This paper provides a retrospective look at a systems-oriented research program, on the increasing occurrence of parasitic weeds in rainfed rice in sub-Saharan Africa, to qualitatively assess merits and identify challenges of such approach. Was gained a broad contextual overview of the problem and different stakeholders' roles, which enabled identification of entry points for innovations in parasitic weed management

KIT and the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) published this joint publication in which farmers were put in the driver’s seat. Within the programme  ‘farmer empowerment for innovation in smallholder agriculture’ (FEISA) farmers were provided tools and skills to enhance collaboration with private enterprises, as well as service providers, in multi stakeholder ‘innovation triangles’ within value chains for the benefit of smallholder farmers.

This study identifies entry points for innovation for sustainable intensification of agricultural systems. An agricultural innovation systems approach is used to provide a holistic image of (relations between) constraints faced by different stakeholder groups, the dimensions and causes of these constraints, and intervention levels, timeframes and types of innovations needed. The authors aim at showing that constraints for sustainable intensification of agricultural systems are mainly of economic and institutional nature.

This document aims at capitalizing lessons drawn from the training experience of a consortium made up of various stakeholders involved in the potato seed sector in Burundi. At the initial stages of its formation, this consortium was supported by the PAEPARD programme, as part of the tender process defined above. The experience related here should provide lessons on the factors which encourage the formation of multi-stakeholder partnerships which are balanced and suited to the demand of producers.

Multi-stakeholder platforms (MSPs) are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their ‘capacity to innovate’ and contribute to the ‘scaling of innovations’. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC).

 This report describes issues presented and discussed at a workshop held in Rwanda from 6 - 8 September 2012, focused on strengthening capacity in agricultural innovation in post-conflict and protracted crisis (2PC) countries. It was the first workshop of its kind that attempted to bring participants from 2PC countries around the globe to rally around a common cause.

Starting with background information, the report presents a summary of the plenary presentations of the workshop, which includes a brief on the post-conflict and protracted crisis environment in the 15 participating countries (Rwanda, Democratic Republic of the Congo, Congo Brazzaville, Sierra Leone, Burundi, Ethiopia, Uganda, Central African Republic, Chad, Guinea Bissau, Guinea Conakry, Liberia, Afghanistan, and Tajikistan). Some countries like Afghanistan qualified all in one as conflict, post-conflict and protracted crisis country.

This is the first chapter of the book "Innovation platforms for agricultural development: Evaluating the mature innovation platforms landscape". It introduces the background, case study competition process, case study characterization and readers’ guide, and book outline. Characterization of the case studies includes their geographical spread, age and life stage of the platforms, and specific information on the multi-stakeholder processes, the content matter, platform support functions, and outcomes and impacts.

The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.