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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
07/02/2020 |
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Data da última atualização: |
07/02/2020 |
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Autoria: |
RICHTER, G. L.; STRECK, N. A.; ZANON, A. J.; ULGUIM, A. da R.; KRUSE, N. D.; SANTOS, G. A. de A. dos; CERA, J. C.; RIBAS, G. G.; DUARTE JUNIOR, A. J.; PILECCO, I. B. |
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Afiliação: |
Gean Leonardo Richter, Universidade Federal de Santa Maria - UFSM; Nereu Augusto Streck, Universidade Federal de Santa Maria - UFSM; Alencar Junior Zanon, Universidade Federal de Santa Maria - UFSM; André da Rosa Ulguim, Universidade Federal de Santa Maria - UFSM; Nelson Diehl Kruse, Universidade Federal de Santa Maria - UFSM; Gionei Alves de Assis dos Santos, Instituto Rio Grandense do Arroz - IRGA; Jossana Ceolin Cera, Instituto Rio Grandense do Arroz - IRGA; Giovana Ghisleni Ribas, Universidade Federal de Santa Maria - UFSM; Ary José Duarte Junior, Universidade Federal de Santa Maria - UFSM; Isabela Bulegon Pilecco, Universidade Federal de Santa Maria - UFSM. |
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Título: |
Introducing rice yield loss caused by weed competition into the SimulArroz model. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 54, e01418, 2019. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Introdução da perda de produtividade de arroz pela competição com plantas daninhas no modelo SimulArroz. |
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Conteúdo: |
he 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 were101.63, 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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Palavras-Chave: |
Arroz daninho; Barnyard grass; Modelagem; Modeling; Perda de produtividade; Weedy rice; Yield loss. |
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Thesagro: |
Capim Arroz; Oryza Sativa. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210438/1/Introducing-rice-yield-loss.pdf
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Marc: |
LEADER 02358naa a2200349 a 4500
001 2120007
005 2020-02-07
008 2019 bl uuuu u00u1 u #d
100 1 $aRICHTER, G. L.
245 $aIntroducing rice yield loss caused by weed competition into the SimulArroz model.$h[electronic resource]
260 $c2019
500 $aTítulo em português: Introdução da perda de produtividade de arroz pela competição com plantas daninhas no modelo SimulArroz.
520 $ahe 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 were101.63, 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.
650 $aCapim Arroz
650 $aOryza Sativa
653 $aArroz daninho
653 $aBarnyard grass
653 $aModelagem
653 $aModeling
653 $aPerda de produtividade
653 $aWeedy rice
653 $aYield loss
700 1 $aSTRECK, N. A.
700 1 $aZANON, A. J.
700 1 $aULGUIM, A. da R.
700 1 $aKRUSE, N. D.
700 1 $aSANTOS, G. A. de A. dos
700 1 $aCERA, J. C.
700 1 $aRIBAS, G. G.
700 1 $aDUARTE JUNIOR, A. J.
700 1 $aPILECCO, I. B.
773 $tPesquisa Agropecuária Brasileira$gv. 54, e01418, 2019.
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Embrapa Unidades Centrais (AI-SEDE) |
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| 1. |  | BATISTELLA, M.; ALVES, D. S.; MORAN, E. F.; SOUZA, Jr. C.; WALKER, R.; WALSH, S. J. People and environment in Amazonia: the LBA experience and other perspectives. change. In: KELLER, M.; BUSTAMANTE, M.; GASH, J.; DIAS, P. S. (Ed.). Amazonia and global Washington: American Geophysical Union, 2009. p. 1-10 (Geophysical Monograph, 186)| Tipo: Capítulo em Livro Técnico-Científico |
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| 2. | | ALVES, D. S.; MORTON, D. C.; BATISTELLA, M.; ROBERTS, D. A.; SOUZA JR, C. The changing rates and patterns of deforestation and land use in Brazilian Amazonia. In: KELLER, M.; BUSTAMANTE, M.; GASH, J.; DIAS, P. S. (Ed.). Amazonia and global change. Washington: American Geophysical Union, 2009. p. 11-24. (Geophysical Monograph, 186)| Tipo: Capítulo em Livro Técnico-Científico |
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