Vol. 11, Issue 1 (2022)

Author(s):
Manoranjan Biswal and Anita Babbar

Abstract:
To ascertain the selection criteria, the advance breeding lines of desi chickpea were assessed during the rabi cropping season 2019-2020 and 2020-21 for fourteen traits including phenological and quantitative traits. Selection of yield and yield contributing traits along with genotypes were established elicited from Principal component analysis. Out of fourteen PCS identified, 5 PCs manifested more than 1.0 Eigen value and revealed about 79.80% variability. The PC1 elucidated 26.21% variability among traits, while, PC2, PC3, PC4 and PC5 exhibited 22.14%, 12.55%, 10.19% and 8.71% variability respectively. PC1 revealed high positive loading for days to pod initiation, plant height, number of primary branches per plant and seed yield per plant. Principal factor two PC2 explained high positive loading for days to flower initiation, days to 50% flowering and days to maturity, while, PC3 was mostly related with trait total number of pods per plant. Principal factor four PC4 were correlated with biological yield per plant and seed yield per plant, whereas, PC5 was dominated by 100 seed weight. Therefore, these five principal components can be allowed for simultaneous selection of yield and yield attributing traits in desi chickpea. On the basis of high PC scores genotypes viz., BG 3091, GL 14015, DC16-116, GNG 2367, JG 36 and IPC 2010-14 found in PC1, JG 36, GL 14015, BRC 302, JG 11 × JG 14, ICCV 15118, DC16-116 and RKG 13-205 in PC2, JG 2016-1614, BG 3091and GL 14015 in PC3, JG63 × ICC4958, JG2017-49 and JG24 in PC4 and JG 11 × JG 14, ICCV 15118, RKG17-04, GL 14015, PG 187, GJG 1503 and JG 2016-1614 were identified in PC5. These genotypes may be utilized in precise crop improvement programme of chickpea for enhancing seed yield and its attributing traits.