Simulating grain yield of irrigated rice in climate change scenarios
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
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/8437 |
Resumo: | The objective of this work was to simulate rice grain yield in climate change scenarios with increasing of current atmospheric CO2 concentration and increases in mean air temperature in Santa Maria, RS, as well as to verify possible implications on current recommendations of sowing period. Climate change scenarios for the next one hundred years considering doubled CO2 concentration and increases of 1, 2, 3, 4 and 5°C were used. Rice grain yield was simulated with the InfoCrop model. Simulations were performed considering three rice cultivars – IRGA 421, IRGA 417 and EPAGRI 109 – and seven sowing dates spaced monthly from July 20th to January 20th. An increase in rice grain yield was observed in the climate change scenarios simulated for the three cultivars, with higher increase for the very early cultivar (IRGA 421) and lower increase for the late cultivar (EPAGRI 109). If climate change takes place, currently sowing period recommended for irrigated rice shall be enlarged. |
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Simulating grain yield of irrigated rice in climate change scenariosSimulação do rendimento de grãos de arroz irrigado em cenários de mudanças climáticasOryza sativa; global warming; carbon dioxide; modelingOryza sativa; aquecimento global; dióxido de carbono; modelagemThe objective of this work was to simulate rice grain yield in climate change scenarios with increasing of current atmospheric CO2 concentration and increases in mean air temperature in Santa Maria, RS, as well as to verify possible implications on current recommendations of sowing period. Climate change scenarios for the next one hundred years considering doubled CO2 concentration and increases of 1, 2, 3, 4 and 5°C were used. Rice grain yield was simulated with the InfoCrop model. Simulations were performed considering three rice cultivars – IRGA 421, IRGA 417 and EPAGRI 109 – and seven sowing dates spaced monthly from July 20th to January 20th. An increase in rice grain yield was observed in the climate change scenarios simulated for the three cultivars, with higher increase for the very early cultivar (IRGA 421) and lower increase for the late cultivar (EPAGRI 109). If climate change takes place, currently sowing period recommended for irrigated rice shall be enlarged.O objetivo deste trabalho foi simular o rendimento de grãos de arroz em cenários de mudanças climáticas com aumento da atual concentração de CO2 na atmosfera e da temperatura média do ar em Santa Maria, RS, e verificar as implicações nas recomendações de época de semeadura. Foram utilizados cenários de mudanças climáticas, para os próximos 100 anos, com o dobro da quantidade de CO2 e com aumentos de temperatura do ar de 1, 2, 3, 4 e 5°C. O rendimento de grãos da cultura do arroz foi simulado com o modelo InfoCrop. As simulações foram realizadas para três cultivares de arroz (IRGA 421, IRGA 417 e EPAGRI 109) em sete datas de semeadura, com intervalos mensais, de 20 de julho até 20 de janeiro. Um aumento no rendimento de grãos de arroz irrigado foi observado nos cenários de mudanças climáticas simulado para as três cultivares, com maior incremento na muito precoce (IRGA 421) e menor na de ciclo longo (EPAGRI 109). Se as mudanças climáticas se confirmarem, o período de semeadura recomendado atualmente para cultivares de arroz irrigado deverá ser ampliado.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq, CAPESWalter, Lidiane CristineRosa, Hamilton TellesStreck, Nereu Augusto2011-01-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/8437Pesquisa Agropecuaria Brasileira; v.45, n.11, nov. 2010; 1237-1245Pesquisa Agropecuária Brasileira; v.45, n.11, nov. 2010; 1237-12451678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/8437/6091https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/8437/4136info:eu-repo/semantics/openAccess2014-11-13T16:12:17Zoai:ojs.seer.sct.embrapa.br:article/8437Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-11-13T16:12:17Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Simulating grain yield of irrigated rice in climate change scenarios Simulação do rendimento de grãos de arroz irrigado em cenários de mudanças climáticas |
title |
Simulating grain yield of irrigated rice in climate change scenarios |
spellingShingle |
Simulating grain yield of irrigated rice in climate change scenarios Walter, Lidiane Cristine Oryza sativa; global warming; carbon dioxide; modeling Oryza sativa; aquecimento global; dióxido de carbono; modelagem |
title_short |
Simulating grain yield of irrigated rice in climate change scenarios |
title_full |
Simulating grain yield of irrigated rice in climate change scenarios |
title_fullStr |
Simulating grain yield of irrigated rice in climate change scenarios |
title_full_unstemmed |
Simulating grain yield of irrigated rice in climate change scenarios |
title_sort |
Simulating grain yield of irrigated rice in climate change scenarios |
author |
Walter, Lidiane Cristine |
author_facet |
Walter, Lidiane Cristine Rosa, Hamilton Telles Streck, Nereu Augusto |
author_role |
author |
author2 |
Rosa, Hamilton Telles Streck, Nereu Augusto |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
CNPq, CAPES |
dc.contributor.author.fl_str_mv |
Walter, Lidiane Cristine Rosa, Hamilton Telles Streck, Nereu Augusto |
dc.subject.por.fl_str_mv |
Oryza sativa; global warming; carbon dioxide; modeling Oryza sativa; aquecimento global; dióxido de carbono; modelagem |
topic |
Oryza sativa; global warming; carbon dioxide; modeling Oryza sativa; aquecimento global; dióxido de carbono; modelagem |
description |
The objective of this work was to simulate rice grain yield in climate change scenarios with increasing of current atmospheric CO2 concentration and increases in mean air temperature in Santa Maria, RS, as well as to verify possible implications on current recommendations of sowing period. Climate change scenarios for the next one hundred years considering doubled CO2 concentration and increases of 1, 2, 3, 4 and 5°C were used. Rice grain yield was simulated with the InfoCrop model. Simulations were performed considering three rice cultivars – IRGA 421, IRGA 417 and EPAGRI 109 – and seven sowing dates spaced monthly from July 20th to January 20th. An increase in rice grain yield was observed in the climate change scenarios simulated for the three cultivars, with higher increase for the very early cultivar (IRGA 421) and lower increase for the late cultivar (EPAGRI 109). If climate change takes place, currently sowing period recommended for irrigated rice shall be enlarged. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-27 |
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/8437 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/8437 |
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/8437/6091 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/8437/4136 |
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.45, n.11, nov. 2010; 1237-1245 Pesquisa Agropecuária Brasileira; v.45, n.11, nov. 2010; 1237-1245 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 |
_version_ |
1793416675162324992 |