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 Integrated Research Evaluation and Impact Assessment (REIA) database 

Introduction

The Integrated REIA database is constructed using three primary databases of Socioeconomics and Policy Program of ICRISAT namely – Medium Term Plan (MTP) database (research theme data set and table 5.2 of MTP 1994-98 document), technology inventory database and technology adoption database (pearl millet and Pigeonpea - ICPL 87) which is inclusive of gender database.

Scope

The integrated database contains information on - research theme data sets, funding options - core/complementary, ICRISAT research (since inception) and output, constraints limiting adoption and diffusion of technologies, key variables influencing adoption/non-adoption of ICRISAT derived germplasm and gender analysis of groundnut production technology adoption and diffusion.

Overview
MTP Database:

MTP database in summary has all the proposed research themes, across all programs consolidated into a single listing in priority sequence for the entire institute, representing the translation of the mission statement into a portfolio of concrete research themes together with associated supporting activities.The data used in the construction of the research themes for the MTP provides milestones for the purposes of monitoring and evaluating ICRISAT research.

MTP database in summary has all the proposed research themes, across all programs consolidated into a single listing in priority sequence for the entire institute, representing the translation of the mission statement into a portfolio of concrete research themes together with associated supporting activities. The data used in the construction of the research themes for the MTP provides milestones for the purposes of monitoring and evaluating ICRISAT research.

Technology inventory database:

The database includes data on land and demographic details, cropping pattern and adoption of ICRISAT technologies – why and since when, sources of seed, post-harvest details, pest and disease problems, characteristics / traits of the technology leading to adoption, and constraints for non-adoption. Analyzing this information from selected locations will give an idea of the dominant cultivars in the locations and reasons for adoption/non-adoption of ICRISAT cultivars, which can be fed back to breeders/scientists.

The above database is constantly evolving. Currently the database captures information on pearl millet varieties in five states of India namely Maharashtra, Gujarat, Rajasthan, Haryana and Tamil Nadu during the period 1994-96. Information on pigeonpea variety ICPL 87 is also available for the period 1995 in states of Maharashtra and Karnataka, India.

A subset of the technology adoption database is the gender database which looks at adoption/non-adoption of a technology with a gender perspective.The details of this database follow
.

Gender database

ICRISAT introduced a gender dimension in their research activities on groundnut crop by carrying out a socio economic analysis of inter-and intra- household dynamics in SAT agriculture in a multidisciplinary environment in collaboration with Central Research Institute for Dryland Agriculture (CRIDA), India.The aim was to understand the SAT agriculture, the effects of agricultural technologies on the roles and responsibilities of men and women members of farm households and between different groups of farm households. Three exclusive case studies were carried out to study the differential effects and the likely effects of technology on men and women.

Surveys conducted in two villages each in Maharashtra and Karnataka states generated information on the land, livestock and demographic details of the respondents, and components or particulars of ICRISAT technologies adopted. Analysis of ‘Who does what and when’, ‘who has access to and control of resources and benefits’ from crop production especially groundnut and fingermillet and income and expenditure patterns of farm households  is the highlight of this database. Information on all the above variables is available at one point in time for the years 1992-1994.

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