... Home

MACSUR Literature Database

Home |  Show All |  Simple Search |  Advanced Search
Quick Search:
66–70 of 202 records found matching your query (RSS):
toggle visibility Search & Display Options
Select All    Deselect All [1–10] << 11 12 13 14 15 16 17 18 19 20 >> [21–30]
List View
 | 
Citations
 | 
Details
   print
  Records Links
Author Kebreab, E.; Tedeschi, L.; Dijkstra, J.; Ellis, J.L.; Bannink, A.; France, J. url  doi
openurl 
  Title Modeling Greenhouse Gas Emissions from Enteric Fermentation Type Book Chapter
  Year 2016 Publication (up) Advances in Agricultural Systems Abbreviated Journal  
  Volume 6 Issue Pages 173-196  
  Keywords  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Kebreab, E.  
  Language Summary Language Original Title  
  Series Editor Series Title Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation Abbreviated Series Title  
  Series Volume Advances in Agricultural Systems (6) Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes LiveM, ftnotmacsur Approved no  
  Call Number MA @ admin @ Serial 5032  
Permanent link to this record
 
 
Author Leclère, D.; Havlík, P. url  doi
openurl 
  Title Modelling heat stress on livestock: how can we reach long-term and global coverage Type Journal Article
  Year 2016 Publication (up) Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 7 Issue 03 Pages 248-249  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2040-4700 ISBN Medium  
  Area Expedition Conference  
  Notes LiveM, TradeM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4867  
Permanent link to this record
 
 
Author 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. url  doi
openurl 
  Title C and N models Intercomparison – benchmark and ensemble model estimates for grassland production Type Journal Article
  Year 2016 Publication (up) Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 7 Issue 03 Pages 245-247  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2040-4700 ISBN Medium  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4868  
Permanent link to this record
 
 
Author Heinschink, K.; Sinabell, F.; Tribl, C. url  doi
openurl 
  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 (up) Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 7 Issue 03 Pages 242-244  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2040-4700 ISBN Medium  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4869  
Permanent link to this record
 
 
Author 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. url  doi
openurl 
  Title Integrated modelling to assess optimisation potentials for cattle housing climate Type Journal Article
  Year 2016 Publication (up) Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 7 Issue 03 Pages 261-262  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2040-4700 ISBN Medium  
  Area Expedition Conference  
  Notes LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4862  
Permanent link to this record
Select All    Deselect All [1–10] << 11 12 13 14 15 16 17 18 19 20 >> [21–30]
List View
 | 
Citations
 | 
Details
   print
toggle visibility
Save Citations:
Export Records:
Home CQL Search  |  Library Search  |  Show Record  |  Extract Citations Help