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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
17/03/2010 |
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Data da última atualização: |
17/10/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
CHAVES, S. S. de F.; FERNANDES, P. C. C.; FREITAS, D. R. de. |
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Afiliação: |
SIGLEA SANNA DE FREITAS CHAVES, Graduanda da UFRA; PAULO CAMPOS CHRISTO FERNANDES, CPATU; DENISE RIBEIRO DE FREITAS. |
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Título: |
Integração lavoura-pecuária-floresta-análise e síntese do conhecimento por meio de meta-análise. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: SEMINÁRIO CIENTÍFICO DA UFRA, 7.; SEMINÁRIO [DE INICIAÇÃO CIENTÍFICA] DA EMBRAPA AMAZÔNIA ORIENTAL, 13.; SEMINÁRIO DE PESQUISA DA UFRA, 1., 2009, Belém, PA. Pesquisa e desenvolvimento tecnológico na formação do jovem cientista: anais. Belém, PA: UFRA: Embrapa Amazônia Oriental, 2009. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Palavras-Chave: |
Modelagem. |
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Thesagro: |
Sistema de Produção. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/43522/1/97.pdf
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Marc: |
LEADER 00755nam a2200157 a 4500
001 1661584
005 2011-10-17
008 2009 bl uuuu u00u1 u #d
100 1 $aCHAVES, S. S. de F.
245 $aIntegração lavoura-pecuária-floresta-análise e síntese do conhecimento por meio de meta-análise.
260 $aIn: SEMINÁRIO CIENTÍFICO DA UFRA, 7.; SEMINÁRIO [DE INICIAÇÃO CIENTÍFICA] DA EMBRAPA AMAZÔNIA ORIENTAL, 13.; SEMINÁRIO DE PESQUISA DA UFRA, 1., 2009, Belém, PA. Pesquisa e desenvolvimento tecnológico na formação do jovem cientista: anais. Belém, PA: UFRA: Embrapa Amazônia Oriental$c2009
300 $c1 CD-ROM.
650 $aSistema de Produção
653 $aModelagem
700 1 $aFERNANDES, P. C. C.
700 1 $aFREITAS, D. R. de
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
11/01/2018 |
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Data da última atualização: |
12/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SANTOS, R. D. dos; BOOTE, K. J.; SOLLENBERGER, L. E.; NEVES, A. L. A.; PEREIRA, L. G. R.; SCHERER, C. B.; GINÇALVES, L. C. |
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Afiliação: |
RAFAEL DANTAS DOS SANTOS, CPATSA; KENNETH J. BOOTE, University of Florida, Gainesville, FL; LYNN E. SOLLENBERGER, University of Florida, Gainesville, FL; ANDRE LUIS ALVES NEVES, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; CAROLINA B. SCHERER, UFMG; LUCIO C. GONÇALVES, UFMG. |
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Título: |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 8, article 2074, 2017. |
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DOI: |
10.3389/fpls.2017.02074 |
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Idioma: |
Inglês |
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Conteúdo: |
Forage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. The model can be used as a tool to evaluate the effect of sowing date on forage pearl millet performance in Brazilian semi-arid conditions. MenosForage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. T... Mostrar Tudo |
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Palavras-Chave: |
CSM-CERES-Pearl Millet; Cultivars competition; Dry lands; DSSAT; Pasture; Rainfed agriculture. |
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Thesagro: |
Forragem; Mudança climática; Pastagem. |
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Thesaurus NAL: |
Climate change; Crop models. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1085042/1/Simulated-optimum-sowing-date.pdf
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Marc: |
LEADER 02630naa a2200337 a 4500
001 2085042
005 2023-05-12
008 2017 bl uuuu u00u1 u #d
024 7 $a10.3389/fpls.2017.02074$2DOI
100 1 $aSANTOS, R. D. dos
245 $aSimulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region.$h[electronic resource]
260 $c2017
520 $aForage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. The model can be used as a tool to evaluate the effect of sowing date on forage pearl millet performance in Brazilian semi-arid conditions.
650 $aClimate change
650 $aCrop models
650 $aForragem
650 $aMudança climática
650 $aPastagem
653 $aCSM-CERES-Pearl Millet
653 $aCultivars competition
653 $aDry lands
653 $aDSSAT
653 $aPasture
653 $aRainfed agriculture
700 1 $aBOOTE, K. J.
700 1 $aSOLLENBERGER, L. E.
700 1 $aNEVES, A. L. A.
700 1 $aPEREIRA, L. G. R.
700 1 $aSCHERER, C. B.
700 1 $aGINÇALVES, L. C.
773 $tFrontiers in Plant Science$gv. 8, article 2074, 2017.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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