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| 2. |  | HARTMANN, C.; FONTANA, R. C.; SIQUEIRA, F. G. de; CAMASSOLA, M. Produção de enzimas lignolíticas por diferentes espécies de basidiomicetos em cultivo em estado sólido. In: CONGRESSO BRASILEIRO DE ENGENHARIA QUÍMICA - COBEC, 21.; Encontro Brasileiro sobre o Ensino de Engenharia Química - ENBEQ, , 2016, Fortaleza, CE. [Anais ...]. São Paulo: Associação Brasileira de Engenharia Química, 2016.| Biblioteca(s): Embrapa Agroenergia. |
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| 4. | | BASSO, V.; FONTANA, R. C.; MACHADO, J. C.; LEDO, F. J. da S.; DILLON, A. J. P.; CAMASSOLA, M. Potencial de diferentes genótipos de capim elefante (Pennisetum sp.) para produção de celulases e xilanases. In: ENCONTRO DE JOVENS PESQUISADORES, 20.; MOSTRA ACADÊMICA DE INOVAÇÃO E TECNOLOGIA, 2., 2012, Caxias do Sul, RS. Resumos. Caxias do Sul: Universidade de Caxias do Sul, 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | BASSO, V.; DILON, A. J. P.; FONTANA, R. C.; MACHADO, J. C.; LEDO, F. J. da S.; CAMASSOLA, M. Avaliação de diferentes genótipos de capim elefante (Pennisetum sp.) para produção de celulases e xilaneses. In: Encontro de Jovens Pesquisadores, 19. / Mostra Acadêmica de Inovação Tecnológica, 1., 2011, Caxias do Sul. Resumos...| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | BASSO, V.; MACHADO, J. C.; LEDO, F. J. da S.; CARNEIRO, J. da C.; FONTANA, R. C.; DILLON, A. J. P.; CAMASSOLA, M. Different elephant grass (Pennisetum purpureum) accessions as substrates for enzyme production for the hydrolysis of lignocellulosic materials. Biomass and bioenergy, n. 71, p. 155-161, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | STOFFEL, F; SANTANA, W. de O.; FONTANA, R. C.; GREGOLON, J. G. N.; KIST, T. B.; SIQUEIRA, F. G. de; MENDONCA, S.; CAMASSOLA, M. Chemical features and bioactivity of grain flours colonized by macrofungi as a strategy for nutritional enrichment. Food Chemistry, n. 297, 2019.| Biblioteca(s): Embrapa Agroenergia. |
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| 9. | | SILVA, E. A. da; MENDES, T. D.; PACHECO, T. F.; CAMPANHA, R. B.; WISCHRAL, D.; MENDONCA, S.; CAMASSOLA, M.; SIQUEIRA, F. G. de; SOUZA JUNIOR, M. T. Colonization of oil palm empty fruit bunches by basidiomycetes from the Brazilian cerrado: deconstruction of biomass. Biofuels, Bioproducts and Biorefining, 2022. First online| Biblioteca(s): Embrapa Agroenergia. |
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| 10. | | SILVA, E. A. da; MENDES, T. D.; PACHECO, T. F.; WISCHRAL, D.; SANTOS, D. C. dos; MENDONCA, S.; CAMASSOLA, M.; SIQUEIRA, F. G. de; SOUZA JUNIOR, M. T. Colonization of oil palm empty fruit bunches by basidiomycetes from the Brazilian cerrado: enzyme production. Energy Science & Engineering, v. 10, p. 1189-1201, 2022.| Biblioteca(s): Embrapa Agroenergia. |
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| 11. | | SCHNEIDER, W. D. H.; FONTANA, R. C.; BAUDEL, H. M.; SIQUEIRA, F. G. de; RENCORET, J.; GUTIERRZ, A.; EUGENIO, L. I. de; PRIETO, A.; MARTINEZ, M. J.; MARTINEZ, A. T.; DILLON, A. J. P.; CAMASSOLA, M. Lignin degradation and detoxification of eucalyptus wastes by on-site manufacturing fungal enzymes to enhance second-generation ethanol yield. Applied Energy, v. 262, 2020.| Biblioteca(s): Embrapa Agroenergia. |
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| 12. | | SCHNEIDER, W. D. H.; LOSADA, C. B.; MOLDES, D.; FONTANA, R. C.; SIQUEIRA, F. G. de; PRIRTO, A.; MARTíNEZ, M. J.; MARTÍNEZ, A. T.; DILLON, A. J. P.; CAMASSOLA, M. A sustainable approach of enzymatic grafting on Eucalyptus globulus Wood by Laccase from the newly isolated white-rot basidiomycete Marasmiellus palmivorus VE111. ACS Sustainable: chemistry & engeineering. 13418-13424| Biblioteca(s): Embrapa Agroenergia. |
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| Registros recuperados : 12 | |
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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: |
14/01/2020 |
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Data da última atualização: |
14/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ATTIA, A.; CUADRA, S. V.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J. P.; GALDOS, M.; LAMPARELLI, R.; LE MAIRE, G. |
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Afiliação: |
AHMED ATTIA, Unicamp; SANTIAGO VIANNA CUADRA, CNPTIA; YANN NOUVELLON, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ/USP; JOANNÈS GUILLEMOT, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ; OTÁVIO CAMARGO CAMPOE, UFSC, UNESP; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; JEAN-PAUL LACLAU, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ/USP, UNESP; MARCELO GALDOS, University of Leeds; RUBENS LAMPARELLI, Unicamp; GUERRIC LE MAIRE. |
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Título: |
Modelling Eucalyptus biomass production at regional scale in Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD, 2018. |
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Páginas: |
p. 43. |
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ISBN: |
978-2-87614-743-0 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Santiago Cuandra. |
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Conteúdo: |
Among forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropical hardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1. Wide differences of biomass production were observed among neighboring stands representing challenges to forestry companies to spatially estimate biomass yield in large plantation zones. The first objective of the present research was to modify the carbon allocation scheme in the process-based model Generic Decomposition And Yield Model (G'DAY), to better capture the spatial variability in growth rates of Eucalyptus as in uenced by environmental constraints such as water stress. The model was parametrized and tested using experimental and long term commercial datasets in the state of S~ao Paulo Brazil. Measured data included several variables of carbon and water uxes and carbon stock. The calibrated model produced accurate prediction of the carbon key variables such as leaf area index, stem biomass, and gross primary production and water related variables such as plant available water and evapotranspiration. Simulating the spatial variability among commercial Eucalyptus stands at landscape scale showed reasonable prediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This could partially be attributed to spatial soil data differences used at regional scales which came from the Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testing the soil data with the use of soil type map crossed with soil profile measurements is expected to improve the soil information for higher accuracy of stem simulation at landscape to regional scale. MenosAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropical hardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1. Wide differences of biomass production were observed among neighboring stands representing challenges to forestry companies to spatially estimate biomass yield in large plantation zones. The first objective of the present research was to modify the carbon allocation scheme in the process-based model Generic Decomposition And Yield Model (G'DAY), to better capture the spatial variability in growth rates of Eucalyptus as in uenced by environmental constraints such as water stress. The model was parametrized and tested using experimental and long term commercial datasets in the state of S~ao Paulo Brazil. Measured data included several variables of carbon and water uxes and carbon stock. The calibrated model produced accurate prediction of the carbon key variables such as leaf area index, stem biomass, and gross primary production and water related variables such as plant available water and evapotranspiration. Simulating the spatial variability among commercial Eucalyptus stands at landscape scale showed reasonable prediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This could partially be attributed to spatial soil data differences used at regional scales which came from the Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testin... Mostrar Tudo |
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Palavras-Chave: |
Ecophysiological Modelling; G’DAY; Regional Scale. |
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Thesagro: |
Biomassa; Eucalipto. |
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Thesaurus NAL: |
Biomass; Brazil; Eucalyptus. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02717nam a2200349 a 4500
001 2118695
005 2020-01-14
008 2018 bl uuuu u01u1 u #d
020 $a978-2-87614-743-0
100 1 $aATTIA, A.
245 $aModelling Eucalyptus biomass production at regional scale in Brazil.$h[electronic resource]
260 $aIn: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD$c2018
300 $ap. 43.
500 $aNa publicação: Santiago Cuandra.
520 $aAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropical hardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1. Wide differences of biomass production were observed among neighboring stands representing challenges to forestry companies to spatially estimate biomass yield in large plantation zones. The first objective of the present research was to modify the carbon allocation scheme in the process-based model Generic Decomposition And Yield Model (G'DAY), to better capture the spatial variability in growth rates of Eucalyptus as in uenced by environmental constraints such as water stress. The model was parametrized and tested using experimental and long term commercial datasets in the state of S~ao Paulo Brazil. Measured data included several variables of carbon and water uxes and carbon stock. The calibrated model produced accurate prediction of the carbon key variables such as leaf area index, stem biomass, and gross primary production and water related variables such as plant available water and evapotranspiration. Simulating the spatial variability among commercial Eucalyptus stands at landscape scale showed reasonable prediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This could partially be attributed to spatial soil data differences used at regional scales which came from the Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testing the soil data with the use of soil type map crossed with soil profile measurements is expected to improve the soil information for higher accuracy of stem simulation at landscape to regional scale.
650 $aBiomass
650 $aBrazil
650 $aEucalyptus
650 $aBiomassa
650 $aEucalipto
653 $aEcophysiological Modelling
653 $aG’DAY
653 $aRegional Scale
700 1 $aCUADRA, S. V.
700 1 $aNOUVELLON, Y.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O. C.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J. P.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aLE MAIRE, G.
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