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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 |
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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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2240 |
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Trnka, M.; Kersebaum, K.; Christian,; Olesen, J.E. |
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Description of the compiled experimental data available in the MACSUR CropM database |
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2015 |
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FACCE MACSUR Reports |
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6 |
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D-C2.1 |
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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) have been collected through out the project together with data for additional analysis of abiotic factors influencing yields. A list of possible dataset was collated in the first year of project however very few of the existing datasets were found usable for the crop model simulation as they fell short of the requirements defined in the part 2.3. However database has been populated as planned with the results of the ongoing MACSUR studies and will serve in the same way for the MACSUR 2 duration. No Label |
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2090 |
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Ahmadi, V. |
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Impacts of Common Agricultural Policy 2015 reforms on animal health and welfare of Scottish dairy herds |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-1 |
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The latest Common Agricultural Policy (CAP) 2015 reforms bring a substantial change in the way farm support is paid in Scotland where previous direct CAP payments were largely based on historical entitlements. Under the new payment scheme, three rates of payment are designated based on land uses and capabilities. As a result, it is anticipated that, average large dairy farms will lose out up to 32% of their farm net margins, while small dairy farms will lose out between 7-20% of their farm net margins. Such reductions of payment support may force dairy farmers to cut costs of production on farms especially livestock variable costs including labour costs and costs of prevention, control, treatment and management of livestock diseases and welfare conditions. This will have direct and indirect consequences on health and welfare of dairy cattle. This study aims to assess the impact of new support payments under CAP 2015 reforms on financial capabilities of dairy herds in tackling three conditions namely: infertility, mastitis and lameness. A detailed inventory of 42 commercial dairy farms in Scotland that contains both physical (i.e. farm area, nutrition and labour supply, etc.) and health data collected in 2013 and was used to parameterise an optimisation model. The model is a linear programme (LP) model which optimises farm net margin under limiting farm resources. The model also consists of feed demand and supply components that are used to determine monthly feed requirements for each of the animals on a farm as well as grass yield for pasture area of the land. The model is run for both ‘healthy’ and ‘diseased’ herds under previous and future CAP support payments. Details of the model and the dataset used as well as some results will be presented at the conference. 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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2273 |
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Tantari, A. |
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The role of CAP direct payment in the support and stabilisation of farm income: empirical evidences from a constant sample of Italian farms |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-66 |
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The main objective of CAP Direct payments (DP) has been to increase and stabilise farm income together with a large number of additional goals (Gardner, 1991). Despite its importance, there are limited empirical evidences on farm income variability over time at farm level apart Vrolijk and Poppe (2008) and Vrolijk, de Bont, van der Veen, and Poppe (2009). The analysis focuses of the following research questions:• What is the amount of the support provided by DP? How the income of Italian farms will be affected by reductions of DP levels?• What is the extent of farm income variability over time? Is it the same in all types of farms?• Where is this variability coming from?• Do CAP direct payments reduce farm income variability? How do DP affect it? Are DP targeted to stabilise the income of those farms facing larger income variability? The analysis has been developed on the individual farms belonging to the whole Italian sample of the EU FADN farms during all years of the decade 2003-2012. The variability of farm income (FI) is assessed by calculating variance and Coefficient of Variation (CV) over the 10 year period for each farm for each relevant income component. The role of DP on income stabilisation is assessed by means of variance decomposition by income sources (Burt and Finley, 1968; El Benni and Finger, 2013; Mishra and El-Osta, 2001).The presence of DP allows for a reduction of the variability of farm income: the variability of FI when DP are not accounted for is higher than that of the whole FI. Finally, DP seem to be not targeted to those farms facing the highest level of market income variability. These results support the hypothesis that there is a potentially large room for better design the DP policy to reduce income variability. 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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2181 |
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Köchy, M.; Banse, M. |
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Kickoff Workshop, Session on Final Products |
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2013 |
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FACCE MACSUR Reports |
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1 |
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M-H3.1.1 |
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The major final products will be a congress aimed at political stakeholders in May 2015 in Brussels with a provisional date of 6./7. May 2015, a scientific conference at the end of January 2015, and a book/special issue summarizing the research results. Most research results should be available by the end of November for the first draft of the book/special issue. No Label |
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MA @ admin @ |
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2249 |
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