Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution

Detalhes bibliográficos
Autor(a) principal: Assis, Janilson Pinheiro de
Data de Publicação: 2006
Outros Autores: Neto, Durval Dourado, Nass, Luciano Lourenço, Manfron, Paulo Augusto, Bonnecarrère, Reinaldo Antonio Garcia, Martin, Thomas Newton
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/7171
Resumo: The objective of this work was to simulate the potential productivity of maize, through Monte Carlo method, using an agrometeorological stochastic model. The experiment was conduct in Piracicaba, State of São Paulo, Brazil, at 22o42'30''S, 47o38'30''W, and 546 m altitude, the climate of the region is Cwa type, tropical humid. Daily average values of temperature (from 1917 to 2002) and global solar radiation (from 1978 to 2002) were used. Statistical performance index was used to compare observed and simulated data. The probabilistic models developed to simulate temperature and solar radiation averages produced similar values to observed data through triangular distribution, and it can be used in stochastic models to predict maize potential productivity in different dates of sowing.
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spelling Stochastic simulation of climate parameters and potential productivity of maize using triangular distributionSimulação estocástica de atributos do clima e da produtividade potencial de milho utilizando-se distribuição triangularZea mays; probability distribution; method of Monte CarloZea mays; distribuição de probabilidade; método de Monte CarloThe objective of this work was to simulate the potential productivity of maize, through Monte Carlo method, using an agrometeorological stochastic model. The experiment was conduct in Piracicaba, State of São Paulo, Brazil, at 22o42'30''S, 47o38'30''W, and 546 m altitude, the climate of the region is Cwa type, tropical humid. Daily average values of temperature (from 1917 to 2002) and global solar radiation (from 1978 to 2002) were used. Statistical performance index was used to compare observed and simulated data. The probabilistic models developed to simulate temperature and solar radiation averages produced similar values to observed data through triangular distribution, and it can be used in stochastic models to predict maize potential productivity in different dates of sowing.O objetivo deste trabalho foi simular a produtividade potencial da cultura de milho, pelo método de Monte Carlo, utilizando um modelo agrometeorológico estocástico. O experimento foi conduzido em Piracicaba, SP, a 22o42'30''S, 47o38'30''W, e altitude de 546 m, o clima da região é do tipo Cwa (tropical úmido). Foram utilizados os valores médios diários de temperatura (de 1917 a 2002) e radiação solar global (de 1978 a 2002). Para comparar os dados reais com os simulados, foram utilizados índices de desempenho estatístico. Observou-se que os modelos probabilísticos, desenvolvidos para a simulação de dados médios diários de temperatura e de radiação solar global, geraram valores semelhantes aos observados por meio da distribuição triangular, a qual pode ser utilizada em modelo estocástico, para previsão da produtividade potencial de milho, nas diferentes épocas de semeadura.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraAssis, Janilson Pinheiro deNeto, Durval DouradoNass, Luciano LourençoManfron, Paulo AugustoBonnecarrère, Reinaldo Antonio GarciaMartin, Thomas Newton2006-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7171Pesquisa Agropecuaria Brasileira; v.41, n.3, mar. 2006; 539-543Pesquisa Agropecuária Brasileira; v.41, n.3, mar. 2006; 539-5431678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7171/4216info:eu-repo/semantics/openAccess2014-09-26T18:26:42Zoai:ojs.seer.sct.embrapa.br:article/7171Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-26T18:26:42Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
Simulação estocástica de atributos do clima e da produtividade potencial de milho utilizando-se distribuição triangular
title Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
spellingShingle Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
Assis, Janilson Pinheiro de
Zea mays; probability distribution; method of Monte Carlo
Zea mays; distribuição de probabilidade; método de Monte Carlo
title_short Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
title_full Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
title_fullStr Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
title_full_unstemmed Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
title_sort Stochastic simulation of climate parameters and potential productivity of maize using triangular distribution
author Assis, Janilson Pinheiro de
author_facet Assis, Janilson Pinheiro de
Neto, Durval Dourado
Nass, Luciano Lourenço
Manfron, Paulo Augusto
Bonnecarrère, Reinaldo Antonio Garcia
Martin, Thomas Newton
author_role author
author2 Neto, Durval Dourado
Nass, Luciano Lourenço
Manfron, Paulo Augusto
Bonnecarrère, Reinaldo Antonio Garcia
Martin, Thomas Newton
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Assis, Janilson Pinheiro de
Neto, Durval Dourado
Nass, Luciano Lourenço
Manfron, Paulo Augusto
Bonnecarrère, Reinaldo Antonio Garcia
Martin, Thomas Newton
dc.subject.por.fl_str_mv Zea mays; probability distribution; method of Monte Carlo
Zea mays; distribuição de probabilidade; método de Monte Carlo
topic Zea mays; probability distribution; method of Monte Carlo
Zea mays; distribuição de probabilidade; método de Monte Carlo
description The objective of this work was to simulate the potential productivity of maize, through Monte Carlo method, using an agrometeorological stochastic model. The experiment was conduct in Piracicaba, State of São Paulo, Brazil, at 22o42'30''S, 47o38'30''W, and 546 m altitude, the climate of the region is Cwa type, tropical humid. Daily average values of temperature (from 1917 to 2002) and global solar radiation (from 1978 to 2002) were used. Statistical performance index was used to compare observed and simulated data. The probabilistic models developed to simulate temperature and solar radiation averages produced similar values to observed data through triangular distribution, and it can be used in stochastic models to predict maize potential productivity in different dates of sowing.
publishDate 2006
dc.date.none.fl_str_mv 2006-03-01
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/7171
url https://seer.sct.embrapa.br/index.php/pab/article/view/7171
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/7171/4216
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.41, n.3, mar. 2006; 539-543
Pesquisa Agropecuária Brasileira; v.41, n.3, mar. 2006; 539-543
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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