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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
24/09/2009 |
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Data da última atualização: |
28/12/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
DAMACENO, L. S.; DIAS, R. de C. S.; AMARAL, C. M. do; TEIXEIRA, F. A.; ALVES, J. C. da S. F.; SOUZA, R. N. C. de; SILVA, C. M. de J.; SOUZA. S. O. de. |
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Afiliação: |
LÉIA SANTOS DAMACENO; RITA DE CASSIA SOUZA DIAS, CPATSA; CICERA MARIA DO AMARAL, CPATSA; FÁTIMA ALVES TEIXEIRA; JULIANA CARLA DA SILVA FARIAS ALVES; RENATA NATÁLIA CÂNDIDO DE SOUZA; CARLA MARIA DE JESUS SILVA, INSTITUTO FEDERAL DE CIÊNCIA E TECNOLOGIA DO SERTÃO DE PERNAMBUCO; SANDRA OLIVEIRA DE SOUZA, INSTITUTO FEDERAL DE CIÊNCIA E TECNOLOGIA DO SERTÃO DE PERNAMBUCO. |
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Título: |
Qualidade e vida útil pós-colheita de melão orgânico tipo amarelo armazenado sob condições ambientes. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 12., 2009, Fortaleza. Desafios para produção de alimentos e bioenergia. Fortaleza: SBFV: UFC: Embrapa Agroindústria Tropical, 2009. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
O objetivo deste trabalho foi avaliar a qualidade e vida útil pós-colheita de sete genótipos de melão tipo Amarelo. |
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Palavras-Chave: |
Cultivo orgânico. |
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Thesagro: |
Armazenamento; Melão; Pós-Colheita. |
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Thesaurus Nal: |
Melons; Storage. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPATSA-2010/41454/1/OPB2467.pdf
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Marc: |
LEADER 01041nam a2200277 a 4500
001 1428562
005 2022-12-28
008 2009 bl uuuu u00u1 u #d
100 1 $aDAMACENO, L. S.
245 $aQualidade e vida útil pós-colheita de melão orgânico tipo amarelo armazenado sob condições ambientes.
260 $aIn: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 12., 2009, Fortaleza. Desafios para produção de alimentos e bioenergia. Fortaleza: SBFV: UFC: Embrapa Agroindústria Tropical$c2009
300 $c1 CD-ROM.
520 $aO objetivo deste trabalho foi avaliar a qualidade e vida útil pós-colheita de sete genótipos de melão tipo Amarelo.
650 $aMelons
650 $aStorage
650 $aArmazenamento
650 $aMelão
650 $aPós-Colheita
653 $aCultivo orgânico
700 1 $aDIAS, R. de C. S.
700 1 $aAMARAL, C. M. do
700 1 $aTEIXEIRA, F. A.
700 1 $aALVES, J. C. da S. F.
700 1 $aSOUZA, R. N. C. de
700 1 $aSILVA, C. M. de J.
700 1 $aSOUZA. S. O. de
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Meio Ambiente. |
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Data corrente: |
01/08/2019 |
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Data da última atualização: |
04/12/2019 |
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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.; MARIE, G. L. |
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Afiliação: |
Ahmed Attia; Yann Nouvellon; SANTIAGO VIANNA CUADRA, CPACT; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; Jean-Paul Laclau; Joannès Guillemot; Otavio Campoe; José-Luiz Stape; Marcelo Galdos; Rubens Lamparelli; Guerric le Maire. |
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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, 2019. Article 117460. |
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DOI: |
https://doi.org/10.1016/j.foreco.2019.117460 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: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. MenosAbstract: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 so... Mostrar Tudo |
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Palavras-Chave: |
Ecophysiological model; Eucalyptus plantations; G'DAY; Optimization; Productivity. |
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Thesagro: |
Balanço Hídrico; Eucalipto; Modelo de Simulação. |
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Categoria do assunto: |
--
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02833naa a2200349 a 4500
001 2111038
005 2019-12-04
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
520 $aAbstract: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.
650 $aBalanço Hídrico
650 $aEucalipto
650 $aModelo de Simulação
653 $aEcophysiological model
653 $aEucalyptus plantations
653 $aG'DAY
653 $aOptimization
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 $aMARIE, G. L.
773 $tForest Ecology and Management$gv. 449, p. 1-13, 2019. Article 117460.
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