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 2536 - 2540 of 12598CAADP BR data improvements and challenges: A critical analysis of theme 2 in the 3rd BR cycle
To improve the quality of data and reporting for the fourth cycle of the Comprehensive Africa Agriculture Development Programme (CAADP) Biennial Review (BR),1 the African Union (AU) conducted a critical analysis of the process, data, and reporting associated with the third BR.
Seed and market systems of the Eastern DRC: A fragile state case study
This report presents one of three case studies undertaken as part of a broader study to explore and develop models for the emergence of enhanced and resilient seed systems in fragile state contexts. Such contexts provide a particular challenge for seed system development. Existing formal seed sector development models are not viable in fragile states due to a severe lack of capacity, insecurity, and ongoing political and economic instability. The formal seed sector is either weak or non-existent in fragile states, and farmers necessarily rely on the informal seed sector.
Misperceiving and misreporting input quality: implications for input use and productivity
Farmers in developing countries routinely misperceive or misreport input quality for various reasons, which introduces substantial measurement error in farm survey data. In this paper, we motivate and illustrate, both analytically and empirically, the inferential and behavioral implications of misperception and misreporting using a unique crop variety identification data from Nigeria. Using a non-parametric framework for testing the presence of measurement error, we show that crop variety misclassification in our data is mostly driven by misperception.
Evaluation of multiple satellite precipitation products for rainfed maize production systems over Vietnam
High-resolution reliable rainfall datasets are vital for agricultural, hydrological, and weather-related applications. The accuracy of satellite estimates has a significant effect on simulation models in particular crop simulation models, which are highly sensitive to rainfall amounts, distribution, and intensity. In this study, we evaluated five widely used operational satellite rainfall estimates: CHIRP, CHIRPS, CPC, CMORPH, and GSMaP.
Farm production diversity, household dietary diversity, and nutrition: evidence from Uganda's national panel survey
Improved food security and nutrition remain a notable global challenge. Yet, food security and nutrition are areas of strategic importance regarding the United Nations’ Sustainable Development Goals. The increasingly weakening global food production systems pose a threat to sustainable improved food security and nutrition. Consequently, a significant population remains chronically hungry and severely malnourished. As a remedy, farm production diversity (FPD) remains a viable pathway through which household nutrition can be improved.