The present study deals with the development disparities in districts of Haryana according to their level of development. The study utilized data over three points of time, viz. 1991-92, 2001-02, and 2011-12. Assessment of development in agricultural, industrial, infrastructural and socio-economic sectors has been studied using composite indices based on forty indicators. Out of the forty indicators, 19 were directly concerned with agricultural development, 4, 8 and 9 respectively reflected the progress of development in industrial, infrastructural, and socio-economic sectors. Sector-wise indices were combined to obtain weighted index for the overall development. The study indicated wide disparities in level of development among districts of Haryana in all the periods of study.The district of Mahendragarh lagged behind in almost all the sectors considered for this study. The districts of Faridabad and Gurgaon lagged behind in agriculture while the district of Karnal excelled in agriculture in all the three periods. The districts of Ambala, Faridabad and Gurgaon ranked first in overall development in 1991-92, 2001-02 and 2011-12, respectively, whereas Mahendragarh ranked last in 1991-92 and 2001-02 and the newly formed district Mewat in 2011-12. Spearman’s rank correlation was used to study relationships among sectoral developments. Kruskal Wallis test indicated significant changes in development level of industry and infrastructure sectors over the periods 1991-92, 2001-02 and 2011-12.

Performance of a genotype is the result of its genetic constitution and the environment in which it has been grown. In practice, a particular variety may not exhibit the same phenotypic performance under different environments. Also, different varieties may respond differently to a specific environment. Additive Main effects and Multiplicative Interaction (AMMI) and GGE biplot analyses are the most frequently used models to explain G×E interaction of multi-environment cultivar trials. Based on climatic conditions, the pearl millet cultivation in India is divided in 3 major zones A1, A and B for effective evaluation of the pearl millet breeding material. In the present study, the G×E interaction in pearl millet genotypes from zone-A of India has been evaluated using the techniques of AMMI and GGE biplot analyses. A new Weighted Stability Index (WSI) has been proposed for determining the high yielding and stable genotypes based on the normalized indices for grain yield and ASV indices. The three interaction principal component axes (IPCA1, IPCA2 and IPCA3) have been found to be significant for this zone. AMMI Stability Value (ASV) and Stability Index have been used to find the most stable genotypes while indices YSI and WSI have been used to find both the most stable and high yielding genotypes. On the basis of ASV, genotypes MH 2120, MH 2109 and MH 2116 have been found to be the most stable for this Zone. The Spearman’s rank correlation coefficient between YSI and WSI was found to be significant at 1% level of significance indicating that the two indices have almost similar performance in determining high yielding stable genotypes.