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 1886 - 1890 of 12598Cutting dipping application of Flupyradifurone against cassava whiteflies Bemisia tabaci and impact on its parasitism in cassava
The cassava whitefly Bemisia tabaci causes damage in cassava through the feeding and vectoring of plant viruses that cause cassava mosaic and cassava brown streak diseases. This study sought to explore the efficacy of cutting dipping in flupyradifurone for whitefly control and the impact of the mode of application on whitefly parasitism under farmer field conditions. The insecticide treatment significantly reduced adult whiteflies by 41%, nymphs by 64%, and cassava mosaic disease (CMD) incidence by 16% and increased root yield by 49%. The whitefly parasitism rate by Encarsia spp.
Stakeholder Analysis: Prospects for Effective and Sustainable Implementation of Innovation Packages, Achieving Initiative's Immediate Results and Outcomes in Mali
This report aims to provide a structured analysis of a stakeholder assessment related to
sustainable animal productivity for livelihoods, nutrition, and Gender Inclusion in Mali. This
analysis is part of the CGIAR initiative SAPLING, with the primary goal of understanding and
identifying the role of various stakeholders, their potential contributions, and avenues for
collaboration to ensure the successful implementation of SAPLING’s innovation packages
(IP) and the desired outcomes of the initiative. This work aims at: i) Identifying wich relevant
Changing dynamics in the spread and management of banana Xanthomonas wilt disease in Uganda over two decades
Banana Xanthomonas wilt (BXW) is a destructive disease caused by Xanthomonas vasicola pv. musacearum (Xvm) bacterium that indiscriminately infects all banana varieties grown in East and Central Africa (ECA). In this region, BXW was first reported in 2001 in Uganda and was projected to eliminate >90% of Uganda’s bananas worth US$4 billion if not controlled in less than 10 years. Lack of basic information led to application of control approaches that were based on similarity of BXW symptoms to those of Moko disease of bananas.
Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
Context
Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency.
Objective
The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide.
Methods
Climate Risk Management in Agricultural Extension Curriculum Validation and Training of Trainers Workshop in Kenya
Climate change and year-to-year climate variability have resulted in widespread, pervasive impacts to ecosystems and people in Africa, including increases in the intensity of weather extremes such as droughts and floods. While these shifting and varying temperature and precipitation patterns have affected the productivity of many climate-sensitive sectors, the agricultural sector has been the most impacted, resulting in reduced food availability and increased food prices, ultimately jeopardising food security, nutrition, and livelihoods of millions of people.