CGIAR is the only worldwide partnership addressing agricultural research for development, whose work contributes to the global effort to tackle poverty, hunger and major nutrition imbalances, and environmental degradation.
It is carried out by 15 Centers, that are members of the CGIAR Consortium, in close collaboration with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations and the private sector.
The 15 Research Centers generate and disseminate knowledge, technologies, and policies for agricultural development through the CGIAR Research Programs. The CGIAR Fund provides reliable and predictable multi-year funding to enable research planning over the long term, resource allocation based on agreed priorities, and the timely and predictable disbursement of funds. The multi-donor trust fund finances research carried out by the Centers through the CGIAR Research Programs.
We have almost 10,000 scientists and staff in 96 countries, unparalleled research infrastructure and dynamic networks across the globe. Our collections of genetic resources are the most comprehensive in the world.
What we do
We collaborate with research and development partners to solve development problems. To fulfill our mission we:
- Identify significant global development problems that science can help solve
- Collect and organize knowledge related to these development problems
- Develop research programs to fill the knowledge gaps to solve these development problems
- Catalyze and lead putting research into practice, and policies and institutions into place, to solve these development problems
- Lead monitoring and evaluation, share the lessons we learn and best practices we discover;
- Conserve, evaluate and share genetic diversity
- Strengthen skills and knowledge in agricultural research for development around the world
Making a difference
We act in the interests of the world’s poorest and most vulnerable. Our track record spans four decades of research.
Our research accounted for US$673 million or just over 10 percent of the US$5.1 billion spent on agricultural research for development in 2010. The economic benefits run to billions of dollars. In Asia, the overall benefits of CGIAR research are estimated at US$10.8 billion a year for rice, US$2.5 billion for wheat and US$0.8 billion for maize.
It has often been cited that one dollar invested in CGIAR research results in about nine dollars in increased productivity in developing countries.
Sweeping reforms for the 21st century
Political, financial, technological and environmental changes reverberating around the globe mean that there are many opportunities to rejuvenate the shaky global food system. Developments in agricultural and environmental science, progress in government policies, and advances in our understanding of gender dynamics and nutrition open new avenues for producing more food and for making entrenched hunger and poverty history.
The sweeping reforms that brought in the CGIAR Consortium in 2010 mean we are primed to take advantage of these opportunities. We are eagerly tackling the ever more complex challenges in agricultural development. We are convinced that the science we do can make even more of a difference. To fulfill our goals we aim to secure US$1 billion in annual investments to fund the current CGIAR Research Programs.
CGIAR has embraced a new approach that brings together its strengths around the world and spurs new thinking about agricultural research for development, including innovative ways to pursue scientific work and the funding it requires. CGIAR is bringing donors together for better results and enabling scientists to focus more on the research through which they develop and deliver big ideas for big impact. As a result, CGIAR is more efficient and effective, and better positioned than ever before to meet the development challenges of the 21st century.
We are no longer the ‘Consultative Group on International Agricultural Research’. In 2008 we underwent a major transformation, to reflect this and yet retain our roots we are now known simply as CGIAR.
Members:
Resources
Displaying 11156 - 11160 of 12598Farming secondary forests in Indonesia
Estimates of the area of swidden fallow secondary forest in Indonesia are inaccurate, partly because swidden agricultural practices giving rise to the secondary forest are heterogeneous. Throughout Indonesia, swidden agriculture is evolving into more intensive land use. A mixed secondary forest tree crop management appears to be the first stage towards a tree crop based production in Sumatra and Kalimantan. This changes the value of the forest/tree component of swidden agriculture, or the systems it evolves into.
Exploring biological diversity, environment and local people's perspectives in forest landscapes: methods for a multidisciplinary landscape assessment
This book for the first time brings together a suite of effective methods as a guidance on how to deal with the needs of local communities and biodiversity in landscapes required by decision makers. The techniques provide conventional biophysical descriptions of the landscape and explicitly relate this information to local needs, preferences and value systems. These methods can be used to guide future research and to make recommendations on options about land use and policy. The methods described in this report also provide a foundation for deeper dialogue with the forest communities.
Evaluation of methods for rehabilitation of logged-over lowland forest in Pasoh, Negeri Sembilan, Malaysia
Four rehabilitation methods were tested in logged-over lowland tropical forest in Pasoh Forest Reserve, Negeri Sembilan, Peninsular Malaysia. The treatments were: line planting (T1), gap planting 10m x 10m x 5 ha-1 (T2), gap planting 20 m x 20 m x 5 ha-1 (T3) and gap planting 10 m x 10 m x 9 ha-1 (T4). Hopea odorata, Azadirachta excelsa and Vitex pubescens were planted in the lines and gaps.
Estimating the potential of rain-fed agriculture
A global estimate of the potential for rain-fed agriculture could provide an answer to the question "How much irrigation is required?" Global studies done to date have relied on course resolution climate data (0.5-1 degree arc). In this study a high-resolution climate dataset (10-minute arc) was combined with a soil water storage capacity map and a dynamic water and crop model to estimate the potential for rain-fed agriculture. The methodology applied here, based ona high-resolution climate dataset, allows analyses on a global scale without losing the smaller regional-scale issues.