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Bartley, D. |
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Title |
Do modellers dream of electric sheep? – Practical to mathematical and back again |
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2014 |
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Disease agents, whether viral, bacterial or parasitic, infecting grazing domestic animals represent a significant threat to livestock health and welfare and to food security, globally. In addition, inefficiency in production due to sub-clinical disease adds significantly to a farm’s environmental footprint. Projected climatic changes over the short-medium term have implications for livestock pests and pathogens, both directly and indirectly, and will result in changing disease patterns e.g. incidence, seasonality and geographic spread. An area where interdisciplinary collaboration is mutually beneficial, and essential in order to gain a better understanding of the interactions between climatic change, pathogen dissemination and livestock productivity is between ‘fundamental’ or ‘practical’ livestock researchers and modellers. To facilitate this collaboration, there needs to be a dialogue between both parties on the data depth, quality and format required to populate different models to ensure relevant and appropriate outputs. An example of where this type of collaboration has been used is work using an Intergovernmental Panel on Climate Change (IPCC)-compliant model (CPLANv2) to calculate greenhouse gases (GHG) associated with fattening lambs over five consecutive grazing seasons. The results demonstrated that effective control of sub-clinical/clinical parasitic gastroenteritis resulted in a ~10% reduction in GHG emissions/kg live weight gain (Kenyon et al., 2013). |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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MA @ admin @ |
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5073 |
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Bartley, D. |
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Identification of datasets on climate change in relation to livestock productivity (production and fitness traits) and livestock infectious disease |
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2013 |
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FACCE MACSUR Reports |
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1 |
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D-L1.1 |
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Datasets from Germany and the United Kingdom containing information on geographic (European Union 27 countries), climatic, meteorological, host and infectious agents’ parameters (figure 2) have been completed and are now available for preliminary analysis relating to data quality and consistency. Data set information will continue to be added over the next 12 months. No Label |
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MA @ admin @ |
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2255 |
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Bartley, D.J.; Skuce, P.J.; Zadoks, R.N.; MacLeod, M. |
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Title |
Endemic sheep and cattle diseases and greenhouse gas emissions |
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2016 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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7 |
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03 |
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253-255 |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
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4865 |
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Kipling, P.; Saetnan, E.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T.; van den Pol-van Dasselaar, A. |
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Modelling livestock and grassland systems under climate change |
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2014 |
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25th EGF General Meeting on “EGF at 50: The Future of European Grasslands”. - Grassland Science in Europe 19. Aberystwyth, Wales : EGF, 2014 - p. 61 - 74., 2014-09-07 to 2014-09-11 |
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MA @ admin @ |
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2535 |
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Kipling, P.; Saetnan, R.; van den Pol-van Dasselaar, A.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T. |
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Modelling interactions between climate and livestock pathogen transmission, Pirbright Institute, UK |
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2014 |
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Workshop: Modelling interactions between climate and livestock pathogen transmission, 2014-01-22 to 2014-01-22 |
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MA @ admin @ |
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2534 |
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