This study examines the contributions of IFPRI over the last 10 years to policy development, training, and capacity-strengthening activities with Malawi, focused particularly on addressing the chronic food insecurity and malnutrition that has prevailed for the last 60 years.The paper is divided into five sections.
Agricultural development interventions tend to favour men. Women do most of the work and receive fewer benefits. A starting point is to assess gender capacities to give momentum to the implementation of strategic interventions responding to the needs of both men and women. The gender capacity assessment tool is participatory; the process can be seen as a gender sensitization activity for partners; it helps to generate useful data for M&E of gender capacity development interventions; It provides the opportunity to design a strategic gender capacity development intervention.
Science and technology (S&T) are major contributors to food security, poverty reduction, and economic growth, as has been proven in Asia since the early-1970s through the Green Revolution in agriculture. Continuing to secure such gains, however, is becoming an increasingly complex undertaking. More than ever, quantitative data are vital for measuring, monitoring, and benchmarking the performance of agricultural S&T systems, including their inputs and outcomes.
National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.
Innovation platforms are widely used in agricultural research to connect different stakeholders to achieve common goals. This brief deals with the gender dimension in innovation platform and is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.