The DIIVA and TRIVSA projects have been useful testing grounds for processes required to generate expert judgment data on varietal adoption in as transparent and systematic a manner as possible. Survey-based estimates of farm-level adoption are preferable to expert opinion but are expensive to generate (unless it is added to an existing panel like LSMS-ISA). However, for the majority of crop-by-country combinations (CCCs) a process of periodic expert assessment is foreseen with Centers playing a leading role in ensuring the data is updated periodically and expanded to include new CCCs.
The Michigan State University (MSU) is leading the SPIA effort (as a part of SIAC Objective 2.1) to document the diffusion and adoption of improved varieties of major CGIAR mandated crops in South, Southeast and East Asia using expert elicitation method and existing datasets. Specifically, MSU will:
- Assemble, document, process and clean data collected on
varietal releaseand varietal adoptionat the national level for CGIAR mandate crops.
- Test and standardise "best practice" protocols for assembling varietal production and adoption data. The goal will be to systematise the collection of representative adoption data at the national, regional, state or province level in the most cost-effective way possible.
Through the January 2014 inception workshop (Agenda) with CGIAR Centers, NARs partners and consultants a list of 135 CCCs was initially identified, and brought down to 127 CCCs based on priorities and data availability. CIAT, CIMMYT, CIP, ICRISAT, and IRRI will work with MSU on data collection and validation through 2015.
Outputs from the Bangkok inception workshop include: