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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
05/03/2021 |
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Data da última atualização: |
11/11/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
ZAMAN, M.; KLEINEIDAM, K.; BAKKEN, L.; BERENDT, J.; BRACKEN, C.; BUTTERBACH-BAHL, K.; CAI, Z.; CHANG, S. X.; CLOUGH, T.; DAWAR, K.; DING, W. X.; DÖRSCH, P.; MARTINS, M. dos R.; ECKHARDT, C.; FIEDLER, T.; FROSCH, T.; GOOPY, J.; GORRES, C. M.; GUPTA, A.; HENJES, S.; HOFMMAN, M. E. G.; HORN, M. A.; JAHANGIR, M. M. R.; JANSEN-WILLEMS, A.; LENHART, K.; HENG, L.; LEWICKA-SZCZEBAK, D.; LUCIC, G.; MERBOLD, L.; MOHN, J.; MOLSTAD, L.; MOSER, G.; MURPHY, P.; SANZ-COBENA, A.; SIMEK, M.; URQUIAGA, S.; WELL, R.; WRAGE-MÖNNIG, N.; ZAMAN, S.; SHANG, J.; MÜLLER, C. |
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Título: |
Methane production in ruminant animals. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6. |
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Páginas: |
p. 177-211 |
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ISBN: |
978-3-030-55396-8 |
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DOI: |
https://doi.org/10.1007/978-3-030-55396-8_6 |
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Idioma: |
Inglês |
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Conteúdo: |
Agriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included |
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Thesaurus Nal: |
Animal wastes; Animals; cattle; climate change; greenhouse gas emissions; urine. |
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Categoria do assunto: |
-- |
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Marc: |
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024 7 $ahttps://doi.org/10.1007/978-3-030-55396-8_6$2DOI
100 1 $aZAMAN, M.
245 $aMethane production in ruminant animals.$h[electronic resource]
260 $c2021
300 $ap. 177-211
520 $aAgriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included
650 $aAnimal wastes
650 $aAnimals
650 $acattle
650 $aclimate change
650 $agreenhouse gas emissions
650 $aurine
700 1 $aKLEINEIDAM, K.
700 1 $aBAKKEN, L.
700 1 $aBERENDT, J.
700 1 $aBRACKEN, C.
700 1 $aBUTTERBACH-BAHL, K.
700 1 $aCAI, Z.
700 1 $aCHANG, S. X.
700 1 $aCLOUGH, T.
700 1 $aDAWAR, K.
700 1 $aDING, W. X.
700 1 $aDÖRSCH, P.
700 1 $aMARTINS, M. dos R.
700 1 $aECKHARDT, C.
700 1 $aFIEDLER, T.
700 1 $aFROSCH, T.
700 1 $aGOOPY, J.
700 1 $aGORRES, C. M.
700 1 $aGUPTA, A.
700 1 $aHENJES, S.
700 1 $aHOFMMAN, M. E. G.
700 1 $aHORN, M. A.
700 1 $aJAHANGIR, M. M. R.
700 1 $aJANSEN-WILLEMS, A.
700 1 $aLENHART, K.
700 1 $aHENG, L.
700 1 $aLEWICKA-SZCZEBAK, D.
700 1 $aLUCIC, G.
700 1 $aMERBOLD, L.
700 1 $aMOHN, J.
700 1 $aMOLSTAD, L.
700 1 $aMOSER, G.
700 1 $aMURPHY, P.
700 1 $aSANZ-COBENA, A.
700 1 $aSIMEK, M.
700 1 $aURQUIAGA, S.
700 1 $aWELL, R.
700 1 $aWRAGE-MÖNNIG, N.
700 1 $aZAMAN, S.
700 1 $aSHANG, J.
700 1 $aMÜLLER, C.
773 $tIn: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6.
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Embrapa Agrobiologia (CNPAB) |
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| Registros recuperados : 345 | |
| 3. |  | MORAIS, O. P. de. Seleção recorrente em autógamas. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 1., 2001, Goiânia. Anais... Santo Antônio de Goiás: Embrapa Arroz e Feijao, 2001.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 4. | | MORAIS, O. P. de. Tamaño efectivo de la población. In: GUIMARÃES, E. P. (ed.). Seleccion recurrente en arroz. Cali: CIAT, 1997. p. 25-44. (CIAT. Publicación, 267).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 5. | | MORAIS, O. P. de. Melhoramento de arroz no Brasil. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 2., 2003, Porto Seguro. Melhoramento e qualidade de vida: anais. Porto Seguro: SBMP, 2003.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 345 | |
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