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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
28/09/2018 |
Data da última atualização: |
15/03/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BOGGIONE, I. M.; ANDRADE, C. de L. T. de; BORGES JÚNIOR, J. C. F.; VIANA, J. H. M. |
Afiliação: |
Ivaldo Martins Boggione, Emater-MG; CAMILO DE LELIS TEIXEIRA DE ANDRADE, CNPMS; João Carlos Ferreira Borges Júnior, Universidade Federal de São João del-Rei; JOAO HERBERT MOREIRA VIANA, CNPMS. |
Título: |
Modeling applied to sowing date of irrigated maize. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 17, n. 2, p. 201-215, 2018. |
Idioma: |
Inglês |
Conteúdo: |
In Brazil, the rainfed maize crop may undergo yield breaks due to uncertainties in the rainfall distribution. Irrigation can be a management alternative that, however, requires evaluation and planning to be helpful. The objective of this work was to analyze the simulated yield data of irrigated maize in counties of Minas Gerais state, Brazil. The CSM-CERES-Maize model was used to simulated weekly sowings of maize considering optimum agronomic conditions. A sprinkler irrigation scheme with 80% efficiency was used with automatic applications when the crop withdrew 50% of the soil available water. The harvest was scheduled to happen automatically when the crop had reached physiological maturity. The results were statistically analyzed for each county, based on goodness of fit test, ANOVA, Tukey?s test and risk analysis (stochastic dominance). The most promising sowing period was from January 16 to March 27 for all locations, except for Janaúba, for which the best sowing window was from November 14 to January 2. The treatments of highest average simulated maize yield stochastically dominated the other treatments evaluated. The CSM-CERES-Maize model proved to be a useful tool to help making decision in irrigated maize crop systems. |
Palavras-Chave: |
CSM-CERES-Maize; DSSAT; Modelagem. |
Thesagro: |
Análise de Risco; Irrigação; Modelo de Simulação. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183690/1/Modeling-applied.pdf
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Marc: |
LEADER 01920naa a2200229 a 4500 001 2096580 005 2019-03-15 008 2018 bl uuuu u00u1 u #d 100 1 $aBOGGIONE, I. M. 245 $aModeling applied to sowing date of irrigated maize.$h[electronic resource] 260 $c2018 520 $aIn Brazil, the rainfed maize crop may undergo yield breaks due to uncertainties in the rainfall distribution. Irrigation can be a management alternative that, however, requires evaluation and planning to be helpful. The objective of this work was to analyze the simulated yield data of irrigated maize in counties of Minas Gerais state, Brazil. The CSM-CERES-Maize model was used to simulated weekly sowings of maize considering optimum agronomic conditions. A sprinkler irrigation scheme with 80% efficiency was used with automatic applications when the crop withdrew 50% of the soil available water. The harvest was scheduled to happen automatically when the crop had reached physiological maturity. The results were statistically analyzed for each county, based on goodness of fit test, ANOVA, Tukey?s test and risk analysis (stochastic dominance). The most promising sowing period was from January 16 to March 27 for all locations, except for Janaúba, for which the best sowing window was from November 14 to January 2. The treatments of highest average simulated maize yield stochastically dominated the other treatments evaluated. The CSM-CERES-Maize model proved to be a useful tool to help making decision in irrigated maize crop systems. 650 $aAnálise de Risco 650 $aIrrigação 650 $aModelo de Simulação 653 $aCSM-CERES-Maize 653 $aDSSAT 653 $aModelagem 700 1 $aANDRADE, C. de L. T. de 700 1 $aBORGES JÚNIOR, J. C. F. 700 1 $aVIANA, J. H. M. 773 $tRevista Brasileira de Milho e Sorgo, Sete Lagoas$gv. 17, n. 2, p. 201-215, 2018.
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Embrapa Milho e Sorgo (CNPMS) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
26/05/2003 |
Data da última atualização: |
04/08/2003 |
Autoria: |
FRANCO, A. A.; CAMPELLO, E. F. C. |
Título: |
Cercas vivas com Sansão do campo. |
Ano de publicação: |
2000 |
Fonte/Imprenta: |
Seropédica: Embrapa Agrobiologia, 2000. |
Páginas: |
4 p. |
Série: |
(Embrapa Agrobiologia. Recomendação Técnica, 9). |
ISSN: |
1415-7322 |
Idioma: |
Português |
Palavras-Chave: |
Sansão do campo. |
Thesagro: |
Planta Para Cerca Viva. |
Thesaurus NAL: |
Mimosa caesalpiniifolia. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00521nam a2200181 a 4500 001 1623583 005 2003-08-04 008 2000 bl uuuu u0uu1 u #d 022 $a1415-7322 100 1 $aFRANCO, A. A. 245 $aCercas vivas com Sansão do campo. 260 $aSeropédica: Embrapa Agrobiologia$c2000 300 $a4 p. 490 $a(Embrapa Agrobiologia. Recomendação Técnica, 9). 650 $aMimosa caesalpiniifolia 650 $aPlanta Para Cerca Viva 653 $aSansão do campo 700 1 $aCAMPELLO, E. F. C.
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Embrapa Agrobiologia (CNPAB) |
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