Vol. 10, Issue 5 (2021)

Author(s):
Halavath Sai Kumar, GR Lavanya, G Babithraj Goud, Shivashish Verma and Sindhuja Yerrabala

Abstract:
To determine the selection criteria, the genotypes of chickpeas were evaluated during the rabi season of the year 2019-2020 for twenty five characteristics including biochemical and physiological characteristics. Selection of genotypes and traits based on Principal component analysis. The first of the 12 PCS identified is 83.9% of the variation of the 9 PCS. PC1 explained 21.45% of the total diversity. While PC2, PC3, PC4, PC5, PC6, PC7, PC8 and PC9 have displayed variability of 11.61, 10.61, 9.89, 9.05, 6.66, 6.01, 4.47, 4.32 and all PCs have 1 to 1 respectively. More Egin values ​​are shown. Results regarding PCA revealed that first three PCS’s showed maximum variation and cumulative variance percent. Principle component analysis extracted from first principal component PC1 showed high positive loading for days to maturity (0.373), days to 50% flowering (0.370), grain yield per plant (0.357), chlorophyll content (0.338), starch content (0.293), biological yield (0.282), number of seeds per plant (0.244), plant height (0.213). where as it showed high negative loading for canopy temperature at vegetative stage (-0.047), trypsin inhibitor (-0.053), crude fiber (-0.105), and protein content (-0.150). Principal factor two PC2 enabled high positive loading for leaf area index at 108^th and 55^th day (0.380) (0.306), number of secondary branches (0.323), biological yield (0.252). where as it showed high negative loading for plant height (-0.333), specific leaf weight at 110^th day (-0.423), harvest index (-0.286), and days to 50% flowering (-0.197). which exhibited most significant contributions to genetic variability among chickpea genotypes in this study.