Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062

Detalhes bibliográficos
Autor(a) principal: Araujo, Marla Alessandra
Data de Publicação: 2011
Outros Autores: Souza, Jorge Luiz Moretti de, Tsukahara, Rodrigo Yoiti
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5062
Resumo: The objective of this study was to evaluate the performance of simplified and agrometeorological models in the soybean crop productivity estimate, looking for crop season prediction and planning, in the Ponta Grossa region, Paraná State, Brazil. The soil of the studied region is classified as Typic Hapludox and the climate as Cfb. The soybean crop productivity (11 seasons) and climate data were provided by the ABC Foundation and SIMEPAR, respectively. The reference evapotranspiration was estimated by the Penman-Monteith method and the daily water balances were determined using a program especially developed for this purpose. After innumerable analyses, the best results were obtained when the following were considered: (a) the temporal distribution of real productivity of soybean crop seasons in two groups, which were called ‘Year 1’ and ‘Year 2’, according to the experimental crop rotation (b) the fit of model coefficient and factors to multiple regression analyses. The Stewart et al. (1976) and Jensen (1968) models provided the best productivity estimates (R2 > 0.73).
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spelling Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062Modelos agro-meteorológicos na estimativa da produtividade da cultura da soja na região de Ponta Grossa, Estado do Paraná - doi: 10.4025/actasciagron.v33i1.5062crops planningGlycine maxwater balanceplanejamento de safrasGlycine maxbalanço hídricoAgrometeorologiaThe objective of this study was to evaluate the performance of simplified and agrometeorological models in the soybean crop productivity estimate, looking for crop season prediction and planning, in the Ponta Grossa region, Paraná State, Brazil. The soil of the studied region is classified as Typic Hapludox and the climate as Cfb. The soybean crop productivity (11 seasons) and climate data were provided by the ABC Foundation and SIMEPAR, respectively. The reference evapotranspiration was estimated by the Penman-Monteith method and the daily water balances were determined using a program especially developed for this purpose. After innumerable analyses, the best results were obtained when the following were considered: (a) the temporal distribution of real productivity of soybean crop seasons in two groups, which were called ‘Year 1’ and ‘Year 2’, according to the experimental crop rotation (b) the fit of model coefficient and factors to multiple regression analyses. The Stewart et al. (1976) and Jensen (1968) models provided the best productivity estimates (R2 > 0.73).O presente estudo teve por objetivo avaliar o desempenho de modelos simplificados e agro-meteorológicos na estimativa da produtividade da cultura da soja, na região de Ponta Grossa, Estado do Paraná, visando à previsão e ao planejamento de safras. A região estudada possui Latossolo Vermelho distrófico típico e clima Cfb. Os dados de produtividade da cultura da soja (11 safras) e climáticos foram disponibilizados pela Fundação ABC e Simepar, respectivamente. A evapotranspiração de referência foi estimada com o método de Penman-Monteith e os balanços hídricos diários foram determinados com um programa desenvolvido especialmente para esta finalidade. Dentre as inúmeras análises realizadas, os melhores resultados foram obtidos, considerando-se: (a) a disposição temporal das produtividades reais das safras da cultura da soja em dois grupos, denominados ‘Ano 1’ e ‘Ano 2’, em função da rotação de culturas na região; (b) o ajuste dos coeficientes e fatores dos modelos em análises de regressão múltipla. Os modelos de Stewart et al. (1976) e Jensen (1968) possibilitaram as melhores estimativas de produtividade (R2 > 0,73).Universidade Estadual de Maringá2011-02-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de campo e laboratórioapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/506210.4025/actasciagron.v33i1.5062Acta Scientiarum. Agronomy; Vol 33 No 1 (2011); 23-31Acta Scientiarum. Agronomy; v. 33 n. 1 (2011); 23-311807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5062/5062Araujo, Marla AlessandraSouza, Jorge Luiz Moretti deTsukahara, Rodrigo Yoitiinfo:eu-repo/semantics/openAccess2022-11-23T18:38:09Zoai:periodicos.uem.br/ojs:article/5062Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:09Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
Modelos agro-meteorológicos na estimativa da produtividade da cultura da soja na região de Ponta Grossa, Estado do Paraná - doi: 10.4025/actasciagron.v33i1.5062
title Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
spellingShingle Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
Araujo, Marla Alessandra
crops planning
Glycine max
water balance
planejamento de safras
Glycine max
balanço hídrico
Agrometeorologia
title_short Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
title_full Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
title_fullStr Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
title_full_unstemmed Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
title_sort Agrometeorological models in the soybean crop productivity estimate, in Ponta Grossa region, State of Paraná, Brazil - doi: 10.4025/actasciagron.v33i1.5062
author Araujo, Marla Alessandra
author_facet Araujo, Marla Alessandra
Souza, Jorge Luiz Moretti de
Tsukahara, Rodrigo Yoiti
author_role author
author2 Souza, Jorge Luiz Moretti de
Tsukahara, Rodrigo Yoiti
author2_role author
author
dc.contributor.author.fl_str_mv Araujo, Marla Alessandra
Souza, Jorge Luiz Moretti de
Tsukahara, Rodrigo Yoiti
dc.subject.por.fl_str_mv crops planning
Glycine max
water balance
planejamento de safras
Glycine max
balanço hídrico
Agrometeorologia
topic crops planning
Glycine max
water balance
planejamento de safras
Glycine max
balanço hídrico
Agrometeorologia
description The objective of this study was to evaluate the performance of simplified and agrometeorological models in the soybean crop productivity estimate, looking for crop season prediction and planning, in the Ponta Grossa region, Paraná State, Brazil. The soil of the studied region is classified as Typic Hapludox and the climate as Cfb. The soybean crop productivity (11 seasons) and climate data were provided by the ABC Foundation and SIMEPAR, respectively. The reference evapotranspiration was estimated by the Penman-Monteith method and the daily water balances were determined using a program especially developed for this purpose. After innumerable analyses, the best results were obtained when the following were considered: (a) the temporal distribution of real productivity of soybean crop seasons in two groups, which were called ‘Year 1’ and ‘Year 2’, according to the experimental crop rotation (b) the fit of model coefficient and factors to multiple regression analyses. The Stewart et al. (1976) and Jensen (1968) models provided the best productivity estimates (R2 > 0.73).
publishDate 2011
dc.date.none.fl_str_mv 2011-02-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa de campo e laboratório
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5062
10.4025/actasciagron.v33i1.5062
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5062
identifier_str_mv 10.4025/actasciagron.v33i1.5062
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5062/5062
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 Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 33 No 1 (2011); 23-31
Acta Scientiarum. Agronomy; v. 33 n. 1 (2011); 23-31
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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