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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
19/09/2006 |
Data da última atualização: |
28/05/2018 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
GUIMARAES, L. J. M.; MARRIEL, I. E.; PARENTONI, S. N.; GUIMARAES, C. T.; MIRANDA, G. V.; VASCONCELOS, M. J. V.; GAMA, E. E. G. |
Afiliação: |
LAURO JOSE MOREIRA GUIMARAES, CNPMS; IVANILDO EVODIO MARRIEL, CNPMS; SIDNEY NETTO PARENTONI, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS; MARIA JOSE VILACA DE VASCONCELOS, CNPMS. |
Título: |
Comportamento de linhagens de milho contrastantes no uso de nitrogênio cultivadas em dois níveis de N em substrato hidropônico. |
Ano de publicação: |
2006 |
Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 26.; SIMPÓSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 2.; SIMPÓSIO SOBRE COLLETOTRICHUM GRAMINICOLA, 1., 2006, Belo Horizonte. Inovação para sistemas integrados de produção: trabalhos apresentados. [Sete Lagoas]: ABMS, 2006. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Português |
Palavras-Chave: |
NUE; Toxidez por amônio. |
Thesagro: |
Zea Mays. |
Categoria do assunto: |
S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29761/1/Substrato-hidroponico.pdf
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Marc: |
LEADER 00942nam a2200217 a 4500 001 1490230 005 2018-05-28 008 2006 bl uuuu u00u1 u #d 100 1 $aGUIMARAES, L. J. M. 245 $aComportamento de linhagens de milho contrastantes no uso de nitrogênio cultivadas em dois níveis de N em substrato hidropônico.$h[electronic resource] 260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 26.; SIMPÓSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 2.; SIMPÓSIO SOBRE COLLETOTRICHUM GRAMINICOLA, 1., 2006, Belo Horizonte. Inovação para sistemas integrados de produção: trabalhos apresentados. [Sete Lagoas]: ABMS$c2006 300 $c1 CD-ROM. 650 $aZea Mays 653 $aNUE 653 $aToxidez por amônio 700 1 $aMARRIEL, I. E. 700 1 $aPARENTONI, S. N. 700 1 $aGUIMARAES, C. T. 700 1 $aMIRANDA, G. V. 700 1 $aVASCONCELOS, M. J. V. 700 1 $aGAMA, E. E. G.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Agrossilvipastoril. |
Data corrente: |
06/03/2017 |
Data da última atualização: |
16/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ANDRADE, A. S.; SANTOS, P. M.; PEZZOPANE, J. R. M.; ARAUJO, L. C. de; PEDREIRA, B. C. e; PEDREIRA, C. G. S.; MARIN, F. R.; LARA, M. A. S. |
Afiliação: |
PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; BRUNO CARNEIRO E PEDREIRA, CPAMT. |
Título: |
Simulating tropical forage growth and biomass accumulation: an overview of model development and application. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Grass and forage Science, v. 71, n. 1, p. 54-65, 2016. |
DOI: |
http://dx.doi.org/10.1111/gfs.12177 |
Idioma: |
Inglês |
Conteúdo: |
Crop models can aid the synthesis and application of knowledge, planning of experiments and forecasting in agricultural systems. Few studies have reviewed the uses and applications of these models for tropical forages. The purpose of this study was to review the information available in this scientific area, highlighting the main models, their applications and limitations. Several empirical models have been developed to predict the growth and biomass accumulation of tropical forages, especially for the genera Cynodon, Paspalum, Panicum and Brachiaria. Their application, however, is often location or region specific. The adaptation of mechanistic models to accurately predict biomass accumulation in tropical grasses is still limited. Recent advances have been made on the plot-scale and farm-scale process-based models ALMANAC, CROPGRO Perennial Forage and agricultural production systems simulator (APSIM), with promising results. In addition, global-scale process-based models, such as the Century Agroecosystem Model and the Orchidee Grassland Management Model, have been tested for tropical grassland areas. A greater number of regionspecific calibrations of empirical models can enhance their use, and improved databases and model parameterizations for a wide range of tropical grasses will enable the continuous improvement of mechanistic models. |
Palavras-Chave: |
Agricultural production; CROPGRO; Grass; Modelling; Pasture; Systems simulator. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207160/1/2016-cpamt-bruno-pedreira-simulation-tropical-forage-growth-biomass-accumulation-model-development-application.pdf
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Marc: |
LEADER 02226naa a2200289 a 4500 001 2066364 005 2019-12-16 008 2016 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1111/gfs.12177$2DOI 100 1 $aANDRADE, A. S. 245 $aSimulating tropical forage growth and biomass accumulation$ban overview of model development and application.$h[electronic resource] 260 $c2016 520 $aCrop models can aid the synthesis and application of knowledge, planning of experiments and forecasting in agricultural systems. Few studies have reviewed the uses and applications of these models for tropical forages. The purpose of this study was to review the information available in this scientific area, highlighting the main models, their applications and limitations. Several empirical models have been developed to predict the growth and biomass accumulation of tropical forages, especially for the genera Cynodon, Paspalum, Panicum and Brachiaria. Their application, however, is often location or region specific. The adaptation of mechanistic models to accurately predict biomass accumulation in tropical grasses is still limited. Recent advances have been made on the plot-scale and farm-scale process-based models ALMANAC, CROPGRO Perennial Forage and agricultural production systems simulator (APSIM), with promising results. In addition, global-scale process-based models, such as the Century Agroecosystem Model and the Orchidee Grassland Management Model, have been tested for tropical grassland areas. A greater number of regionspecific calibrations of empirical models can enhance their use, and improved databases and model parameterizations for a wide range of tropical grasses will enable the continuous improvement of mechanistic models. 653 $aAgricultural production 653 $aCROPGRO 653 $aGrass 653 $aModelling 653 $aPasture 653 $aSystems simulator 700 1 $aSANTOS, P. M. 700 1 $aPEZZOPANE, J. R. M. 700 1 $aARAUJO, L. C. de 700 1 $aPEDREIRA, B. C. e 700 1 $aPEDREIRA, C. G. S. 700 1 $aMARIN, F. R. 700 1 $aLARA, M. A. S. 773 $tGrass and forage Science$gv. 71, n. 1, p. 54-65, 2016.
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Embrapa Agrossilvipastoril (CPAMT) |
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