Agrometeorological modelling of irrigated rice yield in Rio Grande do Sul, Brazil

Detalhes bibliográficos
Autor(a) principal: Klering, Eliana Veleda
Data de Publicação: 2008
Outros Autores: Fontana, Denise Cybis, Berlato, Moacir Antonio, Filho, Alberto Cargnelutti
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.
id EMBRAPA-4_4718566f7a30a2d0d11eb96e607009d1
oai_identifier_str oai:ojs.seer.sct.embrapa.br:article/155
network_acronym_str EMBRAPA-4
network_name_str Pesquisa Agropecuária Brasileira (Online)
repository_id_str
spelling 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
_version_ 1793416687731605504