The term 'Integrated Agricultural Research for Development (IAR4D),' first coined in 2003, acknowledges the complexity of the agricultural system and the need to bring together not only different related research disciplines but also multiple actors (private sector, public sector, producer organisation and policymakers) to find joint solutions to the challenges of agricultural innovation. The book is produced in response traces the evolution of the concept back to its roots in an impressive range of theories and approaches from diverse disciplines, such as constructivism, participatory acti

This report make an analysis of Sorghum value chain in Uganda. Based on that, innovation opportunities in Uganda that can influence expansion of sorghum Value Chain and enhance socio-economic gains of all the actors are identified. Some of the identified opportunities among others include increasing farm level production through enacting supportive policy and providing support to organizations in seed production and distribution, introduction of small scale sorghum processing, and increasing their capacity as well as that of the existing processing entities

This report aims to analyse the value chain of Organic Pinneaples in Uganda and to identify innovation opportunities in order to increase the market share of the product

This presentation describes the process of the capacity needs assesment carried out by a consortium of organizations in Ethiopia, Nicaragua, Tanzania, Tunisia and Uganda. Starts describing the the methodology used for the assesment, then present the key finds and in the end gives some recommendations

This report brings the information about the capacity needs analysis carried out by CRP in five countries. Capacity development is a core enabling factor in the delivery of the 5 Livestock CRP flagships. One of the strategic capacity development actions for the Livestock CRP is to design evidence based capacity development interventions based on capacity needs analysis.

This report conducted a gender assessment exercise to evaluate if the current solutions/innovations are gender responsive or not. Three innovations were selected that are primarily focused towards Climate Smart Agriculture (CSA) and that had affordability and ease of use as key objectives. The gender assessment embraced a qualitative research approach. This choice was guided by the need to appreciate respondents’ understanding and experiences or perceptions of the different innovations that RAN has been nurturing and developing over the years

This report describes the work carried out by Institute of International Agriculture (IITA) and Olam in the Mt. Elgon region in Uganda to develop climate-smart agricultural (CSA) practices to help farmers to manage the specific effects of weather variability/climate change to that region and lay them out in a “Stepwise” pathway tailored to specific farmer segments to help them make smarter and more timely investment in resilience building practices.

This study sought to examine the gaps and draw lessons for effective Innovation platforms (IPs) formation using the case of the coffee IPs in the four districts of Luwero, Ntungamo, Bushenyi and Rakai in Uganda. Data were collected through key informant interviews with 32 actors of the coffee steering committees and from document review. Qualitative data analysis was conducted using content and thematic analysis

This study sought to explain how leadership mechanisms enabled the actors in coffee innovation platforms to achieve their expectations. Data was collected through key informant interviews with 26 actors of the coffee steering committees; three focus group discussions of 19 participants and document review. Analysis was done using content and thematic analysis.

Seasonal patterns in production and demand are common in many agricultural markets. Charting these patterns provides information that complements fundamental and technical analyses. It is in this spirit that this paper seeks to examine price seasonality in the catfish value chain in Uganda. The analysis draws on monthly prices taken from secondary source recorded data and uses moving average index to chart price patterns