This study has been produced with the overall goal to document and analyse exisiting best practices in the field of RWHI management in sub-Saharan Africa, with a special focus on Ethiopia, Kenya, Mozambique and Zimbabwe. This is meant to determine the suitability of RWHI management under multivariate biophysical and socioeconomic conditions. The best practices include specific information and know-how on the performance, cost-efficiency and impacts of RWHI technologies.
These recommendations are a compilation of 2 regional studies at sub-Saharan Africa level which focused on research and technology transfer in the field of rainwater harvesting irrigatio nmanagement on one hand (section 3), and effective policy recommendations on the use of rainwater for off-season small-scale irrigation on the other (section 4). The regional studies upon which this transnational study is based come from the analysis of national studies in Ethiopia, Kenya, Mozambique and Zimbabwe.
These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.
These training materials have been produced to foster the capacity of key members of local communities to practically implement RWHI systems in a cost-efficient manner. The specific target group of these capacity building materials are local community members who are directly involved in the replication and scale-up of RWHI technologies and practices, i.e.
Farm input subsidies are often criticised on economic and ecological grounds. The promotion of natural resource management (NRM) technologies is widely seen as more sustainable to increase agricultural productivity and food security. Relatively little is known about how input subsidies affect farmers’ decisions to adopt NRM technologies. There are concerns of incompatibility, because NRM technologies are one strategy to reduce the use of external inputs in intensive production systems.
Research and the dissemination of evidence-based guidelines for best practice in crop production are fundamental for the protection of our crop yields against biotic and abiotic threats, and for meeting ambitious food production targets by 2050.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
This paper critically discusses the modification and application of one particular participatory approach to agricultural systems analysis (Rapid Appraisal of Agricultural Innovation Systems [RAAIS]) to agricultural adaptation in Southeast Kazakhstan. We consider the overall effectiveness of the method as a research tool, practical issues in the implementation of workshops, definition of and selection of participant groups, as well as the questions of participation and empowerment within the workshops themselves.
Increasingly, value chain approaches are integrated with multi-stakeholder processes to facilitate inclusive innovation and value chain upgrading of smallholders. This pathway to smallholder integration into agri-food markets has received limited analysis. This article analyses this integration through a case study of an ongoing smallholder dairy development programme in Tanzania.
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).