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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
09/02/2009 |
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Data da última atualização: |
09/05/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARNEIRO, R. M. D. G.; MENDES, M. de L.; ALMEIDA, M. R. A.; SANTOS, M. F. A. dos; GOMES, A. C. M. M.; KARSSEN, G. |
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Afiliação: |
REGINA MARIA DECHECHI GOMES CARNEIRO, EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA; MARIA DE LOURDES MENDES, UNIVERSITY OF FLORIDA; MARIA RITA ALVES ALMEIDA; MARCILENE FERNANDES ALMEIDA DOS SANTOS; ANA CRISTINA MENESES MENDES GOMES, EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA; GERRIT KARSSEN, PLANT PROTECTION SERVICE. |
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Título: |
Additional information on Meloidogyne inornata Lordello, 1956 (Tylenchida: Meloidoginidae) and its characterization as a valid species. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Nematology, v. 10, n. 1, p. 123-136, 2008. |
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Idioma: |
Inglês |
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Palavras-Chave: |
São Paulo. |
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Thesagro: |
Nematóide. |
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Thesaurus Nal: |
Meloidogyne. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00664naa a2200205 a 4500
001 1190663
005 2024-05-09
008 2008 bl uuuu u00u1 u #d
100 1 $aCARNEIRO, R. M. D. G.
245 $aAdditional information on Meloidogyne inornata Lordello, 1956 (Tylenchida$bMeloidoginidae) and its characterization as a valid species.$h[electronic resource]
260 $c2008
650 $aMeloidogyne
650 $aNematóide
653 $aSão Paulo
700 1 $aMENDES, M. de L.
700 1 $aALMEIDA, M. R. A.
700 1 $aSANTOS, M. F. A. dos
700 1 $aGOMES, A. C. M. M.
700 1 $aKARSSEN, G.
773 $tNematology$gv. 10, n. 1, p. 123-136, 2008.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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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 |
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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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