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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
06/02/2018 |
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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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Autoria: |
WU, J.; KOBAYASHI, H.; STARK, S. C.; MENG, R.; GUAN, K.; TRAN, N. N.; GAO, S.; YANG, W.; RESTREPO-COUPE, N.; MIURA, T.; OLIVEIRA JUNIOR, R. C. de; ROGERS, A.; DYE, D. G.; NELSON, B. W.; SERBIN, S. P.; HUETE, A. R.; SALESKA, S. R. |
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Afiliação: |
Jin Wu, University of Arizona / Brookhaven National Laboratory; Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology; Scott C. Stark, Michigan State University; Ran Meng, Brookhaven National Laboratory; Kaiyu Guan, University of Illinois at Urbana Champaign; Ngoc Nguyen Tran, University of Technology Sydney; Sicong Gao, University of Technology Sydney; Wei Yang, Chiba University; Natalia Restrepo-Coupe, University of Arizona; Tomoaki Miura, University of Havaii; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Alistair Rogers, Brookhaven National Laboratory; Dennis G. Dye, Northern Arizona University; Bruce W. Nelson, INPA; Shawn P. Serbin, Brookhaven National Laboratory; Alfredo R. Huete, University of Technology Sydney; Scott R. Saleska, University of Arizona. |
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Título: |
Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018. |
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DOI: |
10.1111/nph.14939 |
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Idioma: |
Inglês |
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Conteúdo: |
Satellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics. MenosSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite... Mostrar Tudo |
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Palavras-Chave: |
Sazonalidade. |
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Thesagro: |
Fenologia; Floresta tropical. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02563naa a2200361 a 4500
001 2087194
005 2018-05-02
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1111/nph.14939$2DOI
100 1 $aWU, J.
245 $aBiological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest.$h[electronic resource]
260 $c2018
520 $aSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics.
650 $aFenologia
650 $aFloresta tropical
653 $aSazonalidade
700 1 $aKOBAYASHI, H.
700 1 $aSTARK, S. C.
700 1 $aMENG, R.
700 1 $aGUAN, K.
700 1 $aTRAN, N. N.
700 1 $aGAO, S.
700 1 $aYANG, W.
700 1 $aRESTREPO-COUPE, N.
700 1 $aMIURA, T.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aROGERS, A.
700 1 $aDYE, D. G.
700 1 $aNELSON, B. W.
700 1 $aSERBIN, S. P.
700 1 $aHUETE, A. R.
700 1 $aSALESKA, S. R.
773 $tNew Phytologist$gv. 217, n. 4, p. 1507-1520, Mar. 2018.
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Embrapa Amazônia Oriental (CPATU) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
24/12/2016 |
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Data da última atualização: |
07/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
MIRANDA, Í. K. S. P. B.; MIRANDA, A. F. S.; SOUZA, F. V. D.; PIROVANI, C. P.; PEPE, I. M.; RODOWANSKI, I. J.; FERREIRA, K. T. de S. E.; VAZ, L. M. S.; ASSIS, S. A. de. |
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Afiliação: |
ÍNGARA KEISLE SÃO PAULO BARRETTO MIRANDA; ANDERSON FONTES SUZART MIRANDA; FERNANDA VIDIGAL DUARTE SOUZA, CNPMF; CARLOS PRIMINHO PIROVANI; IURI MUNIZ PEPE; IVANOÉ JOÃO RODOWANSKI; KATIÚCIA TÍCILA DE SOUZA EDUVIRGENS FERREIRA; LUCIANO MENDES SOUZA VAZ; SANDRA APARECIDA DE ASSIS. |
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Título: |
The biochemical characterization, stabilization studies and the antiproliferative effect of bromelain against B16F10 murine melanoma cells. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
International Journal of Food Sciences and Nutrition, 2016 |
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ISSN: |
0963-7486 |
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Idioma: |
Português |
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Conteúdo: |
The current study aims to extract bromelain from different parts (stem, crown, peels, pulp and leaves) of Ananas comosus var. comosus AGB 772; to determine of optimum pH and temperature; to test bromelain stability in disodium EDTA and sodium benzoate, and to investigate its pharmacological activity on B16F10 murine melanoma cells in vitro. The highest enzymatic activity was found in bromelain extracted from the pulp and peel. The optimum bromelain pH among all studied pineapple parts was 6.0. The optimum temperature was above 50?°C in all bromelain extracts. The fluorescence analysis confirmed the stability of bromelain in the presence of EDTA and sodium benzoate. Bromelain was pharmacologically active against B16F10 melanoma cells and it was possible verifying approximately 100% inhibition of tumor cell proliferation in vitro. Since bromelain activity was found in different parts of pineapple plants, pineapple residues from the food industry may be used for bromelain extraction. |
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Thesagro: |
Bromélia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01766naa a2200241 a 4500
001 2059254
005 2017-02-07
008 2016 bl uuuu u00u1 u #d
022 $a0963-7486
100 1 $aMIRANDA, Í. K. S. P. B.
245 $aThe biochemical characterization, stabilization studies and the antiproliferative effect of bromelain against B16F10 murine melanoma cells.$h[electronic resource]
260 $c2016
520 $aThe current study aims to extract bromelain from different parts (stem, crown, peels, pulp and leaves) of Ananas comosus var. comosus AGB 772; to determine of optimum pH and temperature; to test bromelain stability in disodium EDTA and sodium benzoate, and to investigate its pharmacological activity on B16F10 murine melanoma cells in vitro. The highest enzymatic activity was found in bromelain extracted from the pulp and peel. The optimum bromelain pH among all studied pineapple parts was 6.0. The optimum temperature was above 50?°C in all bromelain extracts. The fluorescence analysis confirmed the stability of bromelain in the presence of EDTA and sodium benzoate. Bromelain was pharmacologically active against B16F10 melanoma cells and it was possible verifying approximately 100% inhibition of tumor cell proliferation in vitro. Since bromelain activity was found in different parts of pineapple plants, pineapple residues from the food industry may be used for bromelain extraction.
650 $aBromélia
700 1 $aMIRANDA, A. F. S.
700 1 $aSOUZA, F. V. D.
700 1 $aPIROVANI, C. P.
700 1 $aPEPE, I. M.
700 1 $aRODOWANSKI, I. J.
700 1 $aFERREIRA, K. T. de S. E.
700 1 $aVAZ, L. M. S.
700 1 $aASSIS, S. A. de
773 $tInternational Journal of Food Sciences and Nutrition, 2016
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Embrapa Mandioca e Fruticultura (CNPMF) |
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