Profitability of soybean crop, corn and bean grown under conditions of upland
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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Semina. Ciências Agrárias (Online) |
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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 10.5433/1679-0359.2015v36n5p2943 |
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 |
_version_ |
1750315418117996544 |