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Author Mingelgrin, U. url  openurl
  Title Alternative Water Sources to Compensate For Loss of Water Availability to Agriculture due to Climate Change Type Conference Article
  Year 2015 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords TradeM  
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  Corporate Author Thesis  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference TradeM International Workshop, Securing Food Using Non-Conventional Water Sources, 2015-02-24 to 2015-02-24  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2644  
Permanent link to this record
 

 
Author Goffart, J.-P. url  openurl
  Title iPot & BELCAM : two precision agriculture projects for the potato crop Type Conference Article
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference EAPR 2016 (Agro-Physiology Section), 2016-09-26 to 2016-09-29  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4891  
Permanent link to this record
 

 
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 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  
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Author Challinor, A. url  openurl
  Title What does the Paris Agreement mean for crop-climate modelling? Type Conference Article
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Corporate Author Thesis  
  Publisher Place of Publication Berlin (Germany) Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4893  
Permanent link to this record
 

 
Author Jennings, S.; Koehler, A.-K.; Sait, S.; Challinor, A. url  openurl
  Title The abiotic and biotic impacts of climate change on potato agriculture Type Conference Article
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Berlin (Germany) Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4892  
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