This paper is a case study of a network that combined participatory approaches to propose best suited knowledge management (KM) interventions for its member countries. A five-step exercise used existing elements of the alliance’s strategy, a KM survey and a face-to-face participatory validation of the analysis, to identify gaps in current KM approaches and to collectively point to immediate opportunities for improvement. The KM survey, also referred to as a scan, provided a neutral space for reflection.
Natural hazards have become more frequent and intense in the last few decades, increasing the often significant negative impacts on the gross domestic product of countries in southern Africa and undermining development efforts. Forecasts are negative as a result of climate change, which is increasingly linked to more frequent and severe weather patterns that are expected to have a dramatic impact on these countries‘ economies and environments.
This brief is part of the series, A Field Guide for Disaster Risk Reduction in Southern Africa: Key Practices for DRR Implementers, coordinated by the FAO Subregional Office for Disaster Risk Reduction/Management for Southern Africa. The brief provides practical guidelines on storage practices and methodologies to assist southern African farmers prone to natural hazards, mainly cyclones, droughts and floods.
Following the remarkable success of performance testing in the commercial sector, the Agricultural Research Council's Animal Improvement Institute (ARC–AII) initiated a beef cattle performance testing scheme for smallholder farmers in 1996. The scheme, which became known as Kaonafatsho ya Dikgomo (Sotho for animal improvement), has been running well in the Northern and North West Provinces and is set to spread gradually to the rest of the country.
This presentation focuses on Agricultural Innovation Systems in different sectors, including the South African wine sector in the apartheid era.
This webinar aimed to inform interested applicants on the process for the submission of a preliminary proposal as the first step in the LEAP-Agri Call 2017.LEAP-Agri is a partnership between partners from 19 European and African countries and the EU aimed at research and innovation for food and nutrition security as well as sustainable agriculture, including aquaculture. The partnership is an ERA-NET co-fund financed by funders from these countries with additional finances from the European Commission.
Processes of designing for systemic innovation for sustainable development (SD) through the lens of three long-term case studies are reported. All case studies, which originated from the SLIM (Social Learning for the Integrated Management and Sustainable Use of Water at Catchment Scale) Project, funded within the EU Fifth Framework Program (2001–2004), constitute inquiry pathways that are explored using a critical incident approach.
This presentation for the Third Global Conference on Agricultural Research for Development (GCARD, 5th - 8th April 2016 - Johannesburg, South Africa) discusses gender in relation to foresight in agrifood systems.
Policy processes are formal and informal negotiations in which heterogeneous groups of stakeholders seek to influence policy agenda setting and the development and implementation of policy. Innovation platforms can help balance the vested interests of market actors, civil society and other stakeholders to support policy processes. They can bring together different types of expertise, experience and interests, and facilitate learning between policymakers and market and civil society actors to develop negotiated and implementable policies and regulations.
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.