
climatic variability
crop and systems modelling
crop production forecasts
title_short On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
title_full On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
title_fullStr On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
title_full_unstemmed On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
title_sort On tactical crop management using seasonal climate forecasts and simulation modelling: a case study for wheat
author Meinke,H.
author_facet Meinke,H.
Stone,R.C.
author_role author
author2 Stone,R.C.
author2_role author
dc.contributor.author.fl_str_mv Meinke,H.
Stone,R.C.
dc.subject.por.fl_str_mv climatic variability
crop and systems modelling
crop production forecasts
topic climatic variability
crop and systems modelling
crop production forecasts
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.
publishDate 1997
dc.date.none.fl_str_mv 1997-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161997000300014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90161997000300014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.54 n.spe 1997
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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