Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

A sampling scheme for study of two characters

Abstract: On considere un plan d'echantillonnage approprie pour l'estimation des moyennes d'une population finie bivariable

Important Versions of RSS

Abstract: McIntyre’s RSS has been studied and modified by several authors for different purposes and situations.

Optimal Designs for Best Linear Unbiased Prediction in Diallel Crosses

Abstract: Recently, Ghosh and Das (2003) considered the estimation of variance components and the variances of these estimates. While comparing the yielding capacities of the cross (i, j), Kempthorne and Curnow (1961) proposed the estimation of the yielding capacity of any cross based on the least square estimators of the general combining ability effects and/or the mean yield of the cross (i, j). In this article, the problem of predicting the yielding capacity of the cross (i, j) from the sample of inbred lines has been considered. The properties of the best linear unbiased predictor for predicting the unobserved general combining ability effects together with general mean effect has been studied. We characterize A-optimal complete diallel cross designs and some efficient partial diallel cross designs under this setup.

The Variation and Stability Analysis of Starch Pasting Properties among New Plant Type (NPT) Wheat Derivatives

Abstract: Pasting is one of the most important properties of wheat starch determining the flour quality and functionality. Twenty three New Plant Type (NPT) wheat derivatives along with three checks (PBW 343, HD 2329, and Raj 3765) have been studied in multi-location trials to assess the variation and environment induced fluctuations for their starch pasting properties. Although all flour pasting characteristics varied, Breakdown Viscosity (BV) and Setback Viscosity (SV) exhibited greater variability across environments. Additive Main effects and Multiplicative Interaction (AMMI) analysis indicated significant interactions between Genotypes and Environments Interaction (GEI) in starch pasting properties. Genotypes accounted largest proportion (39.78%) of the Sum of squares (SQ) for peak viscosity (PV) followed by environments (33.30%) and GEI (33.30%). Trough Viscosity (TV), GEI accounted for the largest proportion (40.44%) of the SQ followed by environments (31.76%) and genotypes (27.80%). Genotypes accounted for the largest proportion (44.0%) of the SQ for (BV) followed by environments (33.30%) and GEI (21.59%). With respect to FV, environments accounted for the largest proportion (43.07%) of the SQ followed by GEI (30.84%) and genotypes (26.09%). Environments accounted for the largest proportion (52.48%) of the SQ followed by genotypes (23.89%) and GEI (23.65%) for SV. The interactions between genotype and locations differed greatly; however, some genotypes apparently found to be specifically adaptable to growth location. Correlation among starch pasting characteristics revealed that significant positive correlations were found between PV and BV, FV and TV, as well as SV and FV in all the individual environments tested that can be utilized in selection and simultaneous improvement in for starch quality improvement.

Impact of Public Investment in Irrigation Projects on Food Grain Productivity

Abstract: The behaviour of agricultural investment inspired to investigate the true relationship between public investment and agricultural productivity. The present study attempted to examine the nature and extent of disparity in public investment in major and medium irrigation projects across states and to examine the long-run effect of public investment in major and medium irrigation in food grain productivity across the major states of India. The analysis showed that disparity among the states on the basis of expenditure on per hectare of gross cropped area in each state was marginally increased over the plan periods. The results obtained from Polynomial Distributed Lag (PDL) model showed that in Andhra Pradesh, Karnataka, and Orissa, a lag of six years was observed in attaining the 100 percent effect of public investment (major and medium irrigation) on food grain productivity while in Gujarat a lag of 9 years was observed. In Kerala, a lag of 11 years, Maharashtra and Rajasthan a lag of 7 years was observed. West Bengal, Punjab and Assam, a lag of 12 years was observed for realising the 100 percent effect of public investment in major and medium irrigation on food grain productivity.