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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. |
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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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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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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
25/10/2017 |
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Data da última atualização: |
02/05/2018 |
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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: |
BRAGA, L. F.; OLIVEIRA, F. A. de; COUTO, E. A. P. do; SANTOS, K. F. E. N.; FERREIRA, E. P. de B.; MARTIN-DIDONET, C. C. G. |
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Afiliação: |
LIVIA FABIANA BRAGA, UNIVERSIDADE ESTADUAL DE GOIÁS; FENIX ARAUJO DE OLIVEIRA, UNIVERSIDADE ESTADUAL DE GOIÁS; EVA APARECIDA PRADO DO COUTO, UNIVERSIDADE ESTADUAL DE GOIÁS; KARINA FREIRE d'EÇA NOGUEIRA SANTOS, UNIVERSIDADE ESTADUAL DE GOIÁS; ENDERSON PETRONIO DE BRITO FERREIRA, CNPAF; CLAUDIA CRISTINA GARCIA MARTIN-DIDONET, UNIVERSIDADE ESTADUAL DE GOIÁS. |
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Título: |
Polyphasic characterization of bacteria obtainedfrom upland rice cultivated in Cerrado soil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Brazilian Journal of Microbiology, v. 49, n. 1, p. 20-28, 2018. |
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ISSN: |
1678-4405 |
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DOI: |
10.1016/j.bjm.2017.04.004 |
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Idioma: |
Inglês |
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Conteúdo: |
This work aimed to characterize 20 isolates obtained from upland rice plants, based on phe-notypic (morphology, enzymatic activity, inorganic phosphate solubilization, carbon source use, antagonism), genotypic assays (16S rRNA sequencing) and plant growth promotion. Results showed a great morphological, metabolic and genetic variability among bacterial isolates. All isolates showed positive activity for catalase and protease enzymes and, 90%of the isolates showed positive activity for amylase, catalase and, nitrogenase. All isolates were able to metabolize sucrose and malic acid in contrast with mannitol, which was metab-olized only by one isolate. For the other carbon sources, we observed a great variability inits use by the isolates. Most isolates showed antibiosis against Rhizoctonia solani (75%) and Sclerotinia sclerotiorum (55%) and, 50% of them showed antibiosis against both pathogens. Six isolates showed simultaneous ability of antibiosis, inorganic phosphate solubilization and protease activity. Based on phylogenetic analysis of the 16S rRNA gene all the isolates belong to Bacillus genus. Under greenhouse conditions, two isolates (S4 and S22) improved to about 24%, 25%, 30% and 31% the Total N, leaf area, shoot dry weight and root dry weight, respectively, of rice plants, indicating that they should be tested for this ability under field conditions. |
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Palavras-Chave: |
Associative bacteria; Bacterial diversity. |
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Thesagro: |
Arroz; Bactéria; Cerrado; Oryza sativa; Solo. |
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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/171165/1/CNPAF-2018-bjm.pdf
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Marc: |
LEADER 02233naa a2200289 a 4500
001 2078148
005 2018-05-02
008 2018 bl uuuu u00u1 u #d
022 $a1678-4405
024 7 $a10.1016/j.bjm.2017.04.004$2DOI
100 1 $aBRAGA, L. F.
245 $aPolyphasic characterization of bacteria obtainedfrom upland rice cultivated in Cerrado soil.$h[electronic resource]
260 $c2018
520 $aThis work aimed to characterize 20 isolates obtained from upland rice plants, based on phe-notypic (morphology, enzymatic activity, inorganic phosphate solubilization, carbon source use, antagonism), genotypic assays (16S rRNA sequencing) and plant growth promotion. Results showed a great morphological, metabolic and genetic variability among bacterial isolates. All isolates showed positive activity for catalase and protease enzymes and, 90%of the isolates showed positive activity for amylase, catalase and, nitrogenase. All isolates were able to metabolize sucrose and malic acid in contrast with mannitol, which was metab-olized only by one isolate. For the other carbon sources, we observed a great variability inits use by the isolates. Most isolates showed antibiosis against Rhizoctonia solani (75%) and Sclerotinia sclerotiorum (55%) and, 50% of them showed antibiosis against both pathogens. Six isolates showed simultaneous ability of antibiosis, inorganic phosphate solubilization and protease activity. Based on phylogenetic analysis of the 16S rRNA gene all the isolates belong to Bacillus genus. Under greenhouse conditions, two isolates (S4 and S22) improved to about 24%, 25%, 30% and 31% the Total N, leaf area, shoot dry weight and root dry weight, respectively, of rice plants, indicating that they should be tested for this ability under field conditions.
650 $aArroz
650 $aBactéria
650 $aCerrado
650 $aOryza sativa
650 $aSolo
653 $aAssociative bacteria
653 $aBacterial diversity
700 1 $aOLIVEIRA, F. A. de
700 1 $aCOUTO, E. A. P. do
700 1 $aSANTOS, K. F. E. N.
700 1 $aFERREIRA, E. P. de B.
700 1 $aMARTIN-DIDONET, C. C. G.
773 $tBrazilian Journal of Microbiology$gv. 49, n. 1, p. 20-28, 2018.
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Embrapa Arroz e Feijão (CNPAF) |
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