Vol. 6, Issue 8 (2017)
Genetic components analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea (L.) Czern & Coss)
Amit Tomat and Mahak Singh
Analysis of variances revealed highly significant differences for all the traits. The orthogonal components like parents, females, males, females vs males and parents vs hybrid’s were also significant for all the traits except parents for 1000-seed weight, females for 1000-seed weight, males for number of primary branches and 1000-seed weight, females vs males for number of primary branches and number of seeds per siliqua, hybrid’s for 1000-seed weight. Parents vs hybrid’s was found significant for all the characters. A wide range of variability for all traits was observed among parents and F1. The estimates of components of variance viz., variances and g and s were calculated from the variances of all the 12 characters. The ratio of g and & s [ g / s ] and average degree of dominance expressed as [ s/ g ]0.5 were also worked out The ratio of 1 : 1 between g and s indicated an equal importance of both the additive and non-additive genetic variability for expression of the characters while the deviation from 1:1 ratio indicated more importance of either g or s depending upon the magnitude of the ratio. The estimates of g were lower than s for all the characters except oil days to maturity. The ratio of g/ s was less than 1.0 in all the attributes except days to maturity which the ratio of g/ s was greater than unity. The average degree of dominance ( s/ g) was more than unity for eleven characters viz; days to flowering, plant height, number of primary branches, number of secondary branches, number of siliquae per plant, number of seeds per siliqua, biological yield, harvest index, 1000-seed weight, oil content and seed yield per plant showing over dominant in these attributes. This parameter was less than unity for days to maturity reflecting the nature of dominance as partial.
How to cite this article:
Amit Tomat, Mahak Singh. Genetic components analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea (L.) Czern & Coss). Pharma Innovation 2017;6(8):386-389.