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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
14/12/2022 |
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Data da última atualização: |
14/12/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
ANDRADE, W. R.; PERNA JUNIOR, F.; BERTOLONI, A. V.; LELIS, A. L. J.; TRETTEL, M.; OLIVEIRA, P. P. A.; RODRIGUES, P. H. M. |
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Afiliação: |
WILLIAN RUFINO ANDRADE, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo (FMVZ/USP), Pirassununga – SP.; FLÁVIO PERNA JUNIOR, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo (FMVZ/USP), Pirassununga – SP.; ANALISA VASQUES BERTOLONI, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo (FZEA/USP), Pirassununga – SP.; ANA LAURA JANUÁRIO LELIS, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo (FZEA/USP), Pirassununga – SP.; MURILO TRETTEL, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo (FZEA/USP), Pirassununga – SP.; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; PAULO HENRIQUE MAZZA RODRIGUES, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo (FMVZ/USP), Pirassununga – SP. |
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Título: |
Nitrate: its role on ruminal fermentation of beef cattle under intensified grazing system. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: GOBESSO, A. A. de O.; GARBOSSA, C. A. P.; BALIEIRO, J. C. de C.; BRUNETTO, M. A.; VENTURA, R. V. Novos desafios da pesquisa em nutrição e produção animal. Pirassununga: 5D Editora, 2022. |
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Páginas: |
p. 368-394. |
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ISBN: |
978-65-993266-3-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Rumen fermentation it is one of the contributors to the greenhouse gases emission (GHG) that causes global warming, and due to that reason livestock production is scrutinized and questioned all around the world on how GHG emissions from this subsector can be mitigated. A range of techniques have been studied by animal scientist, at nutritional level, to mitigate methane emission. Nitrate is of them, and it has a double important role on rumen fermentation, acting as a source of non-protein nitrogen, and as an electron sink path that allows the redirection of hydrogen to nitrate reduction, instead of being used in the methanogenesis process, and thus reducing methane emission. The partial results here presented shows that nitrate does not affect forage, supplement, and total dry mater intake, and neither short chain fatty acids production, however, methane emission (g.kg.day-1) and CO2eq emissions per kg. head-1d-1were reduced when nitrate was added in the diet. Thus, nitrate has the ability in changing rumen fermentation, which besides acting as source of non-protein nitrogen, also mitigate anthropic GHG emissions from enteric fermentation. |
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Palavras-Chave: |
CO2eq emissions; Greenhouse gases emission; Methanogenesis process; Mitigate methane emission; Source of non protein nitrogen. |
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Thesaurus Nal: |
Livestock production; Rumen fermentation. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1149676/1/NitrateRoleRuminal.pdf
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Marc: |
LEADER 02223naa a2200301 a 4500
001 2149676
005 2022-12-14
008 2022 bl uuuu u00u1 u #d
020 $a978-65-993266-3-9
100 1 $aANDRADE, W. R.
245 $aNitrate$bits role on ruminal fermentation of beef cattle under intensified grazing system.$h[electronic resource]
260 $c2022
300 $ap. 368-394.
520 $aRumen fermentation it is one of the contributors to the greenhouse gases emission (GHG) that causes global warming, and due to that reason livestock production is scrutinized and questioned all around the world on how GHG emissions from this subsector can be mitigated. A range of techniques have been studied by animal scientist, at nutritional level, to mitigate methane emission. Nitrate is of them, and it has a double important role on rumen fermentation, acting as a source of non-protein nitrogen, and as an electron sink path that allows the redirection of hydrogen to nitrate reduction, instead of being used in the methanogenesis process, and thus reducing methane emission. The partial results here presented shows that nitrate does not affect forage, supplement, and total dry mater intake, and neither short chain fatty acids production, however, methane emission (g.kg.day-1) and CO2eq emissions per kg. head-1d-1were reduced when nitrate was added in the diet. Thus, nitrate has the ability in changing rumen fermentation, which besides acting as source of non-protein nitrogen, also mitigate anthropic GHG emissions from enteric fermentation.
650 $aLivestock production
650 $aRumen fermentation
653 $aCO2eq emissions
653 $aGreenhouse gases emission
653 $aMethanogenesis process
653 $aMitigate methane emission
653 $aSource of non protein nitrogen
700 1 $aPERNA JUNIOR, F.
700 1 $aBERTOLONI, A. V.
700 1 $aLELIS, A. L. J.
700 1 $aTRETTEL, M.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aRODRIGUES, P. H. M.
773 $tIn: GOBESSO, A. A. de O.; GARBOSSA, C. A. P.; BALIEIRO, J. C. de C.; BRUNETTO, M. A.; VENTURA, R. V. Novos desafios da pesquisa em nutrição e produção animal. Pirassununga: 5D Editora, 2022.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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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. |
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.
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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.
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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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