|
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Registro Completo |
Biblioteca(s): |
Embrapa Acre; Embrapa Amapá; Embrapa Amazônia Oriental. |
Data corrente: |
14/10/2019 |
Data da última atualização: |
27/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SCHEPASCHENKO, D.; CHAVE, J.; PHILLIPS, O. L.; LEWIS, S. L.; DAVIES, S. J.; RÉJOU-MÉCHAIN, M.; SIST, P.; SCIPAL, K.; PERGER, C.; HERAULT, B.; LABRIÈRE, N.; HOFHANSL, F.; AFFUM-BAFFOE, K.; ALEINIKOV, A.; ALONSO, A.; AMANI, C.; ARAUJO-MURAKAMI, A.; ARMSTON, J.; ARROYO, L.; ASCARRUNZ, N.; AZEVEDO, C. P. de; BAKER, T.; BALAZY, R.; BEDEAU, C.; BERRY, N.; BILOUS, A. M.; BIOLUS, S. Y.; BISSIENGOU, P.; BLANC, L.; BOBKOVA, K. S.; BRASLAVSKAYA, T.; BRIENEN, R.; BURSLEM, D. F. R. P.; CONDIT, R.; CUNI-SANCHEZ, A.; DANILINA, D.; TORRES, D. del C.; DERROIRE, G.; DESCROIX, L.; SOTTA, E. D.; OLIVEIRA, M. V. N. d'; DRESEL, C.; ERWIN, T.; EVDOKIMENKO, M. D.; FALCK, J.; FELDSPAUSCH, T. R.; FOLI, E. G.; FOSTER, R.; FRITZ, S.; GARCIA-ABRIL, A. D.; GORNOV, A.; GORNOVA, M.; GOTHARD-BASSÉBÉ, E.; GOURLET-FLEURY, S.; GUEDES, M. C.; HAMER, K. C.; SUSANTY, F. H.; HIGUCHI, N.; CORONADO, E. N. H.; HUBAU, W.; HUBBELL, S.; ILSTEDT, U.; IVANOV, V. V.; KANASHIRO, M.; KARLSSON, A.; KARMINOV, V. N.; KILLEEN, T.; KOFFI, J. C. K.; KONOVALOVA, M.; KRAXNER, F.; KREJZA, J.; KRISNAWATI, H.; KRIVOBOKOV, L. V.; KUZNETSOV, M. A.; LAKYDA, I.; LAKYDA, P. I.; LICONA, J. C.; LUCAS, R. M.; LUKINA, N.; LUSSETTI, D.; MALHI, Y.; MANZANERA, J. A.; MARIMON, B.; MARIMON JUNIOR, B. H.; VASQUEZ MARTINEZ, R.; MARTYNENKO, O. V.; MATSALA, M.; MATYASHUK, R. K.; FREITAS, L. J. M. de; MEMIAGHE, H.; MENDONZA, C.; MONTEAGUDO MENDONZA, A.; MOROZIUK, O. V.; MUKHORTOVA, L.; MUSA, S.; NAZIMOVA, D. I.; OKUDA, T.; OLIVEIRA, L. C. de; ONTIKOV, P. V.; OSIPOV, A. F.; PIETSCH, S.; PLAYFAIR, M.; POULSEN, J.; RADCHENKO, V. G.; RODNEY, K.; ROZAK, A. H.; RUSCHEL, A. R.; RUTISHAUSER, E.; SEE, L.; SHCHEPASHCHENKO, M.; SHEVCHENKO, N.; SHVIDENKO, A.; SILVEIRA, M.; SINGH, J.; SONKÉ, B.; SOUZA, C. R. de; STERENCZAK, K.; STONOZHENKO, L.; SULLIVAN, M. J. P; SZATNIEWSKA, J.; TAEDOUMG, H.; STEEGE, H. ter; TIKHONOVA, E.; TOLEDO, M.; TREFILOVA, O. V.; VALBUENA, R.; VALENZUELA GAMARRA, L.; VASILIEV, S.; VEDROVA, E. F.; VERHOVETS, S. V.; VIDAL, E.; VLADIMIROVA, N. A.; VLEMINCKX, J.; VOS, V. A.; VOZMITEL, F. K.; WANEK, W.; WEST, T. A. P.; WOELL, H.; WOODS, J. T.; WORTEL, V.; YAMADA, T.; HAJAR, Z. S. N.; ZO-BI, I. C. |
Afiliação: |
Dmitry Schepaschenko, International Institute for Applied Systems Analysis, Laxenburg, Austria/Bauman Moscow State Technical University, Mytischi, Russia; Jérôme Chave, Laboratoire Evolution et Diversité Biologique CNRS/Université Paul Sabatier, Toulouse, France; Oliver L. Phillips, University of Leeds, Leeds, UK/University College London, London.; Simon L. Lewis, University of Leeds, Leeds, UK/University College London, London.; Stuart J. Davies, Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington.; Maxime Réjou-Méchain, AMAP, IRD, CNRS, CIRAD, INRA, University Montpellier, Montpellier, France.; Plinio Sist, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France.; Klaus Scipal, European Space Agency, ESTEC, Noordwijk, The Netherlands.; Christoph Perger, International Institute for Applied Systems Analysis, Laxenburg, Austria/Spatial Focus GmbH, Vienna, Austria.; Bruno Herault, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France/Institut National Polytechnique Félix Houphouët-Boigny, Côte d’Ivoire; Nicolas Labrière, Université Paul Sabatier, Toulouse, France.; Florian Hofhansl, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Kofi Affum-Baffoe, Mensuration Unit, Forestry Commission of Ghana, Kumasi, Ghana.; Alexei Aleinikov, Russian Academy of Sciences, Moscow, Russia.; Alfonso Alonso, Smithsonian Conservation Biology Institute, Washington, DC.; Christian Amani, Centre for International Forestry Research (CIFOR), Bogor, Indonesia.; Alejandro Araujo-Murakami, Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; John Armston, University of Maryland, USA/University of Queensland, Brisbane, Australia.; Luzmila Arroyo, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; Nataly Ascarrunz, Instituto Boliviano de Investigacion Forestal (IBIF), Casilla, Bolivia.; CELSO PAULO DE AZEVEDO, CPAA; Timothy Baker, University of Leeds, Leeds, UK.; Radomir Balazy, Forest Research Institute, Poland.; Caroline Bedeau, ONF-Réserve de Montabo Cayenne Cedex, Cayenne, French Guiana.; Nicholas Berry, The Landscapes and Livelihoods Group, Edinburgh, UK.; Andrii M. Bilous, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Svitlana Yu. Bilous, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Pulchérie Bissiengou, Herbier National du Gabon (IPHAMETRA), Libreville, Gabon.; Lilian Blanc, CIRAD, Montpellier, France/Univ Montpellier, Montpellier, France.; Kapitolina S. Bobkova, Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia.; Tatyana Braslavskaya, Russian Academy of Sciences, Moscow, Russia.; Roel Brienen, University of Leeds, Leeds, UK.; David F. R. P. Burslem, University of Aberdeen, Aberdeen, UK.; Richard Condit, Morton Arboretum, Lisle, IL, USA.; Aida Cuni-Sanchez, University of York, Heslington, York, UK.; Dilshad Danilina, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Dennis del Castillo Torres, Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru.; Géraldine Derroire, CIRAD, UMR EcoFoG, France, French Guiana.; Laurent Descroix, ONF-Réserve de Montabo Cayenne Cedex, Cayenne, French Guiana.; ELENEIDE DOFF SOTTA, CPAF-AP; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Christopher Dresel, International Institute for Applied Systems Analysis, Laxenburg, Austria/Spatial Focus GmbH, Vienna, Austria.; Terry Erwin, Smithsonian Institution, Washington, DC.; Mikhail D. Evdokimenko, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Jan Falck, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Ted R. Feldpausch, University of Exeter, Exeter, UK.; Ernest G. Foli, Forestry Research Institute of Ghana, Kumasi, Ghana.; Robin Foster, The Field Musium, Chicago, IL, USA.; Steffen Fritz, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Antonio Damian Garcia-Abril, Universidad Politecnica de Madrid, Madrid, Spain.; Aleksey Gornov, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Maria Gornova, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Ernest Gothard-Bassébé, Institut Centrafricain de Recherche Agronomique (ICRA), Bangui, Central African Republic.; Sylvie Gourlet-Fleury, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France.; MARCELINO CARNEIRO GUEDES, CPAF-AP; Keith C. Hamer, University of Leeds, Leeds, UK.; Farida Herry Susanty, Forestry and Environment Research Development and Innovation Agency (FOERDIA), Bogor, Indonesia.; Niro Higuchi, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.; Eurídice N. Honorio Coronado, Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru.; Wannes Hubau, University of Leeds, Leeds, UK/Ghent University, Ghent, Belgium.; Stephen Hubbell, University of California, Los Angeles, CA, USA.; Ulrik Ilstedt, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Viktor V. Ivanov, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; MILTON KANASHIRO, CPATU; Anders Karlsson, The Swedish University of Agricultural Sciences, SLU, Umeå, Sweden.; Viktor N. Karminov, Russian Academy of Sciences, Moscow, Russia.; Timothy Killeen, World Wildlife Fund, Santa Cruz de la Sierra, Bolivia.; Jean-Claude Konan Koffi, Sodefor, Abidjan, Côte d’Ivoire.; Maria Konovalova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Florian Kraxner, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Jan Krejza, Global Change Research Institute CAS, Brno, Czech Republic.; Haruni Krisnawati, Forestry and Environment Research Development and Innovation Agency (FOERDIA), Bogor, Indonesia.; Leonid V. Krivobokov, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Mikhail A . Kuznetsov, Institute of Biology, Komi Scientific Center, Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia.; Ivan Lakyda, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Petro I. Lakyda, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Juan Carlos Licona, Instituto Boliviano de Investigacion Forestal (IBIF), Casilla, Bolivia.; Richard M. Lucas, Aberystwyth University, Aberystwyth, UK.; Natalia Lukina, Russian Academy of Sciences, Moscow, Russia.; Daniel Lussetti, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Yadvinder Malhi, University of Oxford, Oxford, UK.; José Antonio Manzanera, Universidad Politecnica de Madrid, Madrid, Spain.; Beatriz Marimon, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brazil.; Ben Hur Marimon Junior, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brazil.; Rodolfo Vasquez Martinez, Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Olga V. Martynenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Maksym Matsala, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Raisa K. Matyashuk, Institute for Evolutionary Ecology of the National Academy of Sciences of Ukraine, Kyiv, Ukraine.; LUCAS JOSE MAZZEI DE FREITAS, CPATU; Hervé Memiaghe, University of Oregon, Eugene, OR, USA.; Casimiro Mendoza, Forest Management in Bolivia, Sacta, Bolivia.; Abel Monteagudo Mendoza, Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Olga V. Moroziuk, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Liudmila Mukhortova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Samsudin Musa, Forest Reserach Institute of Malaysia (FRIM), Kuala Lumpur, Malaysia.; Dina I. Nazimova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Toshinori Okuda, Hiroshima University, Hiroshima, Japan.; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; Petr V. Ontikov, Bauman Moscow State Technical University, Mytischi, Russia.; Andrey F. Osipov, Russian Academy of Sciences, Syktyvkar, Russia; Stephan Pietsch, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Maureen Playfair, Center for Agricultural research in Suriname, Paramaribo, Suriname.; John Poulsen, Nicholas School of the Environment, Duke University, Durham, USA.; Vladimir G. Radchenko, Institute for Evolutionary Ecology of the National Academy of Sciences of Ukraine, Kyiv, Ukraine.; Kenneth Rodney, The Iwokrama International Centre for Rain Forest Conservation and Development, Georgetown, Guyana.; Andes H. Rozak, Cibodas Botanic Gardens - Indonesian Institute of Sciences (LIPI), Cianjur, Indonesia.; ADEMIR ROBERTO RUSCHEL, CPATU; Ervan Rutishauser, Smithsonian Tropical Research Institute, Ancon, Panama.; Linda See, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Maria Shchepashchenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Nikolay Shevchenko, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Anatoly Shvidenko, International Institute for Applied Systems Analysis, Laxenburg, Austria/V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Marcos Silveira, Museu Universitário, Universidade Federal do Acre (Ufac), Rio Branco, Brazil.; James Singh, Guyana Forestry Commission, Kingston Georgetown, Guyana.; Bonaventure Sonké, Plant Systematic and Ecology Laboratory, University of Yaoundé I, Yaounde, Cameroon.; CINTIA RODRIGUES DE SOUZA, CPAA; Krzysztof Stere?czak, Forest Research Institute, Department of Geomatics, Raszyn, Poland.; Leonid Stonozhenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Martin J. P. Sullivan, University of Leeds, Leeds, UK.; Justyna Szatniewska, Global Change Research Institute CAS, Brno, Czech Republic.; Hermann Taedoumg, University of Yaoundé I, Yaounde, Cameroon/Bioversity international, Yaoundé, Cameroun.; Hans ter Steege, Naturalis Biodiversity Center, Leiden, The Netherlands.; Elena Tikhonova, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Marisol Toledo, Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; Olga V. Trefilova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Ruben Valbuena, School of Natural Sciences, Bangor University, Bangor, United Kingdom.; Luis Valenzuela Gamarra, Jardín Botánico de Missouri; Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Sergey Vasiliev, Bauman Moscow State Technical University, Mytischi, Russia.; Estella F. Vedrova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Sergey V. Verhovets, Siberian Federal University, Krasnoyarsk, Russia/Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.; Edson Vidal, Luiz de Queiroz College of Agriculture, University of Sao Paolo, Piracicaba, Sa?o Paulo, Brazil.; Nadezhda A. Vladimirova, 7State Nature Reserve Denezhkin Kamen, Severouralsk, Russia.; Jason Vleminckx, Florida International University, Miami, FL, USA.; Vincent A. Vos, Universidad Autónoma del Beni, Riberalta, Bolivia.; Foma K. Vozmitel, Bauman Moscow State Technical University, Mytischi, Russia.; Wolfgang Wanek, University of Vienna, Vienna, Austria.; Thales A. P. West, New Zealand Forest Research Institute (Scion), Rotorua, New Zealand.; Hannsjorg Woell, Unaffiliated (retired), Bad Aussee, Austria.; John T. Woods, W.R.T College of Agriculture and Forestry, University of Liberia, Monrovia, Liberia.; Verginia Wortel, Center for Agricultural Research in Suriname, Paramaribo, Suriname.; Toshihiro Yamada, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.; Zamah Shari Nur Hajar, Forest Research Institute of Malaysia M(FRIM), Kuala Lumpur, Malaysia.; Irié Casimir Zo-Bi, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro, Côte d’Ivoire. |
Título: |
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Scientific Data, v. 6, n. 198, p. 1-11, 2019. |
DOI: |
10.1038/s41597-019-0196-1 |
Idioma: |
Inglês |
Conteúdo: |
Forest biomass is an essential indicator for monitoring the Earth?s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world?s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RSbased biomass products while developing new synergies between the RS and ground-based ecosystem research communities. |
Palavras-Chave: |
Bases de datos; Biomasa aérea; Estudios de observación; Forest Observation System (FOS); Recursos forestales; Sistema de Observação Florestal; Teledetección. |
Thesagro: |
Base de Dados; Biomassa; Floresta; Proteção Florestal; Sensoriamento Remoto. |
Thesaurus Nal: |
Aboveground biomass; Databases; Forest resources; Observational studies; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 06501naa a2202041 a 4500 001 2119409 005 2020-01-27 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1038/s41597-019-0196-1$2DOI 100 1 $aSCHEPASCHENKO, D. 245 $aThe Forest Observation System, building a global reference dataset for remote sensing of forest biomass.$h[electronic resource] 260 $c2019 520 $aForest biomass is an essential indicator for monitoring the Earth?s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world?s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RSbased biomass products while developing new synergies between the RS and ground-based ecosystem research communities. 650 $aAboveground biomass 650 $aDatabases 650 $aForest resources 650 $aObservational studies 650 $aRemote sensing 650 $aBase de Dados 650 $aBiomassa 650 $aFloresta 650 $aProteção Florestal 650 $aSensoriamento Remoto 653 $aBases de datos 653 $aBiomasa aérea 653 $aEstudios de observación 653 $aForest Observation System (FOS) 653 $aRecursos forestales 653 $aSistema de Observação Florestal 653 $aTeledetección 700 1 $aCHAVE, J. 700 1 $aPHILLIPS, O. L. 700 1 $aLEWIS, S. L. 700 1 $aDAVIES, S. 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V. 700 1 $aMUKHORTOVA, L. 700 1 $aMUSA, S. 700 1 $aNAZIMOVA, D. I. 700 1 $aOKUDA, T. 700 1 $aOLIVEIRA, L. C. de 700 1 $aONTIKOV, P. V. 700 1 $aOSIPOV, A. F. 700 1 $aPIETSCH, S. 700 1 $aPLAYFAIR, M. 700 1 $aPOULSEN, J. 700 1 $aRADCHENKO, V. G. 700 1 $aRODNEY, K. 700 1 $aROZAK, A. H. 700 1 $aRUSCHEL, A. R. 700 1 $aRUTISHAUSER, E. 700 1 $aSEE, L. 700 1 $aSHCHEPASHCHENKO, M. 700 1 $aSHEVCHENKO, N. 700 1 $aSHVIDENKO, A. 700 1 $aSILVEIRA, M. 700 1 $aSINGH, J. 700 1 $aSONKÉ, B. 700 1 $aSOUZA, C. R. de 700 1 $aSTERENCZAK, K. 700 1 $aSTONOZHENKO, L. 700 1 $aSULLIVAN, M. J. P 700 1 $aSZATNIEWSKA, J. 700 1 $aTAEDOUMG, H. 700 1 $aSTEEGE, H. ter 700 1 $aTIKHONOVA, E. 700 1 $aTOLEDO, M. 700 1 $aTREFILOVA, O. V. 700 1 $aVALBUENA, R. 700 1 $aVALENZUELA GAMARRA, L. 700 1 $aVASILIEV, S. 700 1 $aVEDROVA, E. F. 700 1 $aVERHOVETS, S. V. 700 1 $aVIDAL, E. 700 1 $aVLADIMIROVA, N. A. 700 1 $aVLEMINCKX, J. 700 1 $aVOS, V. A. 700 1 $aVOZMITEL, F. K. 700 1 $aWANEK, W. 700 1 $aWEST, T. A. P. 700 1 $aWOELL, H. 700 1 $aWOODS, J. T. 700 1 $aWORTEL, V. 700 1 $aYAMADA, T. 700 1 $aHAJAR, Z. S. N. 700 1 $aZO-BI, I. C. 773 $tScientific Data$gv. 6, n. 198, p. 1-11, 2019.
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Registro original: |
Embrapa Amapá (CPAF-AP) |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Soja. |
Data corrente: |
18/06/2012 |
Data da última atualização: |
03/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
GUIMARÃES-DIAS, F.; NEVES-BORGES, A. C.; VIANA, A. A. B.; MESQUITA, R. O.; ROMANO, E.; GROSSI-DE-SÁ, M. de F.; NEPOMUCENO, A. L.; LOUREIRO, M. E.; ALVES-FERREIRA, M. |
Afiliação: |
FÁBIA GUIMARÃES DIAS, UFRJ; ANNA CRISTINA NEVES-BORGES, UNIRIO; ANTONIO AMERICO BARBOSA VIANA, CENARGEN; ROSILENE OLIVEIRA MESQUITA, UFV; EDUARDO ROMANO DE CAMPOS PINTO, CENARGEN; MARIA FATIMA GROSSI DE SA, CENARGEN; ALEXANDRE LIMA NEPOMUCENO, SRI; MARCELO EHLERS LOUREIRO, UFV; MÁRCIO ALVES-FERREIRA, UFRJ. |
Título: |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 222-232, May 2012. |
Idioma: |
Inglês |
Conteúdo: |
Metabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plants. MenosMetabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plan... Mostrar Tudo |
Palavras-Chave: |
Bioinformática; QPCR. |
Thesagro: |
Gene; Genoma; Resistência a seca; Soja. |
Thesaurus NAL: |
Biochemical pathways; Bioinformatics; Drought tolerance; Genes; Genome; Soybeans. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61069/1/gmb.expression.anal.v35n1s.222-232.2012.pdf
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Marc: |
LEADER 02539naa a2200361 a 4500 001 1946634 005 2023-03-03 008 2012 bl uuuu u00u1 u #d 100 1 $aGUIMARÃES-DIAS, F. 245 $aExpression analysis in response to drought stress in soybean$bshedding light on the regulation of metabolic pathway genes. 260 $c2012 520 $aMetabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plants. 650 $aBiochemical pathways 650 $aBioinformatics 650 $aDrought tolerance 650 $aGenes 650 $aGenome 650 $aSoybeans 650 $aGene 650 $aGenoma 650 $aResistência a seca 650 $aSoja 653 $aBioinformática 653 $aQPCR 700 1 $aNEVES-BORGES, A. C. 700 1 $aVIANA, A. A. B. 700 1 $aMESQUITA, R. O. 700 1 $aROMANO, E. 700 1 $aGROSSI-DE-SÁ, M. de F. 700 1 $aNEPOMUCENO, A. L. 700 1 $aLOUREIRO, M. E. 700 1 $aALVES-FERREIRA, M. 773 $tGenetics and Molecular Biology, Ribeirão Preto$gv. 35, n. 1, suppl., p. 222-232, May 2012.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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