The Scaling Agricultural Innovations Workshop gathered scaling experts from a range of organizations and agriculture sectors to share their experiences and ideas on the findings and lessons learned from five case studies (hybrid maize in Zambia, irrigated rice in Senegal, Purdue Improved Crop Storage bags in Kenya, agricultural machinery services in Bangladesh, and Kuroiler chickens in Uganda).
A value chain study on sweet potato was conducted in 11 districts of Malawi across all the three regions to analyze and identify bottlenecks and inherent opportunities for possible investments for upgrading and development of the value chain. The study applied both quantitative and qualitative methods to collect primary data from 94 farmers belonging to 7 farmer groups using Focus Group Discussions (FGDs), 14 traders and 16 key informants comprising policy makers, NGO representatives and scientists from both local and international research institutions.
The study began with a review of literature on Malawi’s pigeon pea sector. Specifically, the literature review examined secondary material on pigeon pea production, trade (international and export market) and consumption/demand in Malawi. The literature review also included a quick analysis of secondary data on pigeon pea to understand trends in production, productivity, marketing, pricing, processing and consumption/demand.
This brief summarizes a report on the first large survey of maize traders in Nigeria in the past several decades. The sample of about 1400 traders covered one state in the South and four in the North, with traders in city wholesale markets in the North (Jos, Kaduna, Kano, Katsina) and South (Ibadan) and regional markets in secondary cities in the North.
This study presents the results from a meso-inventory conducted in Kebbi State, Northern Nigeria between March and July 2018. Was explored the extent to which the farmed-fish value chain is transforming structurally and the roles of capture fishing versus farmed fish. Kebbi is one of Nigeria’s leading states for fish production. Though largely Sudan Savanna (in the north) and Northern Guinea savanna (in the south), and thus semi-arid tropics, there is still a lot of water and a lot of fish.
While the development commu nity has recently begun the turn toward climate-sensitive program ming, climate-related efforts have focused on big transformations and big polluters. Energy generation and deforestation are easily identified sources of greenhouse gas emissions for which we have data and policy tools, and therefore a certain degree of comfort. Certainly, global emissions are greatly influenced by energy generation, distressing rates of deforestation in what remains of the world's tropical forests, and other large sources of greenhouse gas emissions.
The Feed the Future Mozambique Agricultural Innovations Activity (FTF Inova) made good progress on its interventions during quarter (Q) 2 of fiscal year (FY) 2019, facilitating the introduction and adaptation of a number of innovations with an increasing portfolio of partners. Testing of established probes continued, accompanied by the first set of learning, while new probes also emerged.
A worthy agricultural innovation system (AIS) is one that that helps an agricultural sector be productive, sustainable and resilient and facilitates reduction in poverty and malnutrition. How can an AIS be made resilient in the context of the COVID-19 pandemic is a question pondered in this note. The key issue will be continued strong investment in knowledge and technology creation that underpins growth in productivity and the active pursuit of mechanisms that make agriculture more resilient to the emerging environments challenges around the world.
Climate change is threatening development gains and intensifying global inequities—putting peace and important gains in human well-being at risk.
In 2016 and 2017, the Feed the Future Senegal Naatal Mbay project, funded by the United States Agency for International Development (USAID), conducted a study on women’s empowerment in agriculture to determine the level of empowerment among participating households and to identify the main constraints to empowerment.