Author(s):

Arpna Kumari and Vedna Kumari

Abstract: In order to assess the nature and extent of genetic variability and inter-relationships among seed yield and related traits, an experiment was conducted at CSKHPKV, Palampur during rabi 2008-09 and 2009-10. The pooled analysis of variance over the environments indicated that the mean squares due to genotypes were significant when tested against mean squares due to g x e interactions for characters CGR (GS₃), RGR (GS₃), NAR (GS₃), LAR (GS₂), SLW (GS₂), days to flower initiation, days to 50 per cent flowering, days to 75 per cent maturity, plant height, siliqua length, 1000-seed weight and harvest index. The g x e interactions were significant for RGR (GS₂), days to flower initiation, number of secondary branches per plant, siliquae per plant, length of main shoot, siliquae on main shoot, seeds per siliqua, seed yield per plant, biological yield per plant and harvest index indicating that genotypic differences recorded in individual environments had vanished for these characters. The mean values of the characters studied showed a wide spectrum of genetic variation and characters such as LAR, LAI, LAD, SLW, days to flower initiation, seeds per siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index recorded excellent potential. On the basis of mean performance, Geeta and RH-8544 were found to be promising genotypes for seed yield and biological yield per plant. RH-8544 also exhibited resistance to white rust. The phenotypic correlation coefficient revealed significant positive associations of CGR (GS₂), LAI (GS₂), SLW (GS₂), plant height, number of primary branches per plant, number of secondary branches per plant, siliquae per plant, length of main shoot, siliquae on main shoot, biological yield per plant and harvest index with seed yield per plant. The path coefficient analysis revealed that biological yield per plant and harvest index exhibited positive and high direct effects on seed yield per plant. Therefore, these characters could be considered as the best selection parameters for the improvement of seed yield per plant.

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