Evaluation of the performance of existing mathematical models predicting enteric methane emissions from ruminants:Animal categories and dietary mitigation strategies

Autor: Peter J. Moate, Mark McGee, Cécile Martin, Zhongtang Yu, Jan Dijkstra, Angela Schwarm, Nico Peiren, K. J. Shingfield, Mmichael Kreuzer, Alexander N. Hristov, A.L.F. Hellwing, André Bannink, Ermias Kebreab, Maguy Eugène, Peter Lund, Les A. Crompton, Ali R. Bayat, Martin Riis Weisbjerg, Christopher K. Reynolds, Xinran Li, David R. Yáñez-Ruiz, Mohammed Benaouda

Publikováno v: Benaouda, M, Martin, C, Li, X, Kebreab, E, Hristov, A N, Yu, Z, Yáñez-Ruiz, D R, Reynolds, C K, Crompton, L A, Dijkstra, J, Bannink, A, Schwarm, A, Kreuzer, M, McGee, M, Lund, P, Hellwing, A L F, Weisbjerg, M R, Moate, P J, Bayat, A R, Shingfield, K J, Peiren, N & Eugène, M 2019, ' Evaluation of the performance of existing mathematical models predicting enteric methane emissions from ruminants : Animal categories and dietary mitigation strategies ', Animal Feed Science and Technology, vol. 255, 114207 . https://doi.org/10.1016/j.anifeedsci.2019.114207
Animal Feed Science and Technology
Animal Feed Science and Technology, Elsevier Masson, 2019
Digital.CSIC. Repositorio Institucional del CSIC
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Animal Feed Science and Technology 255 (2019)
Animal Feed Science and Technology, Elsevier Masson, 2019, 255, pp.114207. ⟨10.1016/j.anifeedsci.2019.114207⟩
Animal Feed Science and Technology, 2019, 255, pp.114207. ⟨10.1016/j.anifeedsci.2019.114207⟩
Animal Feed Science and Technology, 255

The objective of this study was to evaluate the performance of existing models predicting enteric methane (CH) emissions, using a large database (3183 individual data from 103 in vivo studies on dairy and beef cattle, sheep and goats fed diets from d

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https://pure.au.dk/ws/files/201921043/ANIFEE_2019_15_R2_1_.pdf