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| 13. |  | OBATON, M.; MIGUEL, M.; ROBIN, P.; CONEJERO, G.; DOMENACH, A. M.; BARDIN, R. Influence of water deficit on nitrate reductase and nitrogenase activities in soybean. C. R. Acad. Sci., v.294, n.20, p.1007-1012, 1984.| Biblioteca(s): Embrapa Agrobiologia. |
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| 15. | | ANGNES, G.; OLIVEIRA, P. A. V. de; ROBIN, P.; HAUSSONA, M.; ROMANELLI, T. L. Emissão de amônia durante a produção de frangos de corte em aviário tipo Dark House no Sul do Brasil. In: SIMPÓSIO INTERNACIONAL DE AMBIÊNCIA E ENGENHARIA NA PRODUÇÃO ANIMAL SUSTENTÁVEL, 1.; SIMPÓSIO NACIONAL DE CONSTRUÇÕES RURAIS E AMBIÊNCIA, 5., Viçosa, MG, 2016. Ambiência e engenharia na produção animal sustentável: condições de climas quente e temperado. Viçosa, MG: UFV, 2016. p. 14-18. Editores Ilda de Fátima Ferreira Tinôco, Marcos Oliveira de Paula, Cecília de Fátima Souza, Fernando da Costa Baêta.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 25 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
16/04/2015 |
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Data da última atualização: |
05/08/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ROBIN, P.; AMAND, G.; AUBERT, C.; BABELA, N.; BRACHET, A.; BECKMANS, D.; BURTON, C.; CANART, B.; CELLIER, P.; DOLLÉ, J. B.; DONG, H. M.; DURIF, M.; EHRLACHER, A.; EREN ÖZCAN, S.; ESPAGNOL, S.; GAUTIER, S.; GUINGAND, N.; GUINZIOU, F.; HARTUNG, E.; HASSOUANA, M.; LANDRAIN, P.; LEE, I. B.; LELEU, C.; LI, Y. S.; LIAO, X. D.; LOUBET, B.; LOYON, L.; LUTH; NICKS, B.; OLIVEIRA, P. A. V. de; PONCHANT, P.; POWERS, W.; RAMONET, Y.; SOMMER, S. G.; THIARD, J.; WANG, K. Y.; XIN, H.; YOUSSEF, A. |
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Afiliação: |
1INRA, UMR SAS, Rannes, France.; ITAVI, Poulfrangan, France.; ITAVI, Poulfrangan, France.; 1 INRA, UMR SAS, Rannes, France.; IDELE, Arras, France.; M3-BIORES, K. U. Leuven, Belgium.; IRSTEA, Rennes, France.; Univ. Liège, Belgium.; 1 INRA, UMR SAS, Rannes, France.; M3-BIORES, K. U. Leuven, Belgium.; CAS, Beijing, P.R. China.; INERIS, Paris, France.; ITAVI, Poulfrangan, France.; M3-BIORES, K. U. Leuven, Belgium.; IFIP, Le Rheu, France.; INERIS, Paris, France.; IFIP, Le Rheu, France.; IRSTEA, Rennes, France.; Univ Kiel, Germany.; 1 INRA, UMR SAS, Rannes, France.; CRAB, Rennes, France.; Univ. Seoul, South Korea.; 1 INRA, UMR SAS, Rannes, France.; Univ. Jiao Tong, Shanghai, P.R. China.; SCAU, Guandong, P.R. China.; 1 INRA, UMR SAS, Rannes, France.; IRSTEA, Rennes, France.; 1 INRA, UMR SAS, Rannes, France.; Univ. Liège , Belgium.; PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA; ITAVI, Poulfrangan, France.; Univ. Liège , Belgium.; Univ. Michigan, U.S.A.; Univ. South Denmark, Denmark.; 1 INRA, UMR SAS, Rannes, France.; Zhejiang University, P.R. China.; Iowa State Univ., U.S.A.; M3-BIORES, K. U. Leuven, Belgium. |
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Título: |
Reference procedures for the measurement of gaseous emissions from livestock houses and stores of animal manure. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON EMISSIONS OF GAS AND DUST FROM LIVESTOCK, 2012, Saint-Malo. [Proceedings?]. Saint-Brieuc: INRA; Le Rheu: IFIP-Institut du Porc, 2013. EMILI 2012. |
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Idioma: |
Inglês |
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Notas: |
Edited by Mélynda Hassouna and Nadine Guingand. |
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Conteúdo: |
In the ten years before the EMILI 2012 symposium, gaseous losses from animal farms became increasingly important in the m edia. The paradox of this tendency was the great number of publications, scientific or not, even though the emissions of most animal farms had never been measured. Therefor e, the development of reference tools to measure greenhouse gas and ammonia emissio ns was important. Such tools allow recognition and remuneration of the best pract ices and equipment. Accordingly, ADEME funded an international project associating several research and development organizations involved with the animal production chain. The project proposed an initial set of 18 procedures to measure ammonia and greenho use gas emissions from animal houses and manure stores. These were adapted to the diversity of animal farms found throughout the world. Some methods were compared duri ng a ?building? and a ?liquid manure? experiment. Results showed a high difference among methods (ca. 80%), much higher than the estimated uncertainty. Associat ing independent emission measurements, together with a mass balance of the system, is necessary for the reliability of further results. However, previously published references lack uncertainty estimates of measurements that conform to GUM 2008. In the coming years, this is one of the major concerns for measuring emission factor s. Uncertainty estimates should depend on the measurand (temporal: hourly, per batch, yearly; spatial: animal, house, national) and include the uncertainties associated with system representativity and temporal interpolation. MenosIn the ten years before the EMILI 2012 symposium, gaseous losses from animal farms became increasingly important in the m edia. The paradox of this tendency was the great number of publications, scientific or not, even though the emissions of most animal farms had never been measured. Therefor e, the development of reference tools to measure greenhouse gas and ammonia emissio ns was important. Such tools allow recognition and remuneration of the best pract ices and equipment. Accordingly, ADEME funded an international project associating several research and development organizations involved with the animal production chain. The project proposed an initial set of 18 procedures to measure ammonia and greenho use gas emissions from animal houses and manure stores. These were adapted to the diversity of animal farms found throughout the world. Some methods were compared duri ng a ?building? and a ?liquid manure? experiment. Results showed a high difference among methods (ca. 80%), much higher than the estimated uncertainty. Associat ing independent emission measurements, together with a mass balance of the system, is necessary for the reliability of further results. However, previously published references lack uncertainty estimates of measurements that conform to GUM 2008. In the coming years, this is one of the major concerns for measuring emission factor s. Uncertainty estimates should depend on the measurand (temporal: hourly, per batch, yearly; spatial: animal, house, nat... Mostrar Tudo |
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Palavras-Chave: |
EMILI 2012. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/122431/1/final7486.pdf
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Marc: |
LEADER 03244nam a2200577 a 4500
001 2013667
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100 1 $aROBIN, P.
245 $aReference procedures for the measurement of gaseous emissions from livestock houses and stores of animal manure.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON EMISSIONS OF GAS AND DUST FROM LIVESTOCK, 2012, Saint-Malo. [Proceedings?]. Saint-Brieuc: INRA; Le Rheu: IFIP-Institut du Porc, 2013. EMILI 2012.$c2012
500 $aEdited by Mélynda Hassouna and Nadine Guingand.
520 $aIn the ten years before the EMILI 2012 symposium, gaseous losses from animal farms became increasingly important in the m edia. The paradox of this tendency was the great number of publications, scientific or not, even though the emissions of most animal farms had never been measured. Therefor e, the development of reference tools to measure greenhouse gas and ammonia emissio ns was important. Such tools allow recognition and remuneration of the best pract ices and equipment. Accordingly, ADEME funded an international project associating several research and development organizations involved with the animal production chain. The project proposed an initial set of 18 procedures to measure ammonia and greenho use gas emissions from animal houses and manure stores. These were adapted to the diversity of animal farms found throughout the world. Some methods were compared duri ng a ?building? and a ?liquid manure? experiment. Results showed a high difference among methods (ca. 80%), much higher than the estimated uncertainty. Associat ing independent emission measurements, together with a mass balance of the system, is necessary for the reliability of further results. However, previously published references lack uncertainty estimates of measurements that conform to GUM 2008. In the coming years, this is one of the major concerns for measuring emission factor s. Uncertainty estimates should depend on the measurand (temporal: hourly, per batch, yearly; spatial: animal, house, national) and include the uncertainties associated with system representativity and temporal interpolation.
653 $aEMILI 2012
700 1 $aAMAND, G.
700 1 $aAUBERT, C.
700 1 $aBABELA, N.
700 1 $aBRACHET, A.
700 1 $aBECKMANS, D.
700 1 $aBURTON, C.
700 1 $aCANART, B.
700 1 $aCELLIER, P.
700 1 $aDOLLÉ, J. B.
700 1 $aDONG, H. M.
700 1 $aDURIF, M.
700 1 $aEHRLACHER, A.
700 1 $aEREN ÖZCAN, S.
700 1 $aESPAGNOL, S.
700 1 $aGAUTIER, S.
700 1 $aGUINGAND, N.
700 1 $aGUINZIOU, F.
700 1 $aHARTUNG, E.
700 1 $aHASSOUANA, M.
700 1 $aLANDRAIN, P.
700 1 $aLEE, I. B.
700 1 $aLELEU, C.
700 1 $aLI, Y. S.
700 1 $aLIAO, X. D.
700 1 $aLOUBET, B.
700 1 $aLOYON, L.
700 1 $aLUTH
700 1 $aNICKS, B.
700 1 $aOLIVEIRA, P. A. V. de
700 1 $aPONCHANT, P.
700 1 $aPOWERS, W.
700 1 $aRAMONET, Y.
700 1 $aSOMMER, S. G.
700 1 $aTHIARD, J.
700 1 $aWANG, K. Y.
700 1 $aXIN, H.
700 1 $aYOUSSEF, A.
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