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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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Embrapa Meio Ambiente (CNPMA) |
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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. |
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Data corrente: |
03/05/2022 |
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Data da última atualização: |
03/05/2022 |
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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: |
STRECK, E. A.; MAGALHAES JUNIOR, A. M. de; AGUIAR, G. A.; FACCHINELLO, P. K. H.; FAGUNDES, P. R. R.; FRANCO D. F.; NARDINO, N.; OLIVEIRA, A. C. de. |
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Afiliação: |
EDUARDO ANIBELE STRECK; ARIANO MARTINS DE MAGALHAES JUNIOR, CPACT; GABRIEL ALMEIDA AGUIAR; PAULO KARLING HENRIQUE FACCHINELLO; PAULO RICARDO REIS FAGUNDES, CPACT; DANIEL FERNANDES FRANCO; MAICON NARDINO; ANTÔNIO COSTA DE OLIVEIRA. |
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Título: |
Genetic Progress in 45 Years of Irrigated Rice Breeding in Southern Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
crop science, v. 58, p. 1094-1105, 2018 |
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DOI: |
doi: 10.2135/cropsci2017.06.0383 |
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Idioma: |
Português |
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Conteúdo: |
ABSTRACT Irrigated rice (Oryza sativa L.) is a crop of extreme social and economic importance in Brazil, and the state of Rio Grande do Sul accounts for >70% of the national production. The Brazilian Agricultural Research Corporation (Embrapa) is focused on rice breeding, with the aim of developing cultivars with significantly increased grain yield and improved sustainability. The objective of this study was to estimate the genetic progress of 45 yr of the irrigated rice breeding program of Embrapa in Southern Brazil from 1972 to 2016 by conducting a comparative analysis of cultivars in the same environment and by meta-analysis of line yield assays. The estimates were results from a meta-analysis obtained by evaluating 455 genotypes in 145 trials of regional line yield and value for cultivation and use of 44 agricultural crop seasons, and by comparing cultivars obtained by evaluating 25 cultivars in 10 agricultural crop seasons. Genetic gains were evaluated for grain yield, plant height, and days to flowering. The cultivars released by the breeding program were also evaluated for important agronomic characters. The genetic estimates determined a genetic progress for grain yield via meta-analysis and via comparison of cultivars of 0.62 (37.91 kg yr−1) and 0.73% (47.78 kg yr−1), respectively. It was also verified that during the period there was a reduction in plant height and days to flowering. Three distinct historical phases that defined changes in research focus and in genetic gains can be described: (i) 1972 to 1983, before the rice Green Revolution; (ii) 1983 to 2000, after the rice Green Revolution; and (iii) 2000 to 2016, selection intensification for industrial grain quality attributes. Other relevant genetic aspects, selection strategies, and phases of the breeding program were discussed. MenosABSTRACT Irrigated rice (Oryza sativa L.) is a crop of extreme social and economic importance in Brazil, and the state of Rio Grande do Sul accounts for >70% of the national production. The Brazilian Agricultural Research Corporation (Embrapa) is focused on rice breeding, with the aim of developing cultivars with significantly increased grain yield and improved sustainability. The objective of this study was to estimate the genetic progress of 45 yr of the irrigated rice breeding program of Embrapa in Southern Brazil from 1972 to 2016 by conducting a comparative analysis of cultivars in the same environment and by meta-analysis of line yield assays. The estimates were results from a meta-analysis obtained by evaluating 455 genotypes in 145 trials of regional line yield and value for cultivation and use of 44 agricultural crop seasons, and by comparing cultivars obtained by evaluating 25 cultivars in 10 agricultural crop seasons. Genetic gains were evaluated for grain yield, plant height, and days to flowering. The cultivars released by the breeding program were also evaluated for important agronomic characters. The genetic estimates determined a genetic progress for grain yield via meta-analysis and via comparison of cultivars of 0.62 (37.91 kg yr−1) and 0.73% (47.78 kg yr−1), respectively. It was also verified that during the period there was a reduction in plant height and days to flowering. Three distinct historical phases that defined changes in research focu... Mostrar Tudo |
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Palavras-Chave: |
Oryza sativa L. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02525naa a2200229 a 4500
001 2142595
005 2022-05-03
008 2018 bl uuuu u00u1 u #d
024 7 $adoi: 10.2135/cropsci2017.06.0383$2DOI
100 1 $aSTRECK, E. A.
245 $aGenetic Progress in 45 Years of Irrigated Rice Breeding in Southern Brazil.$h[electronic resource]
260 $c2018
520 $aABSTRACT Irrigated rice (Oryza sativa L.) is a crop of extreme social and economic importance in Brazil, and the state of Rio Grande do Sul accounts for >70% of the national production. The Brazilian Agricultural Research Corporation (Embrapa) is focused on rice breeding, with the aim of developing cultivars with significantly increased grain yield and improved sustainability. The objective of this study was to estimate the genetic progress of 45 yr of the irrigated rice breeding program of Embrapa in Southern Brazil from 1972 to 2016 by conducting a comparative analysis of cultivars in the same environment and by meta-analysis of line yield assays. The estimates were results from a meta-analysis obtained by evaluating 455 genotypes in 145 trials of regional line yield and value for cultivation and use of 44 agricultural crop seasons, and by comparing cultivars obtained by evaluating 25 cultivars in 10 agricultural crop seasons. Genetic gains were evaluated for grain yield, plant height, and days to flowering. The cultivars released by the breeding program were also evaluated for important agronomic characters. The genetic estimates determined a genetic progress for grain yield via meta-analysis and via comparison of cultivars of 0.62 (37.91 kg yr−1) and 0.73% (47.78 kg yr−1), respectively. It was also verified that during the period there was a reduction in plant height and days to flowering. Three distinct historical phases that defined changes in research focus and in genetic gains can be described: (i) 1972 to 1983, before the rice Green Revolution; (ii) 1983 to 2000, after the rice Green Revolution; and (iii) 2000 to 2016, selection intensification for industrial grain quality attributes. Other relevant genetic aspects, selection strategies, and phases of the breeding program were discussed.
653 $aOryza sativa L
700 1 $aMAGALHAES JUNIOR, A. M. de
700 1 $aAGUIAR, G. A.
700 1 $aFACCHINELLO, P. K. H.
700 1 $aFAGUNDES, P. R. R.
700 1 $aFRANCO D. F.
700 1 $aNARDINO, N.
700 1 $aOLIVEIRA, A. C. de
773 $tcrop science$gv. 58, p. 1094-1105, 2018
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