Profitability of soybean crop, corn and bean grown under conditions of upland

Detalhes bibliográficos
Autor(a) principal: Vivan, Gisele Aparecida
Data de Publicação: 2015
Outros Autores: Robaina, Adroaldo Dias, Peiter, Marcia Xavier, Parizi, Ana Rita Costenaro, Barboza, Fabrício da Silva, Soares, Fátima Cibele
Tipo de documento: Artigo
Idioma: por
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907
Resumo: The climate, particularly water availability, presents itself as a limiting factor to obtain yields close to the productive potential of crops, being the major cause of interannual variability in grain production and income in different regions of Brazil. In this context, this study aims to identify and characterize the effect of water stress on the yield of soybean crops, maize and beans and on the costs, gross income and profit from these in the region of Santiago, RS. Therefore, we used the calibrated DSSAT system and validated for the conditions and cultures being studied, and used the historical period 1961-2010 to generate production data for each crop. Data were adimensionalizados building on the potential production of each culture, establishing frequency histogram for assessing the risk of production loss in respect of each crop. Later they used historical data series costs and selling prices of crops in the same study period for performing simplified economic analysis. In terms of production, bean, corn and soybeans in 65%, 50% and 41% of the years, respectively, achieved yields below 50% of the potential of these crops. In economic terms, the biggest cost; gross income and average income are associated with corn, followed by the bean crop and soybean, respectively. The three crops, soybean, corn, beans, showed significant reductions in production and consequently profit depending on water restriction.
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spelling Profitability of soybean crop, corn and bean grown under conditions of uplandRendimento e rentabilidade das culturas da soja, milho e feijão cultivados sob condições de sequeiroComputational modelingWater availabilityGlycine max L.Zea mays L.Phaseolus vulgaris L.Modelagem computacionalDisponibilidade hídricaGlycine max L.Zea mays L.Phaseolus vulgaris L.Engenharia de água e soloModelagem computacionalThe climate, particularly water availability, presents itself as a limiting factor to obtain yields close to the productive potential of crops, being the major cause of interannual variability in grain production and income in different regions of Brazil. In this context, this study aims to identify and characterize the effect of water stress on the yield of soybean crops, maize and beans and on the costs, gross income and profit from these in the region of Santiago, RS. Therefore, we used the calibrated DSSAT system and validated for the conditions and cultures being studied, and used the historical period 1961-2010 to generate production data for each crop. Data were adimensionalizados building on the potential production of each culture, establishing frequency histogram for assessing the risk of production loss in respect of each crop. Later they used historical data series costs and selling prices of crops in the same study period for performing simplified economic analysis. In terms of production, bean, corn and soybeans in 65%, 50% and 41% of the years, respectively, achieved yields below 50% of the potential of these crops. In economic terms, the biggest cost; gross income and average income are associated with corn, followed by the bean crop and soybean, respectively. The three crops, soybean, corn, beans, showed significant reductions in production and consequently profit depending on water restriction. O clima, em especial a disponibilidade hídrica, apresenta-se como fator limitante à obtenção de rendimentos próximos ao potencial produtivo das culturas, constituindo-se na maior causa de variabilidade interanual na produção de grãos e na renda nas diversas regiões do Brasil. Neste contexto, o presente estudo objetiva identificar e caracterizar o efeito da restrição hídrica sobre o rendimento de grãos das culturas da soja, milho e feijão e sobre os custos, a renda bruta e lucro destas, na região de Santiago, RS. Para tanto, foi utilizado o sistema DSSat calibrado e validado para as condições e culturas em estudo, sendo utilizado o período histórico 1961-2010 para geração dos dados de produção referentes a cada safra. Os dados obtidos foram adimensionalizados tomando como base a produção potencial de cada cultura, sendo elaborado histograma de frequência para avaliação do risco de quebra de produção referente a cada safra. Posteriormente foram utilizadas séries de dados históricos de custos e preços de venda das culturas em estudo do mesmo período para realização de análise econômica simplificada. Em termos de produção, o feijão, o milho e a soja em 65%, 50% e 41% dos anos, respectivamente, obtiveram produções abaixo de 50% do potencial destas culturas. Em termos econômicos, o maior custo; renda bruta e lucro médio estão associado a cultura do milho, seguidos pela cultura do feijão e da soja, respectivamente. As três culturas, soja, milho, feijão, apresentaram significativas reduções de produção e consequentemente de lucro em função da restrição hídrica. UEL2015-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de campo, modelagem computacionalapplication/pdfimage/jpegimage/jpeghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/1490710.5433/1679-0359.2015v36n5p2943Semina: Ciências Agrárias; Vol. 36 No. 5 (2015); 2943-2950Semina: Ciências Agrárias; v. 36 n. 5 (2015); 2943-29501679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELporhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/17145https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/33511https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/36327Vivan, Gisele AparecidaRobaina, Adroaldo DiasPeiter, Marcia XavierParizi, Ana Rita CostenaroBarboza, Fabrício da SilvaSoares, Fátima Cibeleinfo:eu-repo/semantics/openAccess2015-11-19T18:34:31Zoai:ojs.pkp.sfu.ca:article/14907Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2015-11-19T18:34:31Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Profitability of soybean crop, corn and bean grown under conditions of upland
Rendimento e rentabilidade das culturas da soja, milho e feijão cultivados sob condições de sequeiro
title Profitability of soybean crop, corn and bean grown under conditions of upland
spellingShingle Profitability of soybean crop, corn and bean grown under conditions of upland
Vivan, Gisele Aparecida
Computational modeling
Water availability
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Modelagem computacional
Disponibilidade hídrica
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Engenharia de água e solo
Modelagem computacional
title_short Profitability of soybean crop, corn and bean grown under conditions of upland
title_full Profitability of soybean crop, corn and bean grown under conditions of upland
title_fullStr Profitability of soybean crop, corn and bean grown under conditions of upland
title_full_unstemmed Profitability of soybean crop, corn and bean grown under conditions of upland
title_sort Profitability of soybean crop, corn and bean grown under conditions of upland
author Vivan, Gisele Aparecida
author_facet Vivan, Gisele Aparecida
Robaina, Adroaldo Dias
Peiter, Marcia Xavier
Parizi, Ana Rita Costenaro
Barboza, Fabrício da Silva
Soares, Fátima Cibele
author_role author
author2 Robaina, Adroaldo Dias
Peiter, Marcia Xavier
Parizi, Ana Rita Costenaro
Barboza, Fabrício da Silva
Soares, Fátima Cibele
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Vivan, Gisele Aparecida
Robaina, Adroaldo Dias
Peiter, Marcia Xavier
Parizi, Ana Rita Costenaro
Barboza, Fabrício da Silva
Soares, Fátima Cibele
dc.subject.por.fl_str_mv Computational modeling
Water availability
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Modelagem computacional
Disponibilidade hídrica
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Engenharia de água e solo
Modelagem computacional
topic Computational modeling
Water availability
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Modelagem computacional
Disponibilidade hídrica
Glycine max L.
Zea mays L.
Phaseolus vulgaris L.
Engenharia de água e solo
Modelagem computacional
description The climate, particularly water availability, presents itself as a limiting factor to obtain yields close to the productive potential of crops, being the major cause of interannual variability in grain production and income in different regions of Brazil. In this context, this study aims to identify and characterize the effect of water stress on the yield of soybean crops, maize and beans and on the costs, gross income and profit from these in the region of Santiago, RS. Therefore, we used the calibrated DSSAT system and validated for the conditions and cultures being studied, and used the historical period 1961-2010 to generate production data for each crop. Data were adimensionalizados building on the potential production of each culture, establishing frequency histogram for assessing the risk of production loss in respect of each crop. Later they used historical data series costs and selling prices of crops in the same study period for performing simplified economic analysis. In terms of production, bean, corn and soybeans in 65%, 50% and 41% of the years, respectively, achieved yields below 50% of the potential of these crops. In economic terms, the biggest cost; gross income and average income are associated with corn, followed by the bean crop and soybean, respectively. The three crops, soybean, corn, beans, showed significant reductions in production and consequently profit depending on water restriction.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa de campo, modelagem computacional
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907
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url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907
identifier_str_mv 10.5433/1679-0359.2015v36n5p2943
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/17145
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/33511
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/14907/36327
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
image/jpeg
image/jpeg
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 36 No. 5 (2015); 2943-2950
Semina: Ciências Agrárias; v. 36 n. 5 (2015); 2943-2950
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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