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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
12/12/2007 |
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Data da última atualização: |
11/03/2010 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
SOUZA, R. B. de; ALCÂNTARA F. A. de. |
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Afiliação: |
Ronessa Bartolomeu de Souza, Embrapa Hortaliças; Flávia Aparecida de Alcântara, Embrapa Hortaliças. |
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Título: |
Adubação orgânica. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: HENZ, G. P.; ALCÂNTARA, F. A. de; RESENDE, F. V. (Ed). Produção orgânica de hortaliças: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa Informações Técnologicas, 2007. |
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Páginas: |
p. 113-127. |
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Série: |
(Coleção 500 perguntas, 500 respostas). |
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Idioma: |
Português |
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Palavras-Chave: |
Adubação orgânica; Cultivo orgânico. |
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Thesagro: |
Biofertilizante; Compostagem; Fertilizante; Hortaliça. |
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Categoria do assunto: |
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Marc: |
LEADER 00734naa a2200217 a 4500
001 1780405
005 2010-03-11
008 2007 bl uuuu u00u1 u #d
100 1 $aSOUZA, R. B. de
245 $aAdubação orgânica.
260 $c2007
300 $ap. 113-127.
490 $a(Coleção 500 perguntas, 500 respostas).
650 $aBiofertilizante
650 $aCompostagem
650 $aFertilizante
650 $aHortaliça
653 $aAdubação orgânica
653 $aCultivo orgânico
700 1 $aALCÂNTARA F. A. de
773 $tIn: HENZ, G. P.; ALCÂNTARA, F. A. de; RESENDE, F. V. (Ed). Produção orgânica de hortaliças: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa Informações Técnologicas, 2007.
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Registro original: |
Embrapa Hortaliças (CNPH) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
11/11/2014 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
SINGELS, A.; JONES, M.; MARIN, F.; RUANE, A.; THORBURN, P. |
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Afiliação: |
ABRAHAM SINGELS, South African Sugarcane Research Institute; MATTHEW JONES, South African Sugarcane Research Institute; FABIO RICARDO MARIN, CNPTIA; ALEXANDER RUANE, NASA Goddard Institute for Space Studies; PETER THORBURN, CSIRO Ecosystems Sciences. |
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Título: |
Predicting climate change impacts on sugarcane production at sites in Australia, Brazil and South Africa using the Canegro model. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Sugar Tech, New Delhi, v. 16, n. 4, p. 347-355, Oct./Dec. 2014. |
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DOI: |
10.1007/s12355-013-0274-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Reliable predictions of sugarcane response to climate change are necessary to plan adaptation strategies. The objective of this study was to assess the use of global climate models (GCMs) and a crop simulation model for predicting climate change impacts on sugarcane production. The Canegro model was used to simulate growth and development of sugarcane crops under typical management conditions at three sites (irrigated crops at Ayr, Australia; rainfed crops at Piracicaba, Brazil and La Mercy, South Africa) for current and three future climate scenarios. The baseline scenario consisted of a 30-year time series of historical weather records and atmospheric CO2 concentration ([CO2]) set at 360 ppm. Future climate scenarios were derived from three GCMs and [CO2] set at 734 ppm. Future cane yields are expected to increase at all three sites, ranging from +4 % for Ayr, to +9 and +20 % for Piracicaba and La Mercy. Canopy development was accelerated at all three sites by increased temperature, which led to increased interception of radiation, increased transpiration, and slight increases in drought stress at rainfed sites. For the high potential sites (Ayr and Piracicaba), yield increases were limited by large increases in maintenance respiration which consumed most of the daily assimilate when high biomass was achieved. A weakness of the climate data used was the assumption of no change in rainfall distribution, solar radiation and relative humidity. Crop model aspects that need refinement include improved simulation of (1) elevated [CO2] effects on crop photosynthesis and transpiration, and (2) high temperature effects on crop development, photosynthesis and respiration. MenosAbstract Reliable predictions of sugarcane response to climate change are necessary to plan adaptation strategies. The objective of this study was to assess the use of global climate models (GCMs) and a crop simulation model for predicting climate change impacts on sugarcane production. The Canegro model was used to simulate growth and development of sugarcane crops under typical management conditions at three sites (irrigated crops at Ayr, Australia; rainfed crops at Piracicaba, Brazil and La Mercy, South Africa) for current and three future climate scenarios. The baseline scenario consisted of a 30-year time series of historical weather records and atmospheric CO2 concentration ([CO2]) set at 360 ppm. Future climate scenarios were derived from three GCMs and [CO2] set at 734 ppm. Future cane yields are expected to increase at all three sites, ranging from +4 % for Ayr, to +9 and +20 % for Piracicaba and La Mercy. Canopy development was accelerated at all three sites by increased temperature, which led to increased interception of radiation, increased transpiration, and slight increases in drought stress at rainfed sites. For the high potential sites (Ayr and Piracicaba), yield increases were limited by large increases in maintenance respiration which consumed most of the daily assimilate when high biomass was achieved. A weakness of the climate data used was the assumption of no change in rainfall distribution, solar radiation and relative humidity. Crop model aspects that... Mostrar Tudo |
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Palavras-Chave: |
Cana-de-açúcar; Cane yield; Canopy cover; Modelos de culturas; Mudanças climáticas. |
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Thesaurus NAL: |
Climate change; Crop models. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02514naa a2200265 a 4500
001 1999629
005 2020-01-08
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1007/s12355-013-0274-1$2DOI
100 1 $aSINGELS, A.
245 $aPredicting climate change impacts on sugarcane production at sites in Australia, Brazil and South Africa using the Canegro model.$h[electronic resource]
260 $c2014
520 $aAbstract Reliable predictions of sugarcane response to climate change are necessary to plan adaptation strategies. The objective of this study was to assess the use of global climate models (GCMs) and a crop simulation model for predicting climate change impacts on sugarcane production. The Canegro model was used to simulate growth and development of sugarcane crops under typical management conditions at three sites (irrigated crops at Ayr, Australia; rainfed crops at Piracicaba, Brazil and La Mercy, South Africa) for current and three future climate scenarios. The baseline scenario consisted of a 30-year time series of historical weather records and atmospheric CO2 concentration ([CO2]) set at 360 ppm. Future climate scenarios were derived from three GCMs and [CO2] set at 734 ppm. Future cane yields are expected to increase at all three sites, ranging from +4 % for Ayr, to +9 and +20 % for Piracicaba and La Mercy. Canopy development was accelerated at all three sites by increased temperature, which led to increased interception of radiation, increased transpiration, and slight increases in drought stress at rainfed sites. For the high potential sites (Ayr and Piracicaba), yield increases were limited by large increases in maintenance respiration which consumed most of the daily assimilate when high biomass was achieved. A weakness of the climate data used was the assumption of no change in rainfall distribution, solar radiation and relative humidity. Crop model aspects that need refinement include improved simulation of (1) elevated [CO2] effects on crop photosynthesis and transpiration, and (2) high temperature effects on crop development, photosynthesis and respiration.
650 $aClimate change
650 $aCrop models
653 $aCana-de-açúcar
653 $aCane yield
653 $aCanopy cover
653 $aModelos de culturas
653 $aMudanças climáticas
700 1 $aJONES, M.
700 1 $aMARIN, F.
700 1 $aRUANE, A.
700 1 $aTHORBURN, P.
773 $tSugar Tech, New Delhi$gv. 16, n. 4, p. 347-355, Oct./Dec. 2014.
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