Although Sub-Saharan Africa has some of the worst nutrition indicators in the world, nutrition remains a low priority on the policy agendas of many African governments. This despite the fact that proven interventions are known and available and that investment in them is considered a cost-effective strategy for poverty reduction. This case study is one in a series seeking to understand (1) what keeps African governments from committing fully to reducing malnutrition, and (2) what is required for full commitment.

The DURAS Project, which ran from 2004 to 2008, established a truly pioneering means of integrating innovation from science with that from communities themselves. At the heart of DURAS has been its innovative competitive grants system. Following an original selection and evaluation process that placed a premium on multi-stakeholder partnerships, 12 projects were funded in Africa and Asia over a period of three years, each involving an array of disciplines and partners.

This Policy Memorandum provides policy advice to the government of Liberia (GOL) in an effort to mainstream gender issues in policies, programs, and projects supporting agricultural production and value-chain development. It is organized as follows. Section I reviews women's roles in Liberian agriculture and agricultural value chains, drawing on a variety of data sources, including the 2007 Core Welfare Indicator Questionnaire Survey (CWIQ) and the two rounds of the Comprehensive Food Security and Nutrition Survey (CFSNS, 2006 and 2008).

African farming systems are highly heterogeneous: between agroecological and socioeconomic environments, in the wide variability in farmers’ resource endowments and in farm management. This means that single solutions (or ‘silver bullets’) for improving farm productivity do not exist. Yet to date few approaches to understand constraints and explore options for change have tackled the bewildering complexity of African farming systems. In this paper we describe the Nutrient Use in Animal and Cropping systems – Efficiencies and Scales (NUANCES) framework.