Aspects of rumen microbiology central to mechanistic modelling of methane production in cattle

被引:183
作者
Ellis, J. L. [1 ]
Dijkstra, J. [2 ]
Kebreab, E. [3 ]
Bannink, A. [4 ]
Odongo, N. E. [5 ]
McBride, B. W. [1 ]
France, J. [1 ]
机构
[1] Univ Guelph, Ctr Nutr Modelling, Dept Anim & Poultry Sci, Guelph, ON N1G 2W1, Canada
[2] Wageningen Univ, Wageningen Inst Anim Sci, Anim Nutr Grp, NL-6709 PG Wageningen, Netherlands
[3] Univ Manitoba, Dept Anim Sci, Winnipeg, MB R3T 2N2, Canada
[4] Wageningen Univ & Res Ctr, Div Anim Prod, Anim Sci Grp, NL-8200 AB Lelystad, Netherlands
[5] Lethbridge Res Ctr, Agr & Agri Food Canada, Lethbridge, AB T1J 4B1, Canada
关键词
D O I
10.1017/S0021859608007752
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Methane, in addition to being a significant source of energy loss to the animal that can range from 0.02 to 0.12 of gross energy intake, is one of the major greenhouse gases being targeted for reduction by the Kyoto protocol. Thus, one of the focuses of recent research in animal science has been to develop or improve existing methane prediction models in order to increase overall understanding of the system and to evaluate mitigation strategies for methane reduction. Several dynamic mechanistic models of rumen function have been developed which contain hydrogen gas balance sub-models from which methane production can be predicted. These models predict methane production with varying levels of success and in many cases could benefit from further development. Central to methane prediction is accurate volatile fatty acid prediction, representation of the competition for substrate usage within the rumen, as well as descriptions of protozoal dynamics and pH. Most methane models could also largely benefit from an expanded description of lipid metabolism and hindgut fermentation. The purpose of the current review is to identify key aspects of rumen microbiology that could be incorporated into, or have improved representation within, a model of ruminant digestion and environmental emissions.
引用
收藏
页码:213 / 233
页数:21
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