Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2008 |
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/155 |
Resumo: | The objective of this work was to elaborate and test models to estimate the irrigated rice yield, in Rio Grande do Sul State, Brazil. The study was carried out using meteorological data of minimum air temperature, global solar radiation and data of agricultural statistics about the irrigated rice yield, involving six rice production regions of Rio Grande do Sul, relative to crop years from 1982/1983 to 2005/2006. Analyses of yield technological tendencies were performed, and agrometeorological indicators for model adjustments of irrigated rice yields were established. There is a technological tendency of increasing the irrigated rice yield in the State. The analyzed meteorological variables – global solar radiation and days with minimum air temperature below or equal to 15°C – can be used as indicators of the irrigated rice yield. The adjusted agrometeorological models, elaborated for the six rice production regions and for the Rio Grande do Sul State, show characteristics of accuracy, easy implementation and low cost, which make them able to be introduced in the national program of crop forecast. |
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Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, BrazilModelagem agrometeorológica do rendimento de arroz irrigado no Rio Grande do SulOryza sativa; crop forecast; solar radiation; minimum temperatureOryza sativa; previsão de safras; radiação solar; temperatura mínimaThe objective of this work was to elaborate and test models to estimate the irrigated rice yield, in Rio Grande do Sul State, Brazil. The study was carried out using meteorological data of minimum air temperature, global solar radiation and data of agricultural statistics about the irrigated rice yield, involving six rice production regions of Rio Grande do Sul, relative to crop years from 1982/1983 to 2005/2006. Analyses of yield technological tendencies were performed, and agrometeorological indicators for model adjustments of irrigated rice yields were established. There is a technological tendency of increasing the irrigated rice yield in the State. The analyzed meteorological variables – global solar radiation and days with minimum air temperature below or equal to 15°C – can be used as indicators of the irrigated rice yield. The adjusted agrometeorological models, elaborated for the six rice production regions and for the Rio Grande do Sul State, show characteristics of accuracy, easy implementation and low cost, which make them able to be introduced in the national program of crop forecast.O objetivo deste trabalho foi elaborar e testar modelos para a estimativa de rendimento de arroz irrigado, no Estado do Rio Grande do Sul. O estudo foi realizado com dados meteorológicos de temperatura mínima do ar, radiação solar global e dados de estatísticas agrícolas de rendimento de arroz irrigado, das seis regiões orizícolas do Rio Grande do Sul, referentes às safras 1982/1983 até 2005/2006. Foram feitas análises de tendência tecnológica dos rendimentos, e foram estabelecidos os indicadores agrometeorológicos para o ajuste de modelos de estimativa de rendimento de arroz irrigado, para o Rio Grande do Sul. Existe tendência tecnológica de aumento nos rendimentos de arroz irrigado no Estado. As variáveis meteorológicas avaliadas – dias com temperatura mínima do ar inferior a 15°C e radiação solar global – podem ser usadas como indicadores do rendimento de arroz irrigado. Os modelos agrometeorológicos elaborados para as seis regiões orizícolas e para o Estado do Rio Grande do Sul apresentam características de precisão, fácil implementação e baixo custo e podem, portanto, ser introduzidos ao programa nacional de previsão de safras.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPqKlering, Eliana VeledaFontana, Denise CybisBerlato, Moacir AntonioFilho, Alberto Cargnelutti2008-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/155Pesquisa Agropecuaria Brasileira; v.43, n.5, maio 2008; 549-558Pesquisa Agropecuária Brasileira; v.43, n.5, maio 2008; 549-5581678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/155/5421https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/155/134info:eu-repo/semantics/openAccess2014-06-09T17:07:59Zoai:ojs.seer.sct.embrapa.br:article/155Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-06-09T17:07:59Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil Modelagem agrometeorológica do rendimento de arroz irrigado no Rio Grande do Sul |
title |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
spellingShingle |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil Klering, Eliana Veleda Oryza sativa; crop forecast; solar radiation; minimum temperature Oryza sativa; previsão de safras; radiação solar; temperatura mínima |
title_short |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
title_full |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
title_fullStr |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
title_full_unstemmed |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
title_sort |
Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil |
author |
Klering, Eliana Veleda |
author_facet |
Klering, Eliana Veleda Fontana, Denise Cybis Berlato, Moacir Antonio Filho, Alberto Cargnelutti |
author_role |
author |
author2 |
Fontana, Denise Cybis Berlato, Moacir Antonio Filho, Alberto Cargnelutti |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
CNPq |
dc.contributor.author.fl_str_mv |
Klering, Eliana Veleda Fontana, Denise Cybis Berlato, Moacir Antonio Filho, Alberto Cargnelutti |
dc.subject.por.fl_str_mv |
Oryza sativa; crop forecast; solar radiation; minimum temperature Oryza sativa; previsão de safras; radiação solar; temperatura mínima |
topic |
Oryza sativa; crop forecast; solar radiation; minimum temperature Oryza sativa; previsão de safras; radiação solar; temperatura mínima |
description |
The objective of this work was to elaborate and test models to estimate the irrigated rice yield, in Rio Grande do Sul State, Brazil. The study was carried out using meteorological data of minimum air temperature, global solar radiation and data of agricultural statistics about the irrigated rice yield, involving six rice production regions of Rio Grande do Sul, relative to crop years from 1982/1983 to 2005/2006. Analyses of yield technological tendencies were performed, and agrometeorological indicators for model adjustments of irrigated rice yields were established. There is a technological tendency of increasing the irrigated rice yield in the State. The analyzed meteorological variables – global solar radiation and days with minimum air temperature below or equal to 15°C – can be used as indicators of the irrigated rice yield. The adjusted agrometeorological models, elaborated for the six rice production regions and for the Rio Grande do Sul State, show characteristics of accuracy, easy implementation and low cost, which make them able to be introduced in the national program of crop forecast. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-10-21 |
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/155 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/155 |
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/155/5421 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/155/134 |
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.43, n.5, maio 2008; 549-558 Pesquisa Agropecuária Brasileira; v.43, n.5, maio 2008; 549-558 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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1793416687731605504 |