Introducing rice yield loss caused by weed competition into the SimulArroz model

Detalhes bibliográficos
Autor(a) principal: Richter, Gean Leonardo
Data de Publicação: 2019
Outros Autores: 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
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.
id EMBRAPA-4_999688998e1d7137a817c4162c01ae47
oai_identifier_str oai:ojs.seer.sct.embrapa.br:article/26638
network_acronym_str EMBRAPA-4
network_name_str Pesquisa Agropecuária Brasileira (Online)
repository_id_str
spelling 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
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.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
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_ 1793416715024990208