Introducing rice yield loss caused by weed competition into the SimulArroz model
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/26638 |
Resumo: | The objective of this work was to model weedy rice (Oryza sativa) and barnyard grass (Echinochloa spp.) competition with flood-irrigated rice, introducing it as a submodule into the SimulArroz model. The competition of both weeds with irrigated rice was modeled using the rectangular hyperbola equation. The “i” and “a” coefficients of the rectangular hyperbola for each of these weeds were obtained from the literature and from field experiments carried out in the state of Rio Grande do Sul, Brazil. In SimulArroz, yield loss was applied to penalize yield in all three technological levels (high, medium, and low) of physiological maturity. For weedy rice, the coefficient values of imean for the high, medium, and low technological levels were 1.04, 1.50, and 3.57 respectively, and, for barnyard grass, 4.70, 10.49, and 15.51 respectively. Coefficient “a” was 100 for weedy rice, and amean values for barnyard grass were 101.63, 104.92, and 96.88 for the high, medium, and low levels, respectively. The yield loss approach was suitable to model the competition of weedy rice and barnyard grass with irrigated rice. The submodule yield loss caused by the competition of weedy rice and barnyard grass with irrigated rice improves the predictive capacity of the SimulArroz model. |
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Introducing rice yield loss caused by weed competition into the SimulArroz modelIntrodução da perda de produtividade de arroz pela competição com plantas daninhas no modelo SimulArrozOryza sativa; barnyard grass; modeling; weedy rice; yield lossOryza sativa; capim-arroz; modelagem; arroz-daninho; perda de produtividadeThe objective of this work was to model weedy rice (Oryza sativa) and barnyard grass (Echinochloa spp.) competition with flood-irrigated rice, introducing it as a submodule into the SimulArroz model. The competition of both weeds with irrigated rice was modeled using the rectangular hyperbola equation. The “i” and “a” coefficients of the rectangular hyperbola for each of these weeds were obtained from the literature and from field experiments carried out in the state of Rio Grande do Sul, Brazil. In SimulArroz, yield loss was applied to penalize yield in all three technological levels (high, medium, and low) of physiological maturity. For weedy rice, the coefficient values of imean for the high, medium, and low technological levels were 1.04, 1.50, and 3.57 respectively, and, for barnyard grass, 4.70, 10.49, and 15.51 respectively. Coefficient “a” was 100 for weedy rice, and amean values for barnyard grass were 101.63, 104.92, and 96.88 for the high, medium, and low levels, respectively. The yield loss approach was suitable to model the competition of weedy rice and barnyard grass with irrigated rice. The submodule yield loss caused by the competition of weedy rice and barnyard grass with irrigated rice improves the predictive capacity of the SimulArroz model.O objetivo deste trabalho foi modelar a competição de arroz-daninho (Oryza sativa) e capim-arroz (Echinochloa spp.) com o arroz irrigado por inundação e introduzi-la como um submodelo no modelo SimulArroz. A competição das duas ervas daninhas com o arroz irrigado foi modelada com o uso da equação da hipérbole retangular. Os coeficientes “i” e “a” da hipérbole retangular referentes a cada erva foram obtidos na literatura e em experimentos de campo conduzidos no Rio Grande do Sul. No SimulArroz, a perda de produtividade foi aplicada para penalizar a produtividade nos três níveis tecnológicos (alto, médio e baixo) para maturidade fisiológica. Para o arroz-daninho, os valores do coeficiente imédio, para os níveis tecnológicos alto, médio e baixo, foram 1,04, 1,50 e 3,57, respectivamente, e, para o capim-arroz, foram 4,70, 10,49 e 15,51, respectivamente. O coeficiente “a” foi 100 para o arroz-daninho, e o amédio, para o capim-arroz, foi 101,63, 104,92, 96,88 para os níveis tecnológicos alto, médio e baixo, respectivamente. A abordagem de perda de produtividade foi adequada para modelar a competição de arroz-daninho e capim-arroz com o arroz irrigado. O submodelo de perda de produtividade pela competição de arroz-daninho e capim-arroz com o arroz irrigado melhora a capacidade preditiva do modelo SimulArroz.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)Richter, Gean LeonardoStreck, Nereu AugustoZanon, Alencar JuniorUlguim, André da RosaKruse, Nelson DiehlSantos, Gionei Alves de Assis dosCera, Jossana CeolinRibas, Giovana GhisleniDuarte Junior, Ary JoséPilecco, Isabela Bulegon2019-12-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/26638Pesquisa Agropecuaria Brasileira; V.54, Jan./Dec., 2019: Publicação contínua em volume anual; e01418Pesquisa Agropecuária Brasileira; V.54, Jan./Dec., 2019: Publicação contínua em volume anual; e014181678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/26638/14551Direitos autorais 2019 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2019-12-11T14:17:47Zoai:ojs.seer.sct.embrapa.br:article/26638Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2019-12-11T14:17:47Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Introducing rice yield loss caused by weed competition into the SimulArroz model Introdução da perda de produtividade de arroz pela competição com plantas daninhas no modelo SimulArroz |
title |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
spellingShingle |
Introducing rice yield loss caused by weed competition into the SimulArroz model Richter, Gean Leonardo Oryza sativa; barnyard grass; modeling; weedy rice; yield loss Oryza sativa; capim-arroz; modelagem; arroz-daninho; perda de produtividade |
title_short |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
title_full |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
title_fullStr |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
title_full_unstemmed |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
title_sort |
Introducing rice yield loss caused by weed competition into the SimulArroz model |
author |
Richter, Gean Leonardo |
author_facet |
Richter, Gean Leonardo Streck, Nereu Augusto Zanon, Alencar Junior Ulguim, André da Rosa Kruse, Nelson Diehl Santos, Gionei Alves de Assis dos Cera, Jossana Ceolin Ribas, Giovana Ghisleni Duarte Junior, Ary José Pilecco, Isabela Bulegon |
author_role |
author |
author2 |
Streck, Nereu Augusto Zanon, Alencar Junior Ulguim, André da Rosa Kruse, Nelson Diehl Santos, Gionei Alves de Assis dos Cera, Jossana Ceolin Ribas, Giovana Ghisleni Duarte Junior, Ary José Pilecco, Isabela Bulegon |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) |
dc.contributor.author.fl_str_mv |
Richter, Gean Leonardo Streck, Nereu Augusto Zanon, Alencar Junior Ulguim, André da Rosa Kruse, Nelson Diehl Santos, Gionei Alves de Assis dos Cera, Jossana Ceolin Ribas, Giovana Ghisleni Duarte Junior, Ary José Pilecco, Isabela Bulegon |
dc.subject.por.fl_str_mv |
Oryza sativa; barnyard grass; modeling; weedy rice; yield loss Oryza sativa; capim-arroz; modelagem; arroz-daninho; perda de produtividade |
topic |
Oryza sativa; barnyard grass; modeling; weedy rice; yield loss Oryza sativa; capim-arroz; modelagem; arroz-daninho; perda de produtividade |
description |
The objective of this work was to model weedy rice (Oryza sativa) and barnyard grass (Echinochloa spp.) competition with flood-irrigated rice, introducing it as a submodule into the SimulArroz model. The competition of both weeds with irrigated rice was modeled using the rectangular hyperbola equation. The “i” and “a” coefficients of the rectangular hyperbola for each of these weeds were obtained from the literature and from field experiments carried out in the state of Rio Grande do Sul, Brazil. In SimulArroz, yield loss was applied to penalize yield in all three technological levels (high, medium, and low) of physiological maturity. For weedy rice, the coefficient values of imean for the high, medium, and low technological levels were 1.04, 1.50, and 3.57 respectively, and, for barnyard grass, 4.70, 10.49, and 15.51 respectively. Coefficient “a” was 100 for weedy rice, and amean values for barnyard grass were 101.63, 104.92, and 96.88 for the high, medium, and low levels, respectively. The yield loss approach was suitable to model the competition of weedy rice and barnyard grass with irrigated rice. The submodule yield loss caused by the competition of weedy rice and barnyard grass with irrigated rice improves the predictive capacity of the SimulArroz model. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-11 |
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/26638 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/26638 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/26638/14551 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2019 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2019 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
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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.54, Jan./Dec., 2019: Publicação contínua em volume anual; e01418 Pesquisa Agropecuária Brasileira; V.54, Jan./Dec., 2019: Publicação contínua em volume anual; e01418 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
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Pesquisa Agropecuária Brasileira (Online) |
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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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