The present study was conducted to evaluate genetic diversity analysis for grain yield, its components as well as quality parameters along with 19 observations in 50 little millet genotypes under three environments i.e., Waghai, Vanarasi and Navsari locations, Gujarat, India in year Kharif-2020. PCA analysis revealed that the first two components in the PCA analysis were with eigen values more than one and contributed to a maximum of 92.14 per cent of the variability among 50 genotypes evaluated for nineteen different traits. Based on scatter plot matrix, genotypes viz., WV 303, WV 275, WV 278, WV 281, WV 292, WV 299, WV 263, WV 296 and WV 259 were scattered across apart in the biplot indicated high genetic divergence across the genotypes. Genotypes viz., WV 287, WV 258, WV 260 and WV 272 were found to be closer to the origin and each other, indicated minimal genetic divergence. PCA analysis revealed that the first two PCs were more divergent along with different positive signifying genotypes for different characters would be utilized in hybridization programmes to produce superior recombinants in little millet breeding. These genotypes may be used in further breeding programme in little millet