Since the entry into force of the Cartagena Protocol on Biosafety in 2003, concerted efforts have focused on mobilizing international assistance to help developing countries build their institutional capacities in biosafety and meet their obligations under the treaty. The FAO Regional Office for Asia and the Pacific, in cooperation with the Government of Thailand, launched “Asian BioNet” – a regional initiative on capacity building in biosafety of genetically modified (GM) crops in Asia.
Forest genetic resources (FGR) are the heritable materials maintained within and among tree and other woody plant species that are of actual or potential economic, environmental, scientific or societal value. They are crucial to the adaptation and protection of our ecosystems, landscapes and production systems, yet are subject to increasing pressures and unsustainable use.
This facilitation guide was developed to support the training of scientists who are members of the CCAFS Working Group on impact pathways and M&E for results-based management. The group attended a highly participatory introductory training from 1-5th April 2014 in Segovia, Spain. The objectives of the workshop were: 1. To introduce working group members to outcome thinking; 2. To present elements of the CCAFS theory of change (TOC), impact pathway (IP) and monitoring and evaluation (M&E) framework; 3.
Capacity development is regarded by CGIAR as an effective vehicle for sustainable development, when embedded within broader CGIAR Research Programs (CRP). This document offers guidelines on how CGIAR and boundary partners (or those partners who take up and adapt research results for the next level of users) can successfully develop and implement strategies which support this process of integration.
Governments of low-income countries and international development donors are increasing their funding for research at least in part on the assumption that research has positive impacts on socioeconomic development. Four pathways are commonly cited to describe how research will contribute to development: 1. Investment in research will drive economic growth; 2. Investment in research will increase human capital; 3. Investment in research will lead to the development of pro-poor products and technologies; 4.
This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.
Innovation is high on the agenda, in view of the deep economic crisis and the challenges of feeding 9 billion people in 2050 in a more sustainable way. For an effective and efficient response the Agricultural Knowledge and Innovation Systems (Akis) needs to innovate itself and adopt new ways of working.
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
This report has the aim of contributing to the PRO AKIS overall goal of exploring and identifying the possibilities, conditions and requirements of rural networks to enhance the farmers’ ability to create, test, implement and evaluate innovation in cooperation with other actors.In particular, the report presents two cases: the Small Fruit Cluster (SFC) and the Drosophila Suzukii Monitoring (DSM) network. The SFC is a nationwide, multi-actor network composed of several actors, interacting in the small fruit sector in Portugal.
The World development report 2010: development and climate change highlights the link between biotechnology, development, and environment. Aside from recognizing biotechnology's potential to improve crop productivity, increase crop adaptation to climatic stresses such as drought, and mitigate greenhouse gas emissions, the report emphasizes the need to establish science-based regulatory systems 'so that risks and benefits can be evaluated on a case-by-case basis, comparing the potential risks with alternative technologies' (World Bank 2010).