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Kipling, R.; Özkan, S. |
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Communicating Modelling |
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Conference Article |
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2014 |
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LiveM |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27 |
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MA @ admin @ |
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2532 |
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Hutchings, N.; Sanders, D.; Özkan, S.; De, H., Michel |
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Title |
Farm model comparison |
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2014 |
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LiveM |
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International Livestock Modelling and Research Colloquium, Bilbao, Spain, 2014-10-14 to 2014-10-16 |
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MA @ admin @ |
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2497 |
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Author |
Özkan, S.; Ahmadi, B.V.; Bonesmo, H.S.; Østerås, O.; Stott, A.; Harstad, O.M. |
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Title |
Impact of animal health on greenhouse gas emissions in Norwegian dairying |
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Conference Article |
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Year |
2014 |
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LiveM |
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International Livestock Modelling and Research Colloquium, Bilbao, Spain, 2014-10-14 to 2014-10-16 |
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no |
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MA @ admin @ |
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2694 |
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Harstad, O.M.; Bonesmo, H.S.; Özkan, S. |
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Title |
MACSUR – utfordringer for husdyrproduksjon i et framtidig klima (MACSUR- Challenges for livestock production in a future climate) |
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2014 |
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LiveM |
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Bioforsk-konferansen 2014, Hamar Norway, 2014-02-01 to 2014-02-04 |
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no |
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MA @ admin @ |
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2466 |
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Author |
Özkan, S. |
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Title |
The greenhouse gas emissions intensity of herds with mastitis |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-42 |
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Abstract |
Mastitis is an inflammatory disease of milking cows, causing production and economic losses in dairy farms. The main pathogens causing majority of the intramammary infections are Staphylococcus aureus, Streptococcus dysgalactiae, Escherichia coli and coagulase-negative Staphylococci. Here, we analysed the effect of mastitis on herd parameters such as milk yield, feed intake, replacement rate, gross margin and greenhouse gas emissions. The data were collected from the Norwegian Dairy Herd Recording System between 2010 and 2012. The farm data were recorded from 20 farms in Norway, based on health, fertility and breeding characteristics. SimHerd, a computer simulation model was used to estimate the impact of the observed levels of mastitis on herd parameters which were then fed into a whole farm model, HolosNor, to calculate the greenhouse gas emissions on the farm. The standard values provided in the SimHerd except for mastitis occurrence were applied in the scenario simulations. A further study is planned to parameterize each herd with specific herd characteristics in SimHerd so that herd specific estimates of the effect of mastitis on greenhouse gas emissions can be performed. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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MA @ admin @ |
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2157 |
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