These notes summarise reflections on local innovation and participatory innovation development that took place within the PROLINNOVA International Support Team (IST), based on observations and discussions with network partners during advisory visits and international workshops.

Ghana’s cocoa production belt also serves as the main forests repository of the country. Cocoa farm- ing is both a direct and indirect driver of deforesta- tion in Ghana (UNEP, 2008). This implies that critical interventions are needed to deal with deforestation emanating from cocoa production.

Despite myriad challenges, Kenya has emerged in recent years as one of Africa’s frontier economies, with headline growth in the most recent decade propelling the country toward middle-income status. Less well understood is how risk dynamics associated with production, markets, and policy adversely impact sector performance, in terms of both influencing ex ante decision making among farmers, traders, and other sector stakeholders and causing ex post losses to crops, livestock, and incomes - destabilizing livelihoods and jeopardizing the country’s food security.

Disasters are increasing worldwide, with more devastating effects than ever before. While the absolute number of disasters around the world has almost doubled since the 1980s, the average number of natural disasters in Middle East and North Africa (MNA) has almost tripled over the same period of time. In the MNA, the interplay of natural disasters, rapid urbanization, water scarcity, and climate change has emerged as a serious challenge for policy and planning.

Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.

Agriculture is among the most risk-prone sectors in the economies of Central Asia. Production shocks from weather, pests and diseases and adverse movements in agricultural product and input prices not only impact farmers and agri-business firms, but can also strain government finances. Some of these risks are small and localized and can be managed by producers. Others are the result of more severe, exogenous shocks outside agriculture that require a broader response.

The purpose of this paper is to summarize the challenges and the practical successes that a selected number of countries are experiencing in moving towards 'climate-smart' agriculture while also meeting the food requirements of a growing population, broader economic development and green growth objectives. It complements papers prepared in 2010 on technologies and policy instruments, research, and farmers' perspectives.

Precision agriculture (PA) is growing considerably in Brazil. However, there is a lack of information regarding to PA adoption and use in the country. This study sought to: (i) investigate the perception of growers and service dealership about PA technologies; (ii) identify constraints to PA adoption; (iii) obtain information that might be useful to motivate producers and agronomists to use PA technologies in the crop production systems.

Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?

The goal of this tool is to help facilitators examine the roles that women and men play in an innovation partnership and to better integrate their specific needs and priorities in the interventions planned for the innovation partnership. Gender analysis of the innovation partnership can also be done throughout project implementation to monitor how men and women are integrated and benefit from the project and to reduce the gender gaps.