5,382 research outputs found

    A Multi-Criteria and Dynamic Sustainability Assessment of Crop Rotation Alternatives

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    With the food security challenge faced by nations globally, agriculture sustainability has been a significant consideration for concerned agencies. Sustainability assessments are significant tools in providing support to stakeholders in their crop production planning. Agricultural sustainability assessment, however, is complex and it involves numerous criteria that can be conflicting. Limitations on crop rotation sustainability assessment methods include: non-dynamic assessment; lack of regard to cover crops and to the individual crop production preferences of farmers; and focused only on single-year and single-crop rotation. We sought to address these limitations by developing a multi-criteria and dynamic sustainability assessment model that considers the economic and environmental impact of a multi-year and multi-crop rotation. In this study, we investigated the integration of a crop simulation model, multi-criteria decision analysis and an ontology-based cover crop model as an approach. The integration allows dynamic assessment of multi-crop and multi-year crop rotation by having the crop model simulate the potential crop production of alternatives based on the provided model parameters, weather, and agromanagement data. The crop rotation and cover crop effects and benefits are also accounted for by using the asserted and inferred knowledge of the cover crop ontology. Finally, a multi-criteria assessment of the crop rotation alternatives is possible by the integration of analytical hierarchy process, a multi-criteria decision analysis method

    A Case Study on the Application of the Analytic Hierarchy Process (AHP) to Assess Agri-Environmental Measures of the Rural Development Programme (RDP 2007–2013) in Slovenia

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    The reform of the Common Agricultural Policy (CAP) in 2003 focused mainly on the economic and environmental challenges. The Rural Development Programme 2007–2013, hereafter RDP, being implemented in Slovenia is therefore aiming at promoting proposed activities that help to improve the rural areas. Agri-environmental measures (AEMs) encourage farmers to make an environmental commitment for a period of at least 5 years aiming at preserving the environment and maintaining the countryside. Because of practising environmental friendly production methods, the farmers might be encountered with more costs and reduction of yield. Therefore, payments are made as compensation. Concentrating only on one of the four pillars of the RDP, “Improvement of environment and the countryside”, this paper attempts to assess the Slovenian agri-environmental measures with the help of the multicriteria decision analysis, that is, analytic hierarchy process (AHP) and its supporting software Expert Choice™. In the presented case study, three main criteria and their attributes were determined. With the help of experts (questionnaires), data were collected, which made the assessment possible. The results show that organic fruit, vine and horticultural production are seen as the most important AEM. This is specific for the Republic of Slovenia because of its large amount of area designated as least favoured areas (LFA) that are not suitable for arable farming

    Exploring the feasibility of bioenergy crop production with a multi-analytical approach: a case study from Kentucky

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    Bioenergy crops can provide a reliable and adequate supply of biomass feedstocks to support the bioenergy industry. However, commercial scale production of bioenergy crops has not been established to meet the increasing energy demand for the bioenergy industry. Thus, there is a need to explore the full potential of bioenergy crop production to support energy generation. This dissertation examined the feasibility of bioenergy crop production in the southern United States with a case study from Kentucky. For the feasibility of bioenergy crop production, I (1) analyzed trade-offs among the major components of bioenergy crop production, (2) assessed landowners’ willingness to promote bioenergy crops and, (3) evaluated potential bioenergy policies and prioritized them based on their effectiveness to support the promotion of sustainable bioenergy production. I used multiple approaches including a multi-objective optimization model, a questionnaire survey, and an analytic hierarchy process (AHP) model, to examine the feasibility of bioenergy production. The trade-off analysis highlighted potential opportunities and risks in bioenergy production. Even though there were suitable lands for growing bioenergy crops, the production was not economically beneficial. Further, higher bioenergy production generated concerns for negative impact on the environment. Thus, results from the trade-off analysis showed a need to find the best balance among the trade-offs for better production decisions. The landowner survey indicated that they were relatively more willing to grow bioenergy crops themselves than rent their land to others. Current land management practices and socio-economic and environmental factors affected their land use decisions about bioenergy crop production. Finally, my policy analysis highlighted that policies that incorporate environmental conservation are key to establishing bioenergy crops. In addition, consideration should also be given to efficient technological support while designing specific policy to promote bioenergy production. Overall, results from the whole study can be useful to design effective policies, develop outreach activities, and support technological investments that would promote bioenergy crop production in ways that are economically efficient as well as compatible with social, and environmental factors

    Assessing the role of the research in the transition to organic farming by using the Actor Network Theory: lessons from two case studies in France and Bulgaria

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    This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping. The paper shows the limitations of classical approaches in studying innovations since they underestimate the role of heterogeneous actors, their status, and how they interact with each other. We argue that focusing on actors’ interactions helps to better understand the so-called “uncertainties” and “turning points” in the innovation development, as well as to interpret them as natural elements. Moreover we argue that challenges to tackle should be problematized to increase the success of research programs. We also stress the importance of opinion leaders during the implementation and diffusion phase of the innovation

    Irrigation system performance assessment and diagnosis

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    Performance evaluation / Irrigation programs / Irrigation management / Irrigation systems / Case studies / Hydraulics / Management / Environmental effects / Asia / Africa / South America

    Multi-level processes of integration and disintegration. Proceedings of the Third Green Week Scientific Conference

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    CONTENTS: ACKNOWLEDGEMENTS ... I; ABOUT THE MACE PROJECT... III; PLENARY PRESENTATION ... 1; Landscape agroecology: Managing interactions between agriculture, nature and socio-economy... 3, Tommy Dalgaard; DEVELOPMENT CHALLENGES IN RURAL AREAS ... 13; Patterns of rural development in mountainous areas of the Mediterranean: Between innovation and tradition ... 15, Angela Guarino; Agro ecology: Hypothesis for a sustainable local development?... 22, Silvia Doneddu; The farmers' early retirement scheme as an instrument of structural changes in the rural areas after Poland's accession to the EU ... 29, Michal Dudek; FOOD MARKETS AND AGRICULTURAL MARKETING... 37; G/Local brand challenges in the Austrian agricultural food market ... 39, Bernadette Frech, Ana Azevedo, Hildegard Liebl; Willingness of food industry companies to co-finance collective agricultural marketing actions... 48, Anikó Tóth, Csaba Forgács; MULTIFUNCTIONAL AGRICULTURE ... 57; The role of multifunctional agriculture for rural development in Bulgaria... 59, Violeta Dirimanova; A methodological review of multifunctional agriculture ... 66, Concettina Guarino, Francesco Di Iacovo; A spatially explicit decision-making support tool for integral rural development ... 75, Catherine Pfeifer, Jetse Stoorvogel; AGRICULTURAL EXTENSION AND NETWORKS IN RURAL AREAS... 89; Feasibility and implementation strategies of dairy extension in Ulaanbaatar/Mongolia... 91, Baast Erdenebolor, Volker Hoffmann; The relevance of social networks for the implementation of the LEADER programme in Romania ... 99, Doris Marquardt, Gertrud Buchenrieder, Judith Möllers; Quality assessment problems of agricultural advisory centres' services... 113, Gunta Grinberga; INTEGRATION PROCESSES INTO INTERNATIONAL MARKETS... 125; Competition or market power in the Ukrainian meat supply chain? ... 127, Andriy Matyukha, Oleksandr Perekhozhuk; Integration of the Hungarian cereal market into EU 15 markets ... 138, Attila Jambor; Regional specialisation of agriculture and competitive advantages of East-European countries... 146, Oleksandr Zhemoyda, Stephan J. Goetz; GOVERNANCE AND USE OF NATURAL RESOURCES ... 155; An analysis of biodiversity governance in the Kiskunság National Park according to the GoverNat Framework... 157, Cordula Mertens, Eszter Kelemen, György Pataki; Hierarchical network modelling and multicriteria analysis for agri-environmental measures in Poland ... 168, Jadwiga Ziolkowska; Assessing rural livelihood development strategies combining socioeconomic and spatial methodologies ... 179, K.C. Krishna Bahadur; SUSTAINABLE AGRICULTURAL LAND USE... 189; Linking economic and energy modelling with environmental assessment when modelling the on-farm implementation of Anaerobic Digestion ... 191, Andreas Muskolus, Andrew M. Salter, Philip J. Jones; Phytoremediation of a heavy metal-contaminated agricultural area combined with energy production. Multifunctional use of energy maize, rapeseed and short rotation crops in the Campine (BE)... 200, Nele Witters, Stijn Van Slycken, Erik Meers, Kristin Adriaensen, Linda Meiresonne, Filip Tack, Theo Thewys, Jaco Vangronsveld --

    Training materials for different categories of users

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    Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use, Production Economics, Teaching/Communication/Extension/Profession,

    Performance assessment of heterogeneous irrigation schemes in India

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    Most irrigation schemes in India are performing poorly as seen from the average irrigation efficiency in the range of 30-40% for these projects. Hence it is necessary to study the performance assessment of these schemes to investigate the reasons and improve the performance subsequently. There are different kinds of performance measures that may vary spatially over the irrigation scheme. Hence it is necessary to use a framework for finding out the final performance index (FPI) that combines important performance measures. Hence this study was undertaken. Mula Irrigation Scheme in Ahmednagar District of Maharashtra State, India was identified after verifying that most of the needed data was available. The six performance indicators viz. Productivity, Equity, Adequacy Reliability, Flexibility and Sustainability were identified as the important one for obtaining the information on the relative preference from the farmers and first three were considered for obtaining the allocation plans. The performance of different irrigation schemes is assessed with the help of Area and Water Allocation Model (AWAM). The performance measures viz. productivity, equity, adequacy and excess were obtained by formulating the irrigation strategies based on 1. Irrigation amount: Full depth irrigation (FDI), Fixed depth irrigation (FxDI) and Variable depth irrigation (VDI), 2. Irrigation frequency (14 days, 21 days, 28 days and 35 days), 3. Water distribution: Free water distribution (FWD), Equitable distribution of seasonal water (EDSW) and Equitable distribution of intra-seasonal water (EDIW) and 4. Cropping distribution (Free cropping distribution and Fixed cropping distribution). The yield response of crops to different criteria such as soil, irrigation interval, irrigation strategy and irrigation depth, were analysed. It is found for wheat grown on all considered soils, the variable irrigation depth strategy provided better performance of irrigation scheme in terms of productivity and results in higher irrigation water use efficiency. It is concluded though that the application of water according to the variable irrigation depth strategy is operationally and from a management point of view not convenient and in current situation may not be adoptable. Though the fixed depth irrigation strategy is found to be less productive based on this research for Mula irrigation scheme, it is more convenient for operation compared to other strategies as it does not involve adoption of separate schedules for different crops. In general the area and net benefit productivity values are higher in fixed depth irrigation followed by variable depth and then full depth. The productivity values are higher in case of free cropping distribution compared to fixed cropping distribution. The equitable water distribution resulted in lower productivity compared to free water distribution. No specific trend of equity with the irrigation interval was found. Equity values are higher in case of fixed depth of irrigation compared to full depth. The equity values are higher in case of fixed cropping distribution compared to free cropping. The equity values are as expected higher or unity for equitable water distribution compared to free water distribution. The adequacy values are higher in full depth of irrigation followed by variable depth irrigation and fixed depth irrigation. It is observed that the productivity and equity are almost inversely proportional to each other. Hence the hypothesis that productivity and equity conflicts with each other holds true. Further, Analytic Hierarchy Process (AHP) was used to assign weights of different performance measures by determining the farmers relative preference of different performance measures. The average weights of different performance measures (monetary productivity, equity in water distribution and adequacy) were obtained for farmers from different reaches from the weights obtained from AHP analysis, and considerable differences were found between the weights for the head, middle and tail reaches. The values of the performance indicators were obtained from the simulation-optimization modeling (AWAM model). The different indicators were combined into a final overall performance indicator (FPI) of irrigation management in an irrigation scheme from the farmers perspective. The FPI was computed for head, middle and tail reach farmers using the weights obtained from AHP by compromise programming. It is interesting to note that the strategies that best met the farmers preferences (highest FPI), were same for middle reach and tail reach farmers however it is different for head reach. It is also interesting to note that the preferences of the head, middle and tail reach farmers, irrespective of their relative location in irrigation scheme, were best met by strategies which include the equitable distribution of water. For middle and tail reach farmers, full depth irrigation would give the highest FPI, while for head reach farmers optimised fixed depth would be best. It is also seen that for head and middle reach farmers a strategy with fixed cropping distribution and free water distribution would be worst for meeting the preferences of head and middle reach farmers while for tail reach farmers a strategy with free water and free cropping distribution would be worst. The mean values of the weights for head, middle and tail reach farmers were Productivity = 0.33, Equity = 0.31 and Adequacy = 0.36. With these weights, the highest FPI (0.85) was obtained with an irrigation strategy of Full depth irrigation with free cropping and annual equity at irrigation interval of 35 days in winter and 28 days in summer . Considering the different depth of irrigations (FxDI, VDI and FDI) the VDI and FDI are practically difficult to execute due to the data required for calculations and operational requirements of the irrigation canals. Using FxDI, a strategy with high FPI (0.83) was identified as the best feasible irrigation strategy to implement for the entire irrigation scheme: Fixed depth irrigation with free cropping and annual equity at irrigation interval of 35 days in winter and 28 days in summer . It was found that this best feasible irrigation strategy for the entire scheme was not sensitive to the weights assigned to the performance measures
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