Vol. 7, Issue 3 (2019)
Combining ability and character association analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea L.)
Author(s): Nagendra Maurya and AK Singh
Abstract: The experiment conducted on 10×10 half diallel fashion in Indian mustard (brassica juncea L.) were assessed to work out the combining ability and character association analysis for seed yield and its contributing traits. The analysis of variance showed that GCA effects were highly significant or significant for all the characters viz., days to 50 per cent flowering, days to maturity, number of primary branches per plant, number of secondary branches per plant, number of siliquae on main raceme, length of siliqua, number of seeds per siliqua, 1000- seed weight, oil content and seed yield per plant in F1 as well as F2 generations. The SCA effects were also highly significant or significant for all the eleven characters in both the F1 and F2 generations. Seed yield per plant reveled GCA effects were negative and significant in both F1 and F2generations for Varuna, Rohini, Krishna and Vaibhav. The GCA effects of NDRE-4 and RH-9304 were negative and highly significant in F2 but positive and highly significant in F1. Seed yield per plant revealed that the 32 crosses in F1 and 39 crosses in F2 showed positive and significant SCA effects. Only three crosses viz., Rohini ´ RH-9304, Vardan ´ RH-9304 and Maya ´ Pusa Mahak in F1 and three crosses Rohini ´ Vardan, Vardan ´ RH-9304 and Maya ´ RH-819 in F2 also showed negative and highly significant SCA effects. On the basis of per se performance in F1, the best cross combination for seed yield per plant was Krishna ´ RH-9304 (11. 03). In the F2 generation, the best cross combination was Vaibhav ´ Maya (10. 62). Strongly positive correlation were those observed between seed yield per plant and number of secondary branches per plant (0. 44), 1000-seed weight and plant height (rg = 0. 299) and between seed yield per plant and 1000-seed weight (rg = 0. 293) in F2 generation. Hence selection for the higher values of these traits will be desirable to increase seed yield.
Pages: 1069-1077 | 345 Views 61 Downloads
download (8303KB)
How to cite this article:
Nagendra Maurya, AK Singh. Combining ability and character association analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea L.). Int J Chem Stud 2019;7(3):1069-1077.
