Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.

This book highlights the important links between agriculture and nutrition, both direct and indirect, both theoretical and practical. It explores these relationships through various frameworks, such as value chains, programmes and policies, as well as through diverse perspectives, such as gender. It assesses the impacts of various agricultural interventions and policies on nutrition and profiles the up-and-down journeys of countries such as Bangladesh, China, Ethiopia, India, and Malawi in integrating nutrition into agricultural policies and programmes.

This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments.

Many of the world’s food-insecure and undernourished people are smallholder farmers in developing countries. This is especially true in Africa. There is an urgent need to make smallholder agriculture and food systems more nutrition-sensitive. African farm households are known to consume a sizeable part of what they produce at home. Less is known about how much subsistence agriculture actually contributes to household diets, and how this contribution changes seasonally. We use representative data from rural Ethiopia covering every month of one full year to address this knowledge gap.

Enhancing the diversity of agricultural production systems is increasingly recognized as a potential

means to sustainably provide diversified food for rural communities in developing countries, hence

ensuring their nutritional security. However, empirical evidences connecting farm production

diversity and farm-households’ dietary diversity are scarce. Using comprehensive datasets of

market-oriented smallholder farm households from Indonesia and Kenya, and subsistence farmers

The 2021 Global Report on Food Crises (GRFC 2021) highlights the remarkably high severity and numbers of people in Crisis or worse (IPC/CH Phase 3 or above) or equivalent in 55 countries/territories, driven by persistent conflict, pre-existing and COVID-19-related economic shocks, and weather extremes. The number identified in the 2021 edition is the highest in the report’s five-year existence. The report is produced by the Global Network against Food Crises (which includes WFP), an international alliance working to address the root causes of extreme hunger.

This brief explores the evidence on the relationships between food aid transfers and investments in climate adaptive agriculture using data from Ethiopia, Malawi and United Republic of Tanzania. Four climate adaptive agricultural investments are considered, namely: adoption of cereal-legume intercropping, use of organic fertilizers such as manure and compost, construction of soil and water conservation structures in fields, and investments in livestock diversification.

Ethiopia is a home for diverse livestock including small ruminants and has the largest population of livestock in Africa. Livestock is kept for export earnings, food security, economic growth, poverty reduction and employment opportunities. Small ruminants are an important resource for livelihood and food security improvement serving as sources of food, income, risk mitigation, property security, monetary saving, investment, and providing other social and cultural benefits.

Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.