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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
12/12/2019 |
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Data da última atualização: |
30/03/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
COLMANETTI, M. A. A.; CUADRA, S. V.; ATTIA, A.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J.; GALDOS, M.; LAMPARELLI, R.; BORTOLUCCI, J.; PEREIRA, B.; MAIRE, G. Le. |
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Afiliação: |
M. A. A. COLMANETTI, UNICAMP; SANTIAGO VIANNA CUADRA, CPACT; A. ATTIA, Unicamp; Y. NOUVELLON, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; J. GUILLEMOT, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; UNESP; O. C. CAMPOE, UNESC. UFSC; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; J. LACLAU, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; M. GALDOS, UNICAMP; R. LAMPARELLI, UNICAMP; BORTOLUCCI, J., UNICAMP; B. PEREIRA, UNICAMP; G. Le MAIRE, Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UnitedKingdom. |
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Título: |
Adaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level: a case study in São Paulo State, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Special issue. Abstracts of the XXV IUFRO World Congress, 2019. |
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Páginas: |
255 |
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Idioma: |
Português |
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Conteúdo: |
Highly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxesat large scalesbrings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions. MenosHighly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-a... Mostrar Tudo |
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Palavras-Chave: |
Agro IBIS model. |
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Thesagro: |
Carbono; Eucalipto. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206949/1/RA-CabralOMR-XXV-IUFRO-2019-p255.pdf
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Marc: |
LEADER 02704nam a2200301 a 4500
001 2116798
005 2023-03-30
008 2019 bl uuuu u00u1 u #d
100 1 $aCOLMANETTI, M. A. A.
245 $aAdaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level$ba case study in São Paulo State, Brazil.$h[electronic resource]
260 $aPesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Special issue. Abstracts of the XXV IUFRO World Congress$c2019
300 $a255
520 $aHighly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxesat large scalesbrings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions.
650 $aCarbono
650 $aEucalipto
653 $aAgro IBIS model
700 1 $aCUADRA, S. V.
700 1 $aATTIA, A.
700 1 $aNOUVELLON, Y.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O. C.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aBORTOLUCCI, J.
700 1 $aPEREIRA, B.
700 1 $aMAIRE, G. Le
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
09/02/2023 |
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Data da última atualização: |
15/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MARQUES, D. M.; MAGALHAES, P. C.; MARRIEL, I. E.; GOMES JÚNIOR, C. C.; SILVA, A. B. da; SILVA, N. T. A. da; SOUZA, T. C. de. |
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Afiliação: |
DANIELE MARIA MARQUES, Universidade Federal de Lavras; PAULO CESAR MAGALHAES, CNPMS; IVANILDO EVODIO MARRIEL, CNPMS; CARLOS CÉSAR GOMES JÚNIOR, Universidade Federal de Alfenas; ADRIANO BORTOLOTTI DA SILVA, Universidade José Do Rosário Vellano; NAIA THAÍS ALVES DA SILVA, Universidade Federal de São João del-Rei; THIAGO CORRÊA DE SOUZA, Universidade Federal de Alfenas. |
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Título: |
Azospirillum brasilense reduces the efects of water stress and increases maize yield in irrigated areas with high soil nitrogen doses. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of Plant Growth Regulation, v. 42, p. 4263-4274, 2023. |
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DOI: |
https://doi.org/10.1007/s00344-022-10889-7 |
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Idioma: |
Inglês |
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Conteúdo: |
The hypothesis of this research was to verify the feasibility of using rhizobacteria in maize production, aiming to reduce the effect of water stress and the use of nitrogen fertilizers. Therefore, the objective of this study was to evaluate the morphophysiological responses and yield of maize plants inoculated with A. brasilense cultivated under two water conditions and with two nitrogen fertilization situations. The experiment was carried out in a field under irrigated conditions (IR) and water stress (WS) using a randomized block design with split plots. The treatments consisted of two concentrations of nitrogen (N) applied to the soil (20 and 120 kg ha?1) and three inoculation levels of A. brasilense (Az1, Az2, and control), with four replications. Stomatal conductance, chlorophyll content, leaf area, yield, harvest index, and soil enzymes (arginase and urease) were evaluated. Inoculation with Az1 and Az2 resulted in an increase in chlorophyll content, regardless of N content in the soil and water conditions. With Az2, there was a 10% increase in grain yield regardless of water condition and soil N content. Inoculation with Az2 level of A. brasilense and 120 kg ha?1 of N under IR was the best treatment that resulted in the highest maize yield, around 10%. Under water deficit conditions, plant inoculation with A. brasilense may reduce the effects of environmental stress by approximately 11%; however, the inoculation was not enough to equalize the maize yields to those observed in irrigated areas with the inoculant Az1 and 120 kg ha?1 of N, which promoted the best results. The inoculation of plants with A. brasilense is a cheap and easy-to-use technology that should be considered for the sustainability of maize production. MenosThe hypothesis of this research was to verify the feasibility of using rhizobacteria in maize production, aiming to reduce the effect of water stress and the use of nitrogen fertilizers. Therefore, the objective of this study was to evaluate the morphophysiological responses and yield of maize plants inoculated with A. brasilense cultivated under two water conditions and with two nitrogen fertilization situations. The experiment was carried out in a field under irrigated conditions (IR) and water stress (WS) using a randomized block design with split plots. The treatments consisted of two concentrations of nitrogen (N) applied to the soil (20 and 120 kg ha?1) and three inoculation levels of A. brasilense (Az1, Az2, and control), with four replications. Stomatal conductance, chlorophyll content, leaf area, yield, harvest index, and soil enzymes (arginase and urease) were evaluated. Inoculation with Az1 and Az2 resulted in an increase in chlorophyll content, regardless of N content in the soil and water conditions. With Az2, there was a 10% increase in grain yield regardless of water condition and soil N content. Inoculation with Az2 level of A. brasilense and 120 kg ha?1 of N under IR was the best treatment that resulted in the highest maize yield, around 10%. Under water deficit conditions, plant inoculation with A. brasilense may reduce the effects of environmental stress by approximately 11%; however, the inoculation was not enough to equalize the maize yields to those obs... Mostrar Tudo |
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Palavras-Chave: |
Condições de campo; Estresse hídrico; Índice de colheita; Rizobactéria. |
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Thesagro: |
Clorofila; Irrigação; Milho; Nitrogênio; Seca; Solo; Zea Mays. |
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Thesaurus NAL: |
Drought; Water stress. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02823naa a2200361 a 4500
001 2151608
005 2023-07-15
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00344-022-10889-7$2DOI
100 1 $aMARQUES, D. M.
245 $aAzospirillum brasilense reduces the efects of water stress and increases maize yield in irrigated areas with high soil nitrogen doses.$h[electronic resource]
260 $c2023
520 $aThe hypothesis of this research was to verify the feasibility of using rhizobacteria in maize production, aiming to reduce the effect of water stress and the use of nitrogen fertilizers. Therefore, the objective of this study was to evaluate the morphophysiological responses and yield of maize plants inoculated with A. brasilense cultivated under two water conditions and with two nitrogen fertilization situations. The experiment was carried out in a field under irrigated conditions (IR) and water stress (WS) using a randomized block design with split plots. The treatments consisted of two concentrations of nitrogen (N) applied to the soil (20 and 120 kg ha?1) and three inoculation levels of A. brasilense (Az1, Az2, and control), with four replications. Stomatal conductance, chlorophyll content, leaf area, yield, harvest index, and soil enzymes (arginase and urease) were evaluated. Inoculation with Az1 and Az2 resulted in an increase in chlorophyll content, regardless of N content in the soil and water conditions. With Az2, there was a 10% increase in grain yield regardless of water condition and soil N content. Inoculation with Az2 level of A. brasilense and 120 kg ha?1 of N under IR was the best treatment that resulted in the highest maize yield, around 10%. Under water deficit conditions, plant inoculation with A. brasilense may reduce the effects of environmental stress by approximately 11%; however, the inoculation was not enough to equalize the maize yields to those observed in irrigated areas with the inoculant Az1 and 120 kg ha?1 of N, which promoted the best results. The inoculation of plants with A. brasilense is a cheap and easy-to-use technology that should be considered for the sustainability of maize production.
650 $aDrought
650 $aWater stress
650 $aClorofila
650 $aIrrigação
650 $aMilho
650 $aNitrogênio
650 $aSeca
650 $aSolo
650 $aZea Mays
653 $aCondições de campo
653 $aEstresse hídrico
653 $aÍndice de colheita
653 $aRizobactéria
700 1 $aMAGALHAES, P. C.
700 1 $aMARRIEL, I. E.
700 1 $aGOMES JÚNIOR, C. C.
700 1 $aSILVA, A. B. da
700 1 $aSILVA, N. T. A. da
700 1 $aSOUZA, T. C. de
773 $tJournal of Plant Growth Regulation$gv. 42, p. 4263-4274, 2023.
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