ICAR-IASRI Newsletter, April-June, 2016

Abstract

Small Area Estimation (SAE) techniques has been used on the All-India Debt and Investment Survey (AIDIS) data to produce estimates as well as spatial maps of incidence of indebtedness at the District level for the state of Uttar Pradesh. These micro estimates and spatial maps are expected to provide invaluable information to policy-analysts and decisionmakers for identifying the regions and social groups requiring more attention. In many practical situations in plant and animal breeding, observations are not independent. Appropriate methodology has been developed for computing heritability estimates under correlated error structure. Non-sampling errors are common in large scale surveys. To address the problem of non sampling errors in large scale sample surveys and reduce the cost of data collection, an android mobile based application for data collection named MAPI (Mobile Assisted Personal Interview) has been developed. This software is built on android version 4.1 (Jelly Bean) and inbuilt database named Sqlite Database support average models of android mobile phones and tablets. MAPI has built in Eclipse Juno software which generate .apk (android package kit) file for installation as per the device requirement. MAPI is available online at sample survey resource server of ICAR-IASRI, New Delhi at http://sample.iasri.res.in/ssrs/ android.html. The MAPI software has been employed for collection of data on crop area and production in two districts of the state of Uttar Pradesh namely, Bulandsahar and Pratapgrah during Rabi season 2015-16 under the pilot study.