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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
05/12/2023 |
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Data da última atualização: |
05/12/2023 |
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Autoria: |
DÍAZ, S.; KATTGE, J.; CORNELISSEN, J. H. C.; WRIGHT, I. J.; LAVOREL, S.; DRAY, S.; REU, B.; KLEYER, M.; WIRTH, C.; PRENTICE, I. C.; GARNIER, E.; BÖNISCH, G.; WESTOBY, M.; POORTER, H.; REICH, P. B.; MOLES, A. T.; DICKIE, J.; ZANNE, A. E.; CHAVE, J.; WRIGHT, S. J.; SHEREMETIEV, S. N.; JACTEL, H.; BARALOTO, C.; CERABOLINI, B. E. L.; PIERCE, S.; SHIPLEY, B.; CASANOVES, F.; JOSWIG, J. S.; GÜNTHER, A.; FALCZUK, V.; RÜGER, N.; MAHECHA, M. D.; GORNÉ, L. D.; AMIAUD, B.; ATKIN, O. K.; BAHN, M.; BALDOCCHI, D.; BECKMANN, M.; BLONDER, B.; BOND, W.; BOND-LAMBERTY, B.; BROWN, K.; BURRASCANO, S.; BYUN, C.; CAMPETELLA, G.; CAVENDER-BARES, J.; CHAPIN, F. S.; CHOAT, B.; COOMES, D. A.; CORNWELL, W. K.; CRAINE, J.; CRAVEN, D.; DAINESE, M.; ARAUJO, A. C. de; VRIES, F. T. de; DOMINGUES, T. F.; ENQUIST, B. J.; FAGÚNDEZ, J.; FANG, J.; FERNÁNDEZ-MÉNDEZ, F.; FERNANDEZ-PIEDADE, M. T.; FORD, H.; FOREY, E.; FRESCHET, G. T.; GACHET, S.; GALLAGHER, R.; GREEN, W.; GUERIN, G. R.; GUTIÉRREZ, A. G.; HARRISON, S. P.; HATTINGH, W. N.; HE, T.; HICKLER, T.; HIGGINS, S. I.; HIGUCHI, P.; ILIC, J.; JACKSON, R. B.; JALILI, A.; JANSEN, S.; KOIKE, F.; KÖNIG, C.; KRAFT, N.; KRAMER, K.; KREFT, H.; KÜHN, I.; KUROKAWA, H.; LAMB, E. G.; LAUGHLIN, D. C.; LEISHMAN, M.; LEWIS, S.; LOUAULT, F.; MALHADO, A. C. M.; MANNING, P.; MEIR, P.; MENCUCCINI, M.; MESSIER, J.; MILLER, R.; MINDEN, V.; MOLOFSKY, J.; MONTGOMERY, R.; MONTSERRAT-MARTÍ, G.; MORETTI, M.; MÜLLER, S.; NIINEMETS, Ü.; OGAYA, R.; ÖLLERER, K.; ONIPCHENKO, V.; ONODA, Y.; OZINGA, W. A.; PAUSAS, J. G.; PECO, B.; PENUELAS, J.; PILLAR, V. D.; PLADEVALL, C.; RÖMERMANN, C.; SACK, L.; SALINAS, N.; SANDEL, B.; SARDANS, J.; SCHAMP, B.; SCHERER-LORENZEN, M.; SCHULZE, E.; SCHWEINGRUBER, F.; SHIODERA, S.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N.; SPASOJEVIC, M. J.; SWAINE, E.; SWENSON, N.; TAUTENHAHN, S.; THOMPSON, K.; TOTTE, A.; URRUTIA-JALABERT, R.; VALLADARES, F.; BODEGOM, P. V.; VASSEUR, F.; VERHEYEN, K.; VILE, D.; VIOLLE, C.; HOLLE, B. V.; WEIGELT, P.; WEIHER, E.; WIEMANN, M. C.; WILLIAMS, M.; WRIGHT, J.; ZOTZ, G. |
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Afiliação: |
SANDRA DÍAZ; JENS KATTGE; JOHANNES H. C. CORNELISSEN; IAN J. WRIGHT; SANDRA LAVOREL; STÉPHANE DRAY; BJÖRN REU; MICHAEL KLEYER; CHRISTIAN WIRTH; I. COLIN PRENTICE; ERIC GARNIER; GERHARD BÖNISCH; MARK WESTOBY; HENDRIK POORTER; PETER B. REICH; ANGELA T. MOLES; JOHN DICKIE; AMY E. ZANNE; JÉRÔME CHAVE; S. JOSEPH WRIGHT; SERGE N. SHEREMETIEV; HERVÉ JACTEL; CHRISTOPHER BARALOTO; BRUNO E. L. CERABOLINI; SIMON PIERCE; BILL SHIPLEY; FERNANDO CASANOVES; JULIA S. JOSWIG; ANGELA GÜNTHER; VALERIA FALCZUK; NADJA RÜGER; MIGUEL D. MAHECHA; LUCAS D. GORNÉ; BERNARD AMIAUD; OWEN K. ATKIN; MICHAEL BAHN; DENNIS BALDOCCHI; MICHAEL BECKMANN; BENJAMIN BLONDER; WILLIAM BOND; BEN BOND-LAMBERTY; KERRY BROWN; SABINA BURRASCANO; CHAEHO BYUN; GIANDIEGO CAMPETELLA; JEANNINE CAVENDER-BARES; F. STUART CHAPIN; BRENDAN CHOAT; DAVID ANTHONY COOMES; WILLIAM K. CORNWELL; JOSEPH CRAINE; DYLAN CRAVEN; MATTEO DAINESE; ALESSANDRO CARIOCA DE ARAUJO; FRANCISKA T. DE VRIES; TOMAS FERREIRA DOMINGUES; BRIAN J. ENQUIST; JAIME FAGÚNDEZ; JINGYUN FANG; FERNANDO FERNÁNDEZ-MÉNDEZ; MARIA T. FERNANDEZ-PIEDADE; HENRY FORD; ESTELLE FOREY; GREGOIRE T. FRESCHET; SOPHIE GACHET; RACHAEL GALLAGHER; WALTON GREEN; GREG R. GUERIN; ALVARO G. GUTIÉRREZ; SANDY P. HARRISON; WESLEY NEIL HATTINGH; TIANHUA HE; THOMAS HICKLER; STEVEN I. HIGGINS; PEDRO HIGUCHI; JUGO ILIC; ROBERT B. JACKSON; ADEL JALILI; STEVEN JANSEN; FUMITO KOIKE; CHRISTIAN KÖNIG; NATHAN KRAFT; KOEN KRAMER; HOLGER KREFT; INGOLF KÜHN; HIROKO KUROKAWA; ERIC G. LAMB; DANIEL C. LAUGHLIN; MICHELLE LEISHMAN; SIMON LEWIS; FRÉDÉRIQUE LOUAULT; ANA C. M. MALHADO; PETER MANNING; PATRICK MEIR; MAURIZIO MENCUCCINI; JULIE MESSIER; REGIS MILLER; VANESSA MINDEN; JANE MOLOFSKY; REBECCA MONTGOMERY; GABRIEL MONTSERRAT-MARTÍ; MARCO MORETTI; SANDRA MÜLLER; ÜLO NIINEMETS; ROMÀ OGAYA; KINGA ÖLLERER; VLADIMIR ONIPCHENKO; YUSUKE ONODA; WIM A. OZINGA; JULI G. PAUSAS; BEGOÑA PECO; JOSEP PENUELAS; VALÉRIO D. PILLAR; CLARA PLADEVALL; CHRISTINE RÖMERMANN; LAWREN SACK; NORMA SALINAS; BRODY SANDEL; JORDI SARDANS; BRANDON SCHAMP; MICHAEL SCHERER-LORENZEN; ERNST-DETLEF SCHULZE; FRITZ SCHWEINGRUBER; SATOMI SHIODERA; ENIO EGON SOSINSKI JUNIOR, CPACT; NADEJDA SOUDZILOVSKAIA; MARKO J. SPASOJEVIC; EMILY SWAINE; NATHAN SWENSON; SUSANNE TAUTENHAHN; KEN THOMPSON; ALEXIA TOTTE; ROCÍO URRUTIA-JALABERT; FERNANDO VALLADARES; PETER VAN BODEGOM; FRANÇOIS VASSEUR; KRIS VERHEYEN; DENIS VILE; CYRILLE VIOLLE; BETSY VON HOLLE; PATRICK WEIGELT; EVAN WEIHER; MICHAEL C. WIEMANN; MATHEW WILLIAMS; JUSTIN WRIGHT; GERHARD ZOTZ. |
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Título: |
The global spectrum of plant form and function: enhanced species-level trait dataset. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Data, v. 9, n. 1, 755, 2022. |
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Páginas: |
18 p. |
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ISSN: |
2052-4463 |
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DOI: |
https://doi.org/10.1038/s41597-022-01774-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. |
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Palavras-Chave: |
Computer Science Applications; Library and Information Sciences; Statistics and Probability. |
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Thesagro: |
Estatística. |
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Thesaurus Nal: |
education; information systems. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 06107naa a2201969 a 4500
001 2159184
005 2023-12-05
008 2022 bl uuuu u00u1 u #d
022 $a2052-4463
024 7 $ahttps://doi.org/10.1038/s41597-022-01774-9$2DOI
100 1 $aDÍAZ, S.
245 $aThe global spectrum of plant form and function$benhanced species-level trait dataset.$h[electronic resource]
260 $c2022
300 $a18 p.
520 $aHere we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
650 $aeducation
650 $ainformation systems
650 $aEstatística
653 $aComputer Science Applications
653 $aLibrary and Information Sciences
653 $aStatistics and Probability
700 1 $aKATTGE, J.
700 1 $aCORNELISSEN, J. H. C.
700 1 $aWRIGHT, I. J.
700 1 $aLAVOREL, S.
700 1 $aDRAY, S.
700 1 $aREU, B.
700 1 $aKLEYER, M.
700 1 $aWIRTH, C.
700 1 $aPRENTICE, I. C.
700 1 $aGARNIER, E.
700 1 $aBÖNISCH, G.
700 1 $aWESTOBY, M.
700 1 $aPOORTER, H.
700 1 $aREICH, P. B.
700 1 $aMOLES, A. T.
700 1 $aDICKIE, J.
700 1 $aZANNE, A. E.
700 1 $aCHAVE, J.
700 1 $aWRIGHT, S. J.
700 1 $aSHEREMETIEV, S. N.
700 1 $aJACTEL, H.
700 1 $aBARALOTO, C.
700 1 $aCERABOLINI, B. E. L.
700 1 $aPIERCE, S.
700 1 $aSHIPLEY, B.
700 1 $aCASANOVES, F.
700 1 $aJOSWIG, J. S.
700 1 $aGÜNTHER, A.
700 1 $aFALCZUK, V.
700 1 $aRÜGER, N.
700 1 $aMAHECHA, M. D.
700 1 $aGORNÉ, L. D.
700 1 $aAMIAUD, B.
700 1 $aATKIN, O. K.
700 1 $aBAHN, M.
700 1 $aBALDOCCHI, D.
700 1 $aBECKMANN, M.
700 1 $aBLONDER, B.
700 1 $aBOND, W.
700 1 $aBOND-LAMBERTY, B.
700 1 $aBROWN, K.
700 1 $aBURRASCANO, S.
700 1 $aBYUN, C.
700 1 $aCAMPETELLA, G.
700 1 $aCAVENDER-BARES, J.
700 1 $aCHAPIN, F. S.
700 1 $aCHOAT, B.
700 1 $aCOOMES, D. A.
700 1 $aCORNWELL, W. K.
700 1 $aCRAINE, J.
700 1 $aCRAVEN, D.
700 1 $aDAINESE, M.
700 1 $aARAUJO, A. C. de
700 1 $aVRIES, F. T. de
700 1 $aDOMINGUES, T. F.
700 1 $aENQUIST, B. J.
700 1 $aFAGÚNDEZ, J.
700 1 $aFANG, J.
700 1 $aFERNÁNDEZ-MÉNDEZ, F.
700 1 $aFERNANDEZ-PIEDADE, M. T.
700 1 $aFORD, H.
700 1 $aFOREY, E.
700 1 $aFRESCHET, G. T.
700 1 $aGACHET, S.
700 1 $aGALLAGHER, R.
700 1 $aGREEN, W.
700 1 $aGUERIN, G. R.
700 1 $aGUTIÉRREZ, A. G.
700 1 $aHARRISON, S. P.
700 1 $aHATTINGH, W. N.
700 1 $aHE, T.
700 1 $aHICKLER, T.
700 1 $aHIGGINS, S. I.
700 1 $aHIGUCHI, P.
700 1 $aILIC, J.
700 1 $aJACKSON, R. B.
700 1 $aJALILI, A.
700 1 $aJANSEN, S.
700 1 $aKOIKE, F.
700 1 $aKÖNIG, C.
700 1 $aKRAFT, N.
700 1 $aKRAMER, K.
700 1 $aKREFT, H.
700 1 $aKÜHN, I.
700 1 $aKUROKAWA, H.
700 1 $aLAMB, E. G.
700 1 $aLAUGHLIN, D. C.
700 1 $aLEISHMAN, M.
700 1 $aLEWIS, S.
700 1 $aLOUAULT, F.
700 1 $aMALHADO, A. C. M.
700 1 $aMANNING, P.
700 1 $aMEIR, P.
700 1 $aMENCUCCINI, M.
700 1 $aMESSIER, J.
700 1 $aMILLER, R.
700 1 $aMINDEN, V.
700 1 $aMOLOFSKY, J.
700 1 $aMONTGOMERY, R.
700 1 $aMONTSERRAT-MARTÍ, G.
700 1 $aMORETTI, M.
700 1 $aMÜLLER, S.
700 1 $aNIINEMETS, Ü.
700 1 $aOGAYA, R.
700 1 $aÖLLERER, K.
700 1 $aONIPCHENKO, V.
700 1 $aONODA, Y.
700 1 $aOZINGA, W. A.
700 1 $aPAUSAS, J. G.
700 1 $aPECO, B.
700 1 $aPENUELAS, J.
700 1 $aPILLAR, V. D.
700 1 $aPLADEVALL, C.
700 1 $aRÖMERMANN, C.
700 1 $aSACK, L.
700 1 $aSALINAS, N.
700 1 $aSANDEL, B.
700 1 $aSARDANS, J.
700 1 $aSCHAMP, B.
700 1 $aSCHERER-LORENZEN, M.
700 1 $aSCHULZE, E.
700 1 $aSCHWEINGRUBER, F.
700 1 $aSHIODERA, S.
700 1 $aSOSINSKI JUNIOR, E. E.
700 1 $aSOUDZILOVSKAIA, N.
700 1 $aSPASOJEVIC, M. J.
700 1 $aSWAINE, E.
700 1 $aSWENSON, N.
700 1 $aTAUTENHAHN, S.
700 1 $aTHOMPSON, K.
700 1 $aTOTTE, A.
700 1 $aURRUTIA-JALABERT, R.
700 1 $aVALLADARES, F.
700 1 $aBODEGOM, P. V.
700 1 $aVASSEUR, F.
700 1 $aVERHEYEN, K.
700 1 $aVILE, D.
700 1 $aVIOLLE, C.
700 1 $aHOLLE, B. V.
700 1 $aWEIGELT, P.
700 1 $aWEIHER, E.
700 1 $aWIEMANN, M. C.
700 1 $aWILLIAMS, M.
700 1 $aWRIGHT, J.
700 1 $aZOTZ, G.
773 $tScientific Data$gv. 9, n. 1, 755, 2022.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Biblioteca |
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Origem |
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Cutter |
Registro |
Volume |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
10/06/2003 |
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Data da última atualização: |
10/06/2003 |
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Autoria: |
ALMEIDA, A. M. R.; ALMEIDA, L. A.; KIIHL, R. A. S. |
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Título: |
Seleção de genótipos de soja resistentes a duas estirpes de Soybean mosaic virus. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Fitopatologia Brasileira, Brasília, v. 26, n.1, p.99, mar. 2001. |
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Idioma: |
Português |
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Notas: |
Resumo em ingles. |
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Conteúdo: |
Soybean mosaic virus (SMV) is the most prevalent virus on soybeans (Glycine max) throughout the world. It causes mottling on seeds and has been associated with yield reduction. Recently, a new strain (SMV 95-1) was found infecting resistant cultivars, causing dwarfing and systemic necrosis. In a screening test carried out with the strains SMV 95-1 and SMV 95-2 on the germplasm collection, several resistant cvs. Embrapa 60, Embrapa 61, Embrapa 62, Embrapa 66 , Embrapa 133, Embrapa 134, Embrapa 135, and Embrapa 136 were identified as resistant to both strains. The resistant genotypes may serve in future soybean breeding programs in Brazil. |
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Categoria do assunto: |
-- |
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URL: |
https://www.scielo.br/pdf/fb/v26n1/a19v26n1.pdf
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Marc: |
LEADER 01119naa a2200157 a 4500
001 1461152
005 2003-06-10
008 2001 bl uuuu u00u1 u #d
100 1 $aALMEIDA, A. M. R.
245 $aSeleção de genótipos de soja resistentes a duas estirpes de Soybean mosaic virus.
260 $c2001
500 $aResumo em ingles.
520 $aSoybean mosaic virus (SMV) is the most prevalent virus on soybeans (Glycine max) throughout the world. It causes mottling on seeds and has been associated with yield reduction. Recently, a new strain (SMV 95-1) was found infecting resistant cultivars, causing dwarfing and systemic necrosis. In a screening test carried out with the strains SMV 95-1 and SMV 95-2 on the germplasm collection, several resistant cvs. Embrapa 60, Embrapa 61, Embrapa 62, Embrapa 66 , Embrapa 133, Embrapa 134, Embrapa 135, and Embrapa 136 were identified as resistant to both strains. The resistant genotypes may serve in future soybean breeding programs in Brazil.
700 1 $aALMEIDA, L. A.
700 1 $aKIIHL, R. A. S.
773 $tFitopatologia Brasileira, Brasília$gv. 26, n.1, p.99, mar. 2001.
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Embrapa Soja (CNPSO) |
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