2002 and there has been phenomenal increase in its acreage. The present study made an attempt to use Logit regression model to identify the factors which influenced the adoption of Bt cotton. The study was conducted with randomly selected 120 adopters and 60 non-adopters of Bt cotton from Punjab and Karnataka. Logit analysis revealed significant influence of size of holding, capital base, extension contact, innovativeness, achievement motivation, and perception about Bt cotton on adoption decision of the farmers for Bt cotton, whereas in contrary to a priori expectation, information source pluralism, mass media exposure, social participation and education were not found to have a significant influence. Plant protection measures, identification of quality seed, and use of refuge line were identified as the most important training needs of the farmers. Comparative analysis of training needs of farmers of Punjab and Karnataka with Mann-Whitney U test revealed significant difference in areas of identification of quality seed (P<.01), planting density (P<.01), use of fertilizers (P<.01), sowing (P<.01), use of micronutrients (P<.05), use of plant growth regulators (P<.05) and disease management (P<.01)

Keyword: Logit regression model; E