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Research project (§ 26 & § 27)
Duration : 2018-01-01 - 2018-12-31

Food composition data are key for food and nutrition security. Knowing what people eat and which nutrients the consumed foods contain helps assessing the nutritional status and improving diet quality and health. Food composition data are required for dietary intake assessment, development of nutrient requirements, nutrition education and diet formulations. Moreover, these data are essential for food labeling and can play a fundamental role in diversifying our food and nutrient supply e.g. in breeding/research. In order to obtain reliable food composition data, standards and guidelines are important. The Food and Agriculture Organization of the United Nations (FAO) and the Centre for Development Research (CDR) of the University of Natural Resources and Life Sciences (BOKU) have agreed to provide academic services on food composition issues: Scientific support of the “Development of the FAO/INFOODS Compilation Guidelines RR20402: “Methodologies, norms, standards, definitions and tools for the collection, management, aggregation and analysis of data formulated and disseminated”. Food Composition Compilation Guidelines will be developed in collaboration with international experts. The objectives are to undertake a review on food composition compilation issues and to identify information gaps; to form work packages; to establish and coordinate working groups of international experts to address these tasks.
Research project (§ 26 & § 27)
Duration : 2017-02-10 - 2017-05-09

Although efforts that support a transition to sustainable food systems are gaining momentum, there is a lack of systematic and consolidated evidence of these practices. Accordingly, policy makers, funders and advocates are currently missing a consistent framework that can demonstrate the advantages from a lasting transition to sustainable food systems. In order to support decision makers in their deliberations on sustainable food systems, there is need to first understand how such systems could be established. Therefore, existing initiatives on the ground need to be explored. From this, an overarching evidence base in the form of a concise framework can be developed as reference for decision makers.
Research project (§ 26 & § 27)
Duration : 2016-07-01 - 2019-06-30

Ethiopian farmers are increasingly becoming interested in adopting new and improved agricultural technologies. The government extension system is also pushing for wide adoption of some of these technologies. However, current adoption levels of these technologies is quite low. The major explanations for the low adoption levels are: 1) Lack or low level of awareness about the technologies among farmers. Having the largest concentration of extension agents in Africa (about 16 per 10 farmers), number of contacts between farmers and extension agents does not seem to be effective in promoting adoption of improved agricultural technologies in Ethiopia. 2) Many farmers cannot afford to cover the costs of adopting the new technologies, especially as a package. Therefore, most farmers either don’t adopt any of the technologies or at best adopt only few components of the technology package(s). Therefore, the overall goal of the proposed project is to improve the livelihoods of rural communities and national food security in Ethiopia through wider adoption of more sustainable and productive agricultural technologies and farming practices that also help in enhancing resilience to climate change. The specific objectives of the project are: 1) to develop effective and inclusive extension service delivery system(s); 2) developing and testing different extension and change-agent profiles, including relevant capacities and skills for process facilitation particularly for multi-stakeholder processes; and 3) Designing innovative technology packages including user-friendly, inclusive and low-risk credit delivery systems. The project aims at realizing these objectives by identifying and testing, through inclusive and gender-sensitive research, options that can alleviate the information and liquidity constraints and promote wider adoption of improved agricultural technologies and NRM practices.

Supervised Theses and Dissertations