Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Olga L. Mayorga"'
Autor:
Sharon A. Huws, Christopher J. Creevey, Linda B. Oyama, Itzhak Mizrahi, Stuart E. Denman, Milka Popova, Rafael Muñoz-Tamayo, Evelyne Forano, Sinead M. Waters, Matthias Hess, Ilma Tapio, Hauke Smidt, Sophie J. Krizsan, David R. Yáñez-Ruiz, Alejandro Belanche, Leluo Guan, Robert J. Gruninger, Tim A. McAllister, C. Jamie Newbold, Rainer Roehe, Richard J. Dewhurst, Tim J. Snelling, Mick Watson, Garret Suen, Elizabeth H. Hart, Alison H. Kingston-Smith, Nigel D. Scollan, Rodolpho M. do Prado, Eduardo J. Pilau, Hilario C. Mantovani, Graeme T. Attwood, Joan E. Edwards, Neil R. McEwan, Steven Morrisson, Olga L. Mayorga, Christopher Elliott, Diego P. Morgavi
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
The rumen is a complex ecosystem composed of anaerobic bacteria, protozoa, fungi, methanogenic archaea and phages. These microbes interact closely to breakdown plant material that cannot be digested by humans, whilst providing metabolic energy to the
Externí odkaz:
https://doaj.org/article/c3e796147477451e83e0e0fed90a8f00
Autor:
Alejandro Belanche, Alexander N. Hristov, Henk J. van Lingen, Stuart E. Denman, Ermias Kebreab, Angela Schwarm, Michael Kreuzer, Mutian Niu, Maguy Eugène, Vincent Niderkorn, Cécile Martin, Harry Archimède, Mark McGee, Christopher K. Reynolds, Les A. Crompton, Ali Reza Bayat, Zhongtang Yu, André Bannink, Jan Dijkstra, Alex V. Chaves, Harry Clark, Stefan Muetzel, Vibeke Lind, Jon M. Moorby, John A. Rooke, Aurélie Aubry, Walter Antezana, Min Wang, Roger Hegarty, V. Hutton Oddy, Julian Hill, Philip E. Vercoe, Jean Víctor Savian, Adibe Luiz Abdalla, Yosra A. Soltan, Alda Lúcia Gomes Monteiro, Juan Carlos Ku-Vera, Gustavo Jaurena, Carlos A. Gómez-Bravo, Olga L. Mayorga, Guilhermo F.S. Congio, David R. Yáñez-Ruiz
Publikováno v:
Journal of Cleaner Production, 384
Journal of Cleaner Production 384 (2023)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Journal of Cleaner Production
Aberystwyth University
Journal of Cleaner Production 384 (2023)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Journal of Cleaner Production
Aberystwyth University
Enteric methane (CH4) emissions from sheep contribute to global greenhouse gas emissions from livestock. However, as already available for dairy and beef cattle, empirical models are needed to predict CH4 emissions from sheep for accounting purposes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0e77dd12f3f69b98cc3970ee8ea54bb
https://research.wur.nl/en/publications/prediction-of-enteric-methane-emissions-by-sheep-using-an-interco
https://research.wur.nl/en/publications/prediction-of-enteric-methane-emissions-by-sheep-using-an-interco
Autor:
Guilhermo F.S. Congio, André Bannink, Olga L. Mayorga, João P.P. Rodrigues, Adeline Bougouin, Ermias Kebreab, Ricardo R. Silva, Rogério M. Maurício, Sila C. da Silva, Patrícia P.A. Oliveira, Camila Muñoz, Luiz G.R. Pereira, Carlos Gómez, Claudia Ariza-Nieto, Henrique M.N. Ribeiro-Filho, Octavio A. Castelán-Ortega, Jaime R. Rosero-Noguera, Maria P. Tieri, Paulo H.M. Rodrigues, Marcos I. Marcondes, Laura Astigarraga, Sergio Abarca, Alexander N. Hristov
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Science of the Total Environment 825 (2022)
Science of the Total Environment, 825
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Science of the Total Environment 825 (2022)
Science of the Total Environment, 825
Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a07006645115ebb5e54636cc873d3fa
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146525
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146525
Autor:
Guilhermo F.S. Congio, André Bannink, Olga L. Mayorga, João P.P. Rodrigues, Adeline Bougouin, Ermias Kebreab, Paulo C.F. Carvalho, Telma T. Berchielli, Maria E.Z. Mercadante, Sebastião C. Valadares-Filho, Ana L.C.C. Borges, Alexandre Berndt, Paulo H.M. Rodrigues, Juan C. Ku-Vera, Isabel C. Molina-Botero, Jacobo Arango, Ricardo A. Reis, Sandra L. Posada-Ochoa, Thierry R. Tomich, Octavio A. Castelán-Ortega, Marcos I. Marcondes, Carlos Gómez, Henrique M.N. Ribeiro-Filho, José I. Gere, Claudia Ariza-Nieto, Luis A. Giraldo, Horacio Gonda, María E. Cerón-Cucchi, Olegario Hernández, Patricia Ricci, Alexander N. Hristov
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Science of the Total Environment, 856
Science of the Total Environment 856 (2023)
Universidade de São Paulo (USP)
instacron:USP
Science of the Total Environment, 856
Science of the Total Environment 856 (2023)
On-farm methane (CH4) emissions need to be estimated accurately so that the mitigation effect of recommended practices can be accounted for. In the present study prediction equations for enteric CH4 have been developed in lieu of expensive animal mea
Autor:
Guilhermo F.S. Congio, André Bannink, Olga L. Mayorga, João P.P. Rodrigues, Adeline Bougouin, Ermias Kebreab, Paulo C.F. Carvalho, Adibe L. Abdalla, Alda L.G. Monteiro, Juan C. Ku-Vera, José I. Gere, Carlos Gómez, Alexander N. Hristov
Publikováno v:
Livestock Science, 264
Livestock Science 264 (2022)
Livestock Science 264 (2022)
Methane (CH4) produced from enteric fermentation in ruminants has a noticeable impact on climate change. Prediction models are an alternative to current laborious and costly in vivo CH4 measurement techniques. The objectives of this study were to: (1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7640751dab18f9aadc2e001444dc537e
https://research.wur.nl/en/publications/prediction-of-enteric-methane-production-and-yield-in-sheep-using
https://research.wur.nl/en/publications/prediction-of-enteric-methane-production-and-yield-in-sheep-using