Modeling methane production from beef cattle using linear and nonlinear approaches.

@article{Ellis2009ModelingMP,
  title={Modeling methane production from beef cattle using linear and nonlinear approaches.},
  author={Jennifer Lynn Ellis and Ermias Kebreab and Nicholas E. Odongo and Katherine Beauchemin and Sean M. McGinn and Joshua D Nkrumah and Stephen Stewart Moore and Robert Christopherson and Gordon K. Murdoch and Brian W Mcbride and Erasmus Kojo Okine and James France},
  journal={Journal of animal science},
  year={2009},
  volume={87 4},
  pages={1334-45}
}
Canada is committed to reducing its greenhouse gas emissions to 6% below 1990 amounts between 2008 and 2012, and methane is one of several greenhouse gases being targeted for reduction. Methane production from ruminants is one area in which the agriculture sector can contribute to reducing our global impact. Through mathematical modeling, we can further our understanding of factors that control methane production, improve national or global greenhouse gas inventories, and investigate mitigation… CONTINUE READING

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DMI (kg/d) Mills et al • 2003
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As a follow-up to the study by Ellis et al. (2007), in this study regression analysis was conducted, using the MIXED model described above, on a more extensive database of animal

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Eq. 14b CH4 (MJ/d) = 2.94(±1.16) + 0.0585(±0.0201) × MEI (MJ/d) + 1.44(±0.331) × ADF (kg/d) − 4.16(±1.93) × Lignin (kg/d

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