| Records |
| Author |
Kebreab, E.; Tedeschi, L.; Dijkstra, J.; Ellis, J.L.; Bannink, A.; France, J. |
| Title |
Modeling Greenhouse Gas Emissions from Enteric Fermentation |
Type |
Book Chapter |
| Year |
2016 |
Publication  |
Advances in Agricultural Systems |
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| Volume |
6 |
Issue |
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Pages |
173-196 |
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| Abstract |
Livestock directly contribute to greenhouse gas (GHG) emissions mainly through methane (CH4) and nitrous oxide (N2O) emissions. For cost and practicality reasons, quantification of GHG has been through development of various types of mathematical models. This chapter addresses the utility and limitations of mathematical models used to estimate enteric CH4 emissions from livestock production. Models used in GHG quantification can be broadly classified into either empirical or mechanistic models. Empirical models might be easier to use because they require fewer input variables compared with mechanistic models. However, their applicability in assessing mitigation options such as dietary manipulation may be limited. The major driving variables identified for both types of models include feed intake, lipid and nonstructural carbohydrate content of the feed, and animal variables. Knowledge gaps identified in empirical modeling were that some of the assumptions might not be valid because of geographical location, health status of animals, genetic differences, or production type. In mechanistic modeling, errors related to estimating feed intake, stoichiometry of volatile fatty acid (VFA) production, and acidity of rumen contents are limitations that need further investigation. Model prediction uncertainty was also investigated, and, depending on the intensity and source of the prediction uncertainty, the mathematical model may inaccurately predict the observed values with more or less variability. In conclusion, although there are quantification tools available, global collaboration is required to come to a consensus on quantification protocols. This can be achieved through developing various types of models specific to region, animal, and production type using large global datasets developed through international collaboration. |
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Kebreab, E. |
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Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation |
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Advances in Agricultural Systems (6) |
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LiveM, ftnotmacsur |
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no |
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MA @ admin @ |
Serial |
5032 |
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| Author |
Leclère, D.; Havlík, P. |
| Title |
Modelling heat stress on livestock: how can we reach long-term and global coverage |
Type |
Journal Article |
| Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
| Volume |
7 |
Issue |
03 |
Pages |
248-249 |
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2040-4700 |
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LiveM, TradeM, ft_macsur |
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MA @ admin @ |
Serial |
4867 |
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Sándor, R.; Ehrhardt, F.; Basso, B.; Bellocchi, G.; Bhatia, A.; Brilli, L.; Migliorati, M.D.A.; Doltra, J.; Dorich, C.; Doro, L.; Fitton, N.; Giacomini, S.J.; Grace, P.; Grant, B.; Harrison, M.T.; Jones, S.; Kirschbaum, M.U.F.; Klumpp, K.; Laville, P.; Léonard, J.; Liebig, M.; Lieffering, M.; Martin, R.; McAuliffe, R.; Meier, E.; Merbold, L.; Moore, A.; Myrgiotis, V.; Newton, P.; Pattey, E.; Recous, S.; Rolinski, S.; Sharp, J.; Massad, R.S.; Smith, P.; Smith, W.; Snow, V.; Wu, L.; Zhang, Q.; Soussana, J.F. |
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C and N models Intercomparison – benchmark and ensemble model estimates for grassland production |
Type |
Journal Article |
| Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
| Volume |
7 |
Issue |
03 |
Pages |
245-247 |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
Serial |
4868 |
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Heinschink, K.; Sinabell, F.; Tribl, C. |
| Title |
An index-based production costs system to evaluate costs of adaptation and mitigation in dairy and cattle farming |
Type |
Journal Article |
| Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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7 |
Issue |
03 |
Pages |
242-244 |
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2040-4700 |
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LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4869 |
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Hempel, S.; Janke, D.; König, M.; Menz, C.; Englisch, A.; Pinto, S.; Sibony, V.; Halachmi, I.; Rong, L.; Zong, C.; Zhang, G.; Sanchis, E.; Estelle, F.; Calvet, S.; Galan, E.; del Prado, A.; Ammon, C.; Amon, B.; Amon, T. |
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Integrated modelling to assess optimisation potentials for cattle housing climate |
Type |
Journal Article |
| Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
| Volume |
7 |
Issue |
03 |
Pages |
261-262 |
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2040-4700 |
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LiveM, ft_macsur |
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no |
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MA @ admin @ |
Serial |
4862 |
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