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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
06/03/2017 |
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Data da última atualização: |
16/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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Afiliação: |
PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; BRUNO CARNEIRO E PEDREIRA, CPAMT. |
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Título: |
Simulating tropical forage growth and biomass accumulation: an overview of model development and application. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Grass and forage Science, v. 71, n. 1, p. 54-65, 2016. |
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DOI: |
http://dx.doi.org/10.1111/gfs.12177 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Agricultural production; CROPGRO; Grass; Modelling; Pasture; Systems simulator. |
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Categoria do assunto: |
-- |
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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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| Registros recuperados : 374 | |
| 1. |  | PEZZOPANE, J. R. M. Amendoim In: MONTEIRO, J. E. B. A. (Org.). Agrometeorlogia dos cultivos: o fator meteorológico na produção agrícola. Brasília, DF: INMET, 2009. p. 53-61| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 4. | | KLAIN, R. G.; PEZZOPANE, J. R. M. Desenvolvimento de softwares para processamento de dados climáticos obtidos em estações meteorológicas automáticas. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 9., 2017, São Carlos, SP. Anais... São Carlos, SP: Embrapa Pecuária Sudeste; Embrapa Instrumentação, 2017. p. 60. (Embrapa Pecuária Sudeste. Documentos, 126). Editores técnicos: Alexandre Berndt, Ana Rita Araujo Nogueira, Bianca Baccili Zanotto Vigna, Juliana Gonçalves Costa, Lea Chapaval, Manuel Antonio Chagas Jacinto, Patricia Menezes Santos.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 374 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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