PushpendraDeshmukh, Abasaheb Jitendra2018-08-242018-08-242017-06http://krishikosh.egranth.ac.in/handle/1/5810069239The present investigation was taken up to study the genotype x interactions for seed yield and its components in fourty three diverse and elite soybean genotypes over three different environments represented by different altitude conditions in Uttarakhand state. Along with G x E interaction analysis, correlation analysis among yield component traits and seed yield was also carried out. The field experiment with fourty three genotypes of soybean was laid down in randomized complete block design with three replications at three diverse locations (Norman E. Borlaug Crop Research Centre at G. B. Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, ARS, Majhera, and Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora) during Kharif 2015. The Analysis of variance was revealed significance for all the characters understudy and pooled analysis for phenotypic stability, environments (linear) also differed significantly. Mean performance and environmental indices were graded E2 (Majhera) and E3 (Almora) environments as favourable and poor environments for seed yield and yield component traits respectively, while E1 (Pantnagar) identified as average environment for yield and most of the traits. Eberhart and Russell model recognized AMS 115 and NRC 118 as the most desirable and stable genotypes for yield per plot. while NRC 118 showed specific adaptability to rich environment for dry matter weight per plant and seed yield per plant and specific adaptability to poor environment for days to fifty per cent flowering, whereas AMS 115 showed suitability to poor environment for hundred seed weight, dry matter weight per plant, pods per plant and suitability to rich environment for days to 50 % flowering, number of seed per pod and harvest index. The AMMI analysis revealed that environment, genotypes and genotype by environmental interactions had significant effect on seed yield and accounted for 39.55%, 27.06% and 33.38% to of total variation. Based on principal component analysis (PCA), AMMI biplot provided visual evaluation and predictions on relationship between genotypes as well as trail locations. AMMI1 biplot analysis identified above both genotypes (AMS 115 and NRC 118) as the most desirable and stable genotype for seed yield per plot. The majority of the results obtained by AMMI biplot analysis were matched with those obtained by Eberhart and Russell model. According to AMMI analysis not a single genotype was identified as stable genotype for all the traits where MACS 1488, DS 3104, SL 688, Pusa 97-12 and NRC 118 were found to be stable across different environments for most of traits. Similarly, KDS 975 was found to be most desirable and stable for dry matter weight per plant and seed weight per plant in accordance with Eberhart and Russell model and AMMI biplot analysis as well. Correlation analysis revealed that seed yield per plot had positive significant correlation with dry matter weight per plant, seed yield per plant, numbers of pods per plant, harvest index, whereas negative correlation with days to fifty per cent flowering and plant height.ennullThesis