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| Registros recuperados : 42 | |
| 12. |  | QUAGLIA, L.; ARRUDA, F. B.; MARIN, F. R.; BARBIERI, V. Calibração de um lisímetro simplificado de pesagem. In: REUNIÓN ARGENTINA Y LATINOAMERICANA DE AGROMETEOROLOGIA, 10., 4., 2004, Mar del Plata, Argentina. [Anais]: Agrometeorologia y Seguridad Alimentaria en América Latina. Mar del Plata, Argentin: AADA, 2004. 1 CD-ROM.| Biblioteca(s): Embrapa Territorial. |
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| 15. | | RIGHI, E. Z.; COSTA, R. F. da; BARBIERI, V. Estimativa da produtividade de trigo usando modelagem simplificada para a regiao de Dourados, MS. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 11.; REUNIAO LATINO-AMERICANA DE AGROMETEOROLOGIA, 2., 1999, Florianopolis, SC. Programa e resumo dos anais. [Florianopolis]: Sociedade Brasileira de Agrometeorologia, 1999. p.293.| Biblioteca(s): Embrapa Cerrados. |
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| 16. | | SILVA, F. C. da; BARBIERI, V.; CASTRO, A. de. Desenvolvimento de modelo computacional para estimar a produtividade potencial de cana de açúcar. In: MAGNONI JÚNIOR, L.; STEVENS, D.; SILVA, W. T. L. da; VALE, J. M. F. do; PURINI, S. R. de M.; MAGNONI, M. da G. M.; SEBASTIÃO, E.; BRANCO JÚNIOR, G.; ADORNO FILHO, E. F.; FIGUEIREDO, W. dos S.; SEBASTIÃO, I. (Org.). JC na Escola Ciência, Tecnologia e Sociedade: mobilizar o conhecimento para alimentar o Brasil. 2. ed. São Paulo: Centro Paula Souza, 2017. p. 442-446.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | ROLIM, G. de S.; SENTELHAS, P. C.; BARBIERI, V. Planilhas no ambiente Excel para os cálculos de balanços hídricos: normal, sequencial, de cultura e de produtividade real e potencial. Revista Brasileira de Agrometeorologia, Santa Maria, v. 6, n. 1, p. 133-137, 1998.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 42 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
06/07/2020 |
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Data da última atualização: |
08/07/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
SILVA, F. C. da; BARBIERI, V.; DÍAZ-AMBRONA, C. G. H.; CASTRO, A. de. |
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Afiliação: |
FABIO CESAR DA SILVA, CNPTIA, Fatec Piracicaba; VALTER BARBIERI, ESALQ/USP; CARLOS GREGORIO HERNÁNDEZ DÍAZ-AMBRONA, Universidad Politécnica de Madrid; ALEXANDRE DE CASTRO, CNPTIA. |
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Título: |
Development of ecophysiological simulationmodelto estimate a potential productivity of sugar cane in Brazil and Australia. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Revista Biociências, Taubaté, v. 24, n. 1, p. 1-16, 2018. |
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Idioma: |
Inglês |
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Notas: |
Título equivalente: Desenvolvimento de um modelo de simulação ecofisiológico para estimar a produtividade potencial da cana-de-açúcar no Brasil e na Autrália. |
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Conteúdo: |
Abstract. A model of sugarcane was built to simulate the potential yield (without nutrition and water restrictions) for sustainability analysis of new expanded cultivation areas to ethanol or sugar production or climate change impact studies. The potential yield in terms of dry matter of sugarcane was adjusted to estimate the carbon dioxide absorption. As photosynthetic pathway C4 plant, in relation with air temperature and solar radiation to calculate a monthly production of dry matter (DM) was calculated during the crop cycle. The DM take in account gross photosynthetic rate subtracting loses by maintenance respiration, senescence of leafs, and tillers during the cycle. The BRCANE is a dynamic simulation model, it isbuild by mathematical equations which describe the physiological behaviour due to environment conditions averaging the thermal variables, model was calibrated which constants that they was obtained through adjusts of literature results and it was validated with experimental data. The simulated DM by the model was contrasted with data which obtained during the cycle from experimental irrigated field (cultivars RB72 454, NA 56-79, CB 41-76, CB 47-355, CP 51-22, Q138, and Q141), in the São Paulo State (Brazil) and in Bundaberg SES, Queensland (Australia). The results of total DM were modified in stalk tons per hectare (Mg ha-1) through linear equation for each cultivar, with regression coefficients higher than 0,89**(R2) and higher than those obtained by APSIM (R2 = 0.78*) and CANEGRO (R2 = 0.71*) models. The model showed consistent simulations for DM during the crop cycle, as well as on simulated yield. MenosAbstract. A model of sugarcane was built to simulate the potential yield (without nutrition and water restrictions) for sustainability analysis of new expanded cultivation areas to ethanol or sugar production or climate change impact studies. The potential yield in terms of dry matter of sugarcane was adjusted to estimate the carbon dioxide absorption. As photosynthetic pathway C4 plant, in relation with air temperature and solar radiation to calculate a monthly production of dry matter (DM) was calculated during the crop cycle. The DM take in account gross photosynthetic rate subtracting loses by maintenance respiration, senescence of leafs, and tillers during the cycle. The BRCANE is a dynamic simulation model, it isbuild by mathematical equations which describe the physiological behaviour due to environment conditions averaging the thermal variables, model was calibrated which constants that they was obtained through adjusts of literature results and it was validated with experimental data. The simulated DM by the model was contrasted with data which obtained during the cycle from experimental irrigated field (cultivars RB72 454, NA 56-79, CB 41-76, CB 47-355, CP 51-22, Q138, and Q141), in the São Paulo State (Brazil) and in Bundaberg SES, Queensland (Australia). The results of total DM were modified in stalk tons per hectare (Mg ha-1) through linear equation for each cultivar, with regression coefficients higher than 0,89**(R2) and higher than those obtained by APSIM (R2... Mostrar Tudo |
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Palavras-Chave: |
Fisiologia de planta; Modelo BRCANE; Modelo ecofisiológico-matemático BrCane. |
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Thesagro: |
Bioenergia; Biomassa; Cana de Açúcar; Ecologia. |
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Thesaurus NAL: |
Bioenergy; Biomass; Ecology; Plant physiology; Sugarcane. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214391/1/AP-Development-ecophysiological-2018.pdf
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Marc: |
LEADER 02722naa a2200313 a 4500
001 2123641
005 2020-07-08
008 2018 bl uuuu u00u1 u #d
100 1 $aSILVA, F. C. da
245 $aDevelopment of ecophysiological simulationmodelto estimate a potential productivity of sugar cane in Brazil and Australia.$h[electronic resource]
260 $c2018
500 $aTítulo equivalente: Desenvolvimento de um modelo de simulação ecofisiológico para estimar a produtividade potencial da cana-de-açúcar no Brasil e na Autrália.
520 $aAbstract. A model of sugarcane was built to simulate the potential yield (without nutrition and water restrictions) for sustainability analysis of new expanded cultivation areas to ethanol or sugar production or climate change impact studies. The potential yield in terms of dry matter of sugarcane was adjusted to estimate the carbon dioxide absorption. As photosynthetic pathway C4 plant, in relation with air temperature and solar radiation to calculate a monthly production of dry matter (DM) was calculated during the crop cycle. The DM take in account gross photosynthetic rate subtracting loses by maintenance respiration, senescence of leafs, and tillers during the cycle. The BRCANE is a dynamic simulation model, it isbuild by mathematical equations which describe the physiological behaviour due to environment conditions averaging the thermal variables, model was calibrated which constants that they was obtained through adjusts of literature results and it was validated with experimental data. The simulated DM by the model was contrasted with data which obtained during the cycle from experimental irrigated field (cultivars RB72 454, NA 56-79, CB 41-76, CB 47-355, CP 51-22, Q138, and Q141), in the São Paulo State (Brazil) and in Bundaberg SES, Queensland (Australia). The results of total DM were modified in stalk tons per hectare (Mg ha-1) through linear equation for each cultivar, with regression coefficients higher than 0,89**(R2) and higher than those obtained by APSIM (R2 = 0.78*) and CANEGRO (R2 = 0.71*) models. The model showed consistent simulations for DM during the crop cycle, as well as on simulated yield.
650 $aBioenergy
650 $aBiomass
650 $aEcology
650 $aPlant physiology
650 $aSugarcane
650 $aBioenergia
650 $aBiomassa
650 $aCana de Açúcar
650 $aEcologia
653 $aFisiologia de planta
653 $aModelo BRCANE
653 $aModelo ecofisiológico-matemático BrCane
700 1 $aBARBIERI, V.
700 1 $aDÍAZ-AMBRONA, C. G. H.
700 1 $aCASTRO, A. de
773 $tRevista Biociências, Taubaté$gv. 24, n. 1, p. 1-16, 2018.
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