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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
01/12/2015 |
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Data da última atualização: |
03/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
STIEGELMEIER, E. W.; OLIVEIRA, V. A.; SILVA, G. N.; KARAM, D. |
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Afiliação: |
DECIO KARAM, CNPMS. |
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Título: |
Optimal weed population control using nonlinear programming. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Computational and Applied Mathematics, Petrópolis, v. 36, p. 1043-1065, 2017. |
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DOI: |
10.1007/s40314-015-0280-x |
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Idioma: |
Inglês |
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Notas: |
Publicado online em 11 out. 2015. |
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Conteúdo: |
A dynamic optimization model for weed infestation control using selective herbicide application in a corn crop system is presented. The seed bank density of the weed population and frequency of dominant or recessive alleles are taken as state variables of the growing cycle. The control variable is taken as the dose?response function. The goal is to reduce herbicide usage, maximize profit in a pre-determined period of time and minimize the environmental impacts caused by excessive use of herbicides. The dynamic optimization model takes into account the decreased herbicide efficacy over time due to weed resistance evolution caused by selective pressure. The dynamic optimization problem involves discrete variables modeled as a nonlinear programming (NLP) problem which was solved by an active set algorithm (ASA) for box-constrained optimization. Numerical simulations for a case study illustrate the management of the Bidens subalternans in a corn crop by selecting a sequence of only one type of herbicide. The results on optimal control discussed here will give support to make decision on the herbicide usage in regions where weed resistance was reported by field observations. |
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Palavras-Chave: |
Planta daninha. |
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Thesagro: |
Erva daninha; Herbicida; Milho. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01871naa a2200229 a 4500 001 2030136 005 2017-07-03 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1007/s40314-015-0280-x$2DOI 100 1 $aSTIEGELMEIER, E. W. 245 $aOptimal weed population control using nonlinear programming.$h[electronic resource] 260 $c2017 500 $aPublicado online em 11 out. 2015. 520 $aA dynamic optimization model for weed infestation control using selective herbicide application in a corn crop system is presented. The seed bank density of the weed population and frequency of dominant or recessive alleles are taken as state variables of the growing cycle. The control variable is taken as the dose?response function. The goal is to reduce herbicide usage, maximize profit in a pre-determined period of time and minimize the environmental impacts caused by excessive use of herbicides. The dynamic optimization model takes into account the decreased herbicide efficacy over time due to weed resistance evolution caused by selective pressure. The dynamic optimization problem involves discrete variables modeled as a nonlinear programming (NLP) problem which was solved by an active set algorithm (ASA) for box-constrained optimization. Numerical simulations for a case study illustrate the management of the Bidens subalternans in a corn crop by selecting a sequence of only one type of herbicide. The results on optimal control discussed here will give support to make decision on the herbicide usage in regions where weed resistance was reported by field observations. 650 $aErva daninha 650 $aHerbicida 650 $aMilho 653 $aPlanta daninha 700 1 $aOLIVEIRA, V. A. 700 1 $aSILVA, G. N. 700 1 $aKARAM, D. 773 $tComputational and Applied Mathematics, Petrópolis$gv. 36, p. 1043-1065, 2017.
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Embrapa Milho e Sorgo (CNPMS) |
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| 1. |  | MONTASSIER, M. F. S.; BRENTANO, L.; RICHTZENHAIN, L. J.; OKINO, C. H.; MONTASSIER, H. J. Genetic diversity of partial S1 an N gene sequences of infectious bronckitis virus isolates from Brazil. Virus Reviews and Research, v. 15, supl. 1, p. 196, oct. 2010. Trabalho apresentado no NATIONAL MEETING OF VIROLOGY, 21.; MERCOSUL MEETING OF VIROLOGY, 5. Projeto/Plano de Ação: 03.09.01900-01.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 2. |  | MONTASSIER, M. F. S.; BRENTANO, L.; RICHTZENHAIN, L. J.; MONTASSIER, H. J. Diversity in relevant epitopes of S1 glycoprotein and nucleocapsid (N) protein of Brazilian variants of infectious bronchitis virus. Virus Reviews and Research, v. 15, supl. 1, p. 196, oct. 2010. Trabalho apresentado no NATIONAL MEETING OF VIROLOGY, 21.; MERCOSUL MEETING OF VIROLOGY, 5. Projeto/Plano de Ação: 03.09.01900-01.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 3. |  | FERNANDO, F. S.; OKINO, C. H.; SILVA, K. R.; FERNANDES, C. C.; GONÇALVES, M. C. M.; MONTASSIER, M. F. S.; VASCONCELOS, R. O.; MONTASSIER, H. J. Increased expression of Interleukin-6 related to nephritis in chickens challenged with an Avian infectious bronchitis virus variant. Pesquisa Veterinária Brasileira, Brasília, DF, v. 35, n. 3, p. 216-222, mar. 2015.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 4. |  | BORZI, M. M.; PIZA, V. T.; MONTASSIER, M. F. S.; MORA, A. G.; OKINO, C. H.; REISCHAK, D.; MENDONÇA, A.; MONTASSIER, H. J. Development of a microplate immunocapture (IC) RT-PCR assays for the detection of avian influenza virus (AIV) and infectious bronchitis virus (IBV). In: BRAZILIAN CONGRESS OF VIROLOGY, 23.; MERCOSUR MEETING OF VIROLOGY, 7., 2012, Foz do Iguaçu. Virus and Research? Foz do Iguaçu: SBV, 2012. p.468-469. Journal of the Brazilian Society for Virology, v. 17, n. 2, suppl. 1, 2012. Projeto/Plano de Ação: 11.11.11.111.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. |  | BORZI, M. M.; MONTASSIER, M. F. S.; OLIVEIRA, E. S.; SILVA, K. R.; SILVA, F. S.; OKINO, C. H.; MONTASSIER, H. J.; REISCHAK, D.; MENDONÇA, A. de O. Cloned nucleoprotein (NP) gene of avian influenza virus for using as a positive control in SYBR green I real time RT-PCR (RRT-PCR). In: BRAZILIAN CONGRESS OF VIROLOGY, 23.; MERCOSUR MEETING OF VIROLOGY, 7., 2012, Foz do Iguaçu. Virus and Research? Foz do Iguaçu: SBV, 2012. p. 409. Journal of the Brazilian Society for Virology, v. 17, n. 2, suppl. 1, 2012. Projeto/Plano de Ação: 11.11.11.111.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 5 | |
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