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Trnka, M.; Hlavinka, P.; Wimmerová, M.; Pohanková, E.; Rötter, R.; Olesen, J.E.; Kersebaum, K.-C.; Semenov, M. |
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Paper on model responses to selected adverse weather conditions |
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2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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C1.2-D |
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Based on the Trnka et al. (2015) study that indicated that heat and drought will be the most important stress factors for most of the European what area the further effort focused on these two extremes. The crop model HERMES has been tested for its ability to replicate correctly drought stress, heat stress and combination of both stresses. While data on the drought stress were available for both field and growth chambers, heat stress and its combination with heat stress was available only for the growth chambers. The modified version of the HERMES crop model was developed by Dr. Kersebaum and is being currently prepared for the journal paper publication. |
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CropM |
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MA @ admin @ |
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4954 |
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Trnka, M. |
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Guidelines on extending on-going experiments with additional measurements to support crop modelling – Field experimental protocol |
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2013 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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2 |
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D-C2.3 |
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The input data necessary for crop model simulations and data for their calibration/validation (and thus requirements for observations and measurements in suitable experiments) are listed. A list of possible seasonal observations/measurements that could be carried out in existing experiments to increase their potential for crop modelling studies is also provided. The general methodology suitable to be used is outlined, but in all cases the selected method depends strongly on the experimental set-up and facilities/instruments at the disposal of the experimentalists. Such methodologies needs to be documented and preferably benchmarked against standard methods. No Label |
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MA @ admin @ |
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2240 |
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Topp, K.; Eory, V.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; Del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.; Lauwers, L.; Özkan Gülzari, Ş.; Rolinski, S.; Ruiz Ramos, M.; Sandars, D.L.; Sándor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Weindl, I.; Kipling, R.P. |
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Modelling climate change adaptation in European agriculture: Definitions and Current Modelling |
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2017 |
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FACCE MACSUR Reports |
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10 |
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L2.3.2-D |
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Confidential content, in preparation for a peer-reviewed publication. |
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LiveM |
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MA @ admin @ |
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4959 |
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Topp, K. |
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Synergies and trade-offs of adaptation and mitigation on dairy farms |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-67 |
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Livestock farms with ruminants have large and diverse fluxes of greenhouse gases, but are also affected in diverse ways by climate change. This calls for assessments of possible options to mitigate GHG and to adapt to changing climate, primarily at the farm-scale. This study focuses on the effects of adaptation and mitigation options, and their synergies and trade-offs on GHG emissions and production on European dairy farms. The impact of climate change on livestock production systems will vary with livestock type, system design and local conditions. These effects are direct through impacts on animal performance and indirect through effects on crop yield and quality. These impacts demand adaptations of farming systems to cope with the changed climate. Adaptation can be categorized in three main categories: feed, livestock and water management. Several of these adaptation options have impact on greenhouse gas emissions and thus on the mitigation potential. There is therefore need to align measures for reducing greenhouse gas emissions with the likely adaptations to be adopted. Based on expert opinion, assessments have been performed on which adaptation and mitigation measures would likely be adopted for real on maritime dairy farms located in Ireland and the Netherlands. 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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2182 |
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Topp, C. |
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Pesticide management in Scottish spring barley – insights from sowing dates |
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2015 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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5 |
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Sp5-68 |
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Better management of pesticides is a potentially important strategy for reducing environmental impact while maintaining yields. Pesticide use is influenced by several drivers, including sowing date, which can directly impact disease burden. Analysis of sowing dates for spring barley was the first stage of this project, which aims to provide insight into areas of farm management which can be optimised to reduce environmental impact. Sowing dates were taken from the Adopt a Crop database, which contains data from 1983 onwards for commercial farms across Scotland. Work was carried out at three levels: national, to provide an overall picture of historical patterns; regional, to highlight differences within Scotland; and case study, to determine whether the national trend was visible in a single region. A general trend towards later sowing of spring barley in Scotland is visible – yet, this pattern is less pronounced in certain regions. Future work must therefore consider what factors have lead to this shift, to more fully understand interactions between sowing date and the environment. 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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2183 |
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