The nature of the issues around which Agricultural Research for Development (ARD) partnerships are formed requires a different way of conceptualizing and thinking to that commonly found in many agricultural professionals. This brief clarifies the components of a system of interest to an ARD partnership.
Networks and organizations need to find ways to be more effective in pursuing their objectives and thus seek to “learn” to be able to respond, innovate and adapt to complex, changing social and environmental conditions, thus bringing about social change. An essential capacity for ARD (Agricultural Research for Development) partnerships is therefore the ability to reflect and learn. Learning is not simply about increasing knowledge and skills or changing attitudes; it is about making sense of complexity to act more effectively.
This brief illustrates the different forms of knowledge, and the ways to create and manage it.
The French Ministry of Agriculture has called for agro-ecological transitions that reconcile farming and the environment. In this review, we examine the transformations of farmers and AKIS (Agriculture Knowledge Innovation System) actors’ work during agro-ecological transitions, and argue that the content, organization, and aim of farmers’ work are influenced by agricultural training, agricultural development, and discussions between peers, research, and regulations. Our main findings concern those transformations.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
Several posters have been created on the occasion of the 5th TAP Partners Assembly (Laos, 20-22 September 2017) to show recent activities and achievements in the eight pilot countries of the CDAIS project.
The objective of this report is to identify and evaluate best practices in smallholder private irrigation in West Africa. The report is based on a comparative assessment of the smallholder private irrigation subsector in Burkina Faso, Mali, Niger, and Nigeria, which included a literature review, field visits, and workshops at both national and regional levels. The task lists for the assessment is provided in annex one. This report first presents the main features of smallholder irrigation and the development projects that have promoted its use in West Africa in chapter two.
Over the past 25 years, Uganda has experienced sustained economic growth, supported by a prudent macroeconomic framework and propelled by consistent policy reforms. Annual Gross Domestic Product (GDP) growth averaged 7.4 percent in the 2000s, compared with 6.5 in the 1990s. Economic growth has enabled substantial poverty reduction, with the proportion of people living in poverty more than halving from 56 percent in the 1992 to 23.3 percent in 2009. However, welfare improvements have not been shared equally; there is increasing urban rural inequality and inequality between regions.
This report highlights the great potential of the agribusiness sector in Africa by drawing on experience in Africa as well as other regions. The evidence demonstrates that good policies, a conducive business environment, and strategic support from governments can help agribusiness reach its potential. Africa is now at a crossroads, from which it can take concrete steps to realize its potential or continue to lose competitiveness, missing a major opportunity for increased growth, employment, and food security. The report pursues several lines of analysis.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.