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Registro Completo |
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Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
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Data corrente: |
18/06/2019 |
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Data da última atualização: |
02/03/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FREITAS, N. C.; BARRETO, H. G.; TORRES, L. F.; FREIRE, L. L.; RODRIGUES, L. A. Z.; DINIZ, L. E. C.; BEIJO, L. A.; PAIVA, L. V. |
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Afiliação: |
NATALIA CHAGAS FREITAS; HORLLYS GOMES BARRETO; LUANA FERREIRA TORRES; LUCIANA LIMA FREIRE; LEONARDO AUGUSTO ZEBRAL RODRIGUES; LEANDRO EUGENIO CARDAMONE DINIZ, CPATC; LUIZ ALBERTO BEIJO; LUCIANO VILELA PAIVA. |
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Título: |
In silico and in vivo analysis of ABI3 and VAL2 genes during somatic embryogenesis of Coffea arabica: competence acquisition and developmental marker genes. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Plant Cell, Tissue and Organ Culture, March, 2019. |
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Idioma: |
Português |
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Thesagro: |
Café; Citogenética Vegetal. |
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Thesaurus Nal: |
Coffee beans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/198668/1/Silico-and-in-vivo.pdf
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Marc: |
LEADER 00743naa a2200229 a 4500
001 2109920
005 2020-03-02
008 2019 bl uuuu u00u1 u #d
100 1 $aFREITAS, N. C.
245 $aIn silico and in vivo analysis of ABI3 and VAL2 genes during somatic embryogenesis of Coffea arabica$bcompetence acquisition and developmental marker genes.$h[electronic resource]
260 $c2019
650 $aCoffee beans
650 $aCafé
650 $aCitogenética Vegetal
700 1 $aBARRETO, H. G.
700 1 $aTORRES, L. F.
700 1 $aFREIRE, L. L.
700 1 $aRODRIGUES, L. A. Z.
700 1 $aDINIZ, L. E. C.
700 1 $aBEIJO, L. A.
700 1 $aPAIVA, L. V.
773 $tPlant Cell, Tissue and Organ Culture, March, 2019.
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Registro original: |
Embrapa Tabuleiros Costeiros (CPATC) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
03/10/2016 |
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Data da última atualização: |
23/01/2017 |
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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: |
REZENDE, L. F. C.; ARENQUE, B. C.; AIDAR, S. de T.; MOURA, M. S. B. de; RANDOW, C. V.; TOURIGNY, E.; MENEZES, R. S. C.; OMETTO, J. P. H. B. |
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Afiliação: |
L. F. C. REZENDE, INPE; B. C. ARENQUE, USP; SAULO DE TARSO AIDAR, CPATSA; MAGNA SOELMA BESERRA DE MOURA, CPATSA; C. VON RANDOW, INPE; E. TOURIGNY, INPE; R. S. C. MENEZES, UFPE; J. P. H. B. OMETTO, INPE. |
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Título: |
Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
International Journal of Biometeorology, v. 60, p. 945-955, 2016. |
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DOI: |
10.1007/s00484-015-1087-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation–atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs. |
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Palavras-Chave: |
DGVMs; Global changes; Maximumvelocity of carboxylation; Mudanças Climáticas. |
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Thesagro: |
Vegetação. |
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Thesaurus NAL: |
Acclimation. |
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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/item/148190/1/magna4.pdf
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Marc: |
LEADER 02399naa a2200289 a 4500
001 2053980
005 2017-01-23
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1007/s00484-015-1087-6$2DOI
100 1 $aREZENDE, L. F. C.
245 $aEvolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2.$h[electronic resource]
260 $c2016
520 $aDynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation–atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs.
650 $aAcclimation
650 $aVegetação
653 $aDGVMs
653 $aGlobal changes
653 $aMaximumvelocity of carboxylation
653 $aMudanças Climáticas
700 1 $aARENQUE, B. C.
700 1 $aAIDAR, S. de T.
700 1 $aMOURA, M. S. B. de
700 1 $aRANDOW, C. V.
700 1 $aTOURIGNY, E.
700 1 $aMENEZES, R. S. C.
700 1 $aOMETTO, J. P. H. B.
773 $tInternational Journal of Biometeorology$gv. 60, p. 945-955, 2016.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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