Inadequate feed and nutrition are major constraints to livestock production in sub-Saharan Africa. National and international research agencies, including the International Livestock Research Institute (ILRI), have developed several feed production and utilisation technologies. However, adoption of these technologies has so far been low. Identification of the major socio-economic and policy factors influencing the adoption of improved feed technologies is required to help design policy and institutional interventions to improve adoption.
Social structure, especially in the form of social networks, affects the adoption of agricultural technologies. In light of an increasing focus on new demand-driven agricultural extension approaches that leverage social networks as an opportunity, too little is known about (a) which network characteristics matter? and (b) how do specific network characteristics matter? This paper investigates the impact of social networks in relation to smallholder dairy production technology adoption in Ethiopia.
Market opportunities are increasing at a rapid pace for livestock products, fuelled by rising incomes, globalisation and urbanisation, particularly in the developing world. At the same time, these opportunities bring increased complexity in the supply channels that market, distribute, organise and govern high-value products. This begs the questions on the ability of smallholder producers to contribute to this complex process.
Ethiopia has a diverse agro-ecology and sufficient surface and ground water resources, suitable for growing various temperate and tropical fruits. Although various tropical and temperate fruits are grown in the lowland/midland and highland agro-ecologies, the area coverage is very limited. For example, banana export increased from less than 5,000 tons in 1961 to 60,000 tons in 1972, but in 2003 declined to about 1,300 tons worth less than USD 350,000.
With irrigated vegetables development, interventions on the uses of improved inputs such as water lifting devices; varieties; on-farm water, nutrient and pest management, and access to credit and market information were introduced in Atsbi-Womberta district, Ethiopia. Besides, skill and uptake capacity of vegetable growers, extension service providers and vegetable traders were improved accordingly.
Upon a request from Jimma University, IPMS conducted four days Training of Trainers Workshop on Results-Based Monitoring & Evaluation to the University staff. The training workshop was organized jointly by the University and ILRI-IPMS from January 16-19, 2012 at the College of Agriculture and Veterinary Medicine campus, Jimma. Thirty one participants drawn from different departments (Animal Science, Economics, Accounting, Information Science, Statistics, Epidemiology, Management, Rural development & Agricultural extension etc.) have attended.
This presentation was given at the CIDA Stakeholders’ Workshop, ILRI, Addis Ababa, 2 May 2012. It introduced the value chain concept, value chains and marketing channels, business development services, and value chain upgrading.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.
The Livestock and Irrigation Value Chains for Ethiopian Smallholders (LIVES) project supports the efforts of the GoE to transform the smallholder agriculture sector to a more market-oriented sector. LIVES uses a value chain framework to develop targeted livestock and irrigated agriculture commodities through integrated technical and institutional innovations. Such a framework recognizes that value chain actors add value at different stages of the value chain and that individuals and organizations provide inputs and services to the value chain actors.
This policy brief shows how digital tools can help to ensure that public money for agricul-tural extension is spent wisely. Governments often fund offices, training centers, and the salaries of extension officers, but cannot eas-ily review the impacts of these expenditures. This is because the activities of extension agents are not monitored systematically. Ex-ension services rarely generate quantitative data on the effects of their work.