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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
23/12/2016 |
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Data da última atualização: |
16/02/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
DABADIA, A. C. A.; RINALDI, M. M.; COSTA, A. M.; FALEIRO, F. G.; OLIVEIRA, T. A. R. de; ARAUJO, F. P. de. |
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Afiliação: |
MARIA MADALENA RINALDI, CPAC; ANA MARIA COSTA, CPAC; FABIO GELAPE FALEIRO, CPAC; FRANCISCO PINHEIRO DE ARAUJO, CPATSA. |
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Título: |
Variação das características físico-químicas de frutos de Passiflora cincinnata Mast. armazenados em diferentes condições de temperatura e umidade relativa. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CERRADOS: JOVENS TALENTOS, 5., 2016, Planaltina. Resumos... Planaltina, DF: Embrapa Cerrados, 2016. |
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Páginas: |
p. 25. |
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Série: |
(Embrapa Cerrados. Documentos, 334). |
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Idioma: |
Português |
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Conteúdo: |
Objetivou-se analisar as características físico?químicas de frutos armazenados durante 34 dias sob temperaturas de 25 oC e umidade relativa de 70%, 10 oC e umidade relativa de 90%. |
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Palavras-Chave: |
Conservação pós-colheita; Maracujá do mato; Maracujá silvestre; Passiflora cincinnata; Vita útil. |
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Thesagro: |
Armazenamento; Maracuja; Pós-colheita. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/155909/1/Pinheiro-2016.pdf
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Marc: |
LEADER 01227nam a2200289 a 4500
001 2059248
005 2017-02-16
008 2016 bl uuuu u00u1 u #d
100 1 $aDABADIA, A. C. A.
245 $aVariação das características físico-químicas de frutos de Passiflora cincinnata Mast. armazenados em diferentes condições de temperatura e umidade relativa.$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CERRADOS: JOVENS TALENTOS, 5., 2016, Planaltina. Resumos... Planaltina, DF: Embrapa Cerrados$c2016
300 $ap. 25.
490 $a(Embrapa Cerrados. Documentos, 334).
520 $aObjetivou-se analisar as características físico?químicas de frutos armazenados durante 34 dias sob temperaturas de 25 oC e umidade relativa de 70%, 10 oC e umidade relativa de 90%.
650 $aArmazenamento
650 $aMaracuja
650 $aPós-colheita
653 $aConservação pós-colheita
653 $aMaracujá do mato
653 $aMaracujá silvestre
653 $aPassiflora cincinnata
653 $aVita útil
700 1 $aRINALDI, M. M.
700 1 $aCOSTA, A. M.
700 1 $aFALEIRO, F. G.
700 1 $aOLIVEIRA, T. A. R. de
700 1 $aARAUJO, F. P. de
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Embrapa Semiárido (CPATSA) |
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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: |
07/01/2020 |
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Data da última atualização: |
07/01/2020 |
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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: |
ATTIA, A.; NOUVELLON, Y.; CUADRA, S. V.; CABRAL, O. M. R.; LACLAU, J. P.; GUILLEMOT, J.; CAMPOE, O.; STAPE, J.; GALDOS, M.; LAMPARELLI, R.; LE MARIE, G. |
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Afiliação: |
AHMED ATTIA, Unicamp; YANN NOUVELLON, CIRAD, ESALQ/USP; SANTIAGO VIANNA CUADRA, CNPTIA; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; JEAN-PAUL LACLAU, CIRAD, ESALQ/USP; JOANNÈS GUILLEMOT, CIRAD, ESALQ/USP; OTAVIO CAMPOE, UFLA, FCA/UNESP; JOSÉ-LUIZ STAPE, FCA/UNESP; MARCELO GALDOS, University of Leeds; RUBENS LAMPARELLI, Unicamp; GUERRIC LE MAIRE, Unicamp, CIRAD. |
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Título: |
Modelling carbon and water balance of Eucalyptus plantations at regional scale: effect of climate, soil and genotypes. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 449, p. 1-13, Oct. 2019. |
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DOI: |
https://doi.org/10.1016/j.foreco.2019.117460 |
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Idioma: |
Inglês |
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Notas: |
Article 117460. |
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Conteúdo: |
Carbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G?DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variability significantly improved the results. We conclude that application of process-based models at regional scale can be used for accurate predictions of Eucalyptus production, provided that an accurate calibration of the model for key genotype-specific parameters is conducted. MenosCarbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G?DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variab... Mostrar Tudo |
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Palavras-Chave: |
Ecophysiological model; Eucalyptus plantations; G'DAY; Modelo ecofisiológico; Optimization; Plantação de eucalipto; Productivity. |
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Thesagro: |
Eucalipto. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02851naa a2200361 a 4500
001 2118284
005 2020-01-07
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2019.117460$2DOI
100 1 $aATTIA, A.
245 $aModelling carbon and water balance of Eucalyptus plantations at regional scale$beffect of climate, soil and genotypes.$h[electronic resource]
260 $c2019
500 $aArticle 117460.
520 $aCarbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G?DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variability significantly improved the results. We conclude that application of process-based models at regional scale can be used for accurate predictions of Eucalyptus production, provided that an accurate calibration of the model for key genotype-specific parameters is conducted.
650 $aEucalipto
653 $aEcophysiological model
653 $aEucalyptus plantations
653 $aG'DAY
653 $aModelo ecofisiológico
653 $aOptimization
653 $aPlantação de eucalipto
653 $aProductivity
700 1 $aNOUVELLON, Y.
700 1 $aCUADRA, S. V.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J. P.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O.
700 1 $aSTAPE, J.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aLE MARIE, G.
773 $tForest Ecology and Management$gv. 449, p. 1-13, Oct. 2019.
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