Date: Wednesday April 12 2017
Tools and approaches to prioritising CSA interventions in South Asia
April 12, 10am EDT (New York Time)
Dr. Pramod Aggarwal, CCAFS RPL, South Asia
Several global as well as regional and local studies have indicated that the agriculture production may decline even in the short-term, if corrective actions are not taken now to improve our adaptive capacity. Changes in agronomic practices, adoption of the new technologies and the use of relevant information at the farm level are often suggested as options that can significantly improve crop yields and net farm incomes, increase input-use efficiencies, increase resilience, and reduce greenhouse gas emissions. These interventions, however, come with varying costs and economic impacts, and their implementation requires critical investment decisions, especially in developing countries where capital is a key constraint. This webinar will showcase a few examples of how the CSA interventions can be prioritized at farm scale, and at regional scale in South Asia using simple choice experiments, spreadsheet based models, and detailed agro-economic decision support tools depending upon the information needs of the stakeholders.
Pramod Aggarwal is Regional Program Leader of the CGIAR Research Program on Climate Change, Agriculture and Food Security. He was the Coordinating Lead Author for the chapter ‘Food, Fiber, and Forest Products’ of the Fourth Assessment Report (2007) of the Inter-Governmental Panel on Climate Change and a Review Editor for AR5. He is a member of the Editorial Boards of several journals and is a Fellow of the National Academy of Sciences, India and National Academy of Agricultural Sciences, India.
Pramod holds a Ph.D. from University of Indore and also from Wageningen University, Netherlands. His research contributions include developing the concept of climate-smart villages, crop growth models for the tropical environments, impact assessment of climatic variability and climate change on crops, characterizing risks of yield loss for developing weather derivatives, and crop yield monitoring systems.