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Registro Completo |
Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
04/02/1997 |
Data da última atualização: |
23/01/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FREIRE FILHO, F. R.; RIBEIRO, V. Q. |
Afiliação: |
FRANCISCO RODRIGUES FREIRE FILHO, CPAMN; VALDENIR QUEIROZ RIBEIRO, CPAMN. |
Título: |
Adaptabilidade e estabilidade de rendimento de genotipos de caupi de porte enramador. |
Ano de publicação: |
1996 |
Fonte/Imprenta: |
In: REUNIAO NACIONAL DE PESQUISA DO CAUPI, 4., 1996, Teresina. Resumos... Teresina: EMBRAPA-CPAMN, 1996. p. 97-98. |
Série: |
(EMBRAPA-CPAMN. Documentos, 18) |
Idioma: |
Português |
Palavras-Chave: |
Caupi; Feijao macassar; Porte enramador; Vigna unguicualta. |
Thesagro: |
Rendimento. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/97687/1/REUNIAO970001.pdf
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Marc: |
LEADER 00623nam a2200181 a 4500 001 1051637 005 2024-01-23 008 1996 bl uuuu u00u1 u #d 100 1 $aFREIRE FILHO, F. R. 245 $aAdaptabilidade e estabilidade de rendimento de genotipos de caupi de porte enramador. 260 $aIn: REUNIAO NACIONAL DE PESQUISA DO CAUPI, 4., 1996, Teresina. Resumos... Teresina: EMBRAPA-CPAMN, 1996. p. 97-98.$c1996 490 $a(EMBRAPA-CPAMN. Documentos, 18) 650 $aRendimento 653 $aCaupi 653 $aFeijao macassar 653 $aPorte enramador 653 $aVigna unguicualta 700 1 $aRIBEIRO, V. Q.
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Embrapa Meio-Norte (CPAMN) |
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Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
03/10/2016 |
Data da última atualização: |
23/01/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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. |
Título: |
Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
International Journal of Biometeorology, v. 60, p. 945-955, 2016. |
DOI: |
10.1007/s00484-015-1087-6 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
DGVMs; Global changes; Maximumvelocity of carboxylation; Mudanças Climáticas. |
Thesagro: |
Vegetação. |
Thesaurus NAL: |
Acclimation. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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