The food security research project (FSRP) aims to contribute to effective policy dialogue, capacity building, and ultimately an improved agricultural policy environment in Zambia, through collaboration with government and the private sector. It achieves these objectives through in-service capacity building, applied analysis, and policy outreach. A hallmark of the Michigan State University/FSRP approach is the “joint products” approach, whereby training, applied research and outreach are undertaken collaboratively with in-country stakeholders and government counterparts.
The food security research project (FSRP) aims to contribute to effective policy dialogue, capacity building, and ultimately an improved agricultural policy environment in Zambia, through collaboration with government and the private sector. It achieves these objectives through in-service capacity building, applied analysis, and policy outreach. A hallmark of the Michigan State University/FSRP approach is the “joint products” approach, whereby training, applied research and outreach are undertaken collaboratively with in-country stakeholders and government counterparts.
The Feed the Future Innovation Lab for Collaborative Research on Grain Legumes (Legume Innovation Lab; LIL), supports ten multi-disciplinary collaborative research and institutional capacity strengthening subcontracted projects working in 13 Feed the Future countries in Africa and Central America and the Caribbean involving scientists at 10 US universities, 3 USDA/ARS research centers, and 23 developing country national agriculture research systems and universities.
The overarching mission of the Feed the Future Innovation Lab for Collaborative Research on Peanut Productivity & Mycotoxin Control (PMIL) is to apply leading innovative US science to improve peanut production and use, raise nutrition awareness and increase food safety in developing countries. PMIL aims to integrate two major themes – peanut production and mycotoxin research – under one roof as part of a value chain approach.
To meet global demands towards food security, safety as well as sustainable agriculture and food systems innovative approaches are inevitable. Despite the growing body of literature in both innovation research and in values and aims, what has been explored to a lesser extent is the bridging link between these areas. This study represents a first step in addressing this relationship.
This presentantion discuss about the project "Catalysing actionable knowledge to implement climate-smart solutions for next-generation ACP agriculture". The presentation starts talking about the challenged and possible solutions, after discuss about the project approach and framework, present the partners of the project and make a review about the outcomes and lessons learned in the last one year
Since development agencies often implement interventions through collective-action groups such as farmer cooperatives and self-help groups, there is a need to understand how participation is affected by group-level and leader attributes. This study collected gender-disaggregated, quantitative and qualitative data on sixty-eight self-help groups in Zambia to understand the participation of men and women farmers in different crop-production activities. Results show that participation rates of men and women are the same across all maize production activities except harvesting.
This report describes eight relevant innovation projects caried out in Zambia.
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.
The objective of this study is to evaluate the ability of soil physical characteristics (i.e., texture and moisture conditions) to better understand the breeding conditions of desert locust (DL). Though soil moisture and texture are well-known and necessary environmental conditions for DL breeding, in this study, we highlight the ability of model-derived soil moisture estimates to contribute towards broader desert locust monitoring activities.