Article Main

Alok Kumar R. K. Gill Sarvjeet Singh

Abstract

One hundred and thirty five RILs (Recombinant Inbred Lines) developed from a cross between an indigenous and exotic line of lentil (Lens culinarisMedik.)were evaluated for seed yield and component traits during rabi 2012-13 and 2013-14. Pooled analysis of variance revealed significant differences among the RILsfor all the traits studied. This suggested that there was ample scope for selection of promising RILs for yield improvement in lentil. Phenotypic and genotypic coefficients of variation were high for pods per plant(32.49% and 26.75%) followed by biological yield per plot(24.38% and 21.28%). Genetic advance was highest for 100-seed weight(47.75%)followed by pods per plant(45.39%). Estimation of phenotypic correlation coefficients indicated that seed yield per plot expressed highly significant and positive correlation with biological yield per plot(0.634), harvest index(0.300) and seeds per pod(0.156). Path coefficient analysis revealed that the traits; biological yield per plot , harvest index, number of pods per plant, days to 50% flowering, days to maturity , plant height and primary branches per plant had positive direct effect on seed yield per plot. The selection of these traits would be helpful for further yield improvement in lentil.

Article Details

Article Details

Keywords

Correlation, Genetic Variability, Lentil, Path analysis, Recombinant inbred line (RIL)

References
Al-Jibouri, H.A., Millar, P.A. and Robinsen, H.F. (1958). Genotypic and environmental variance and co-variances in an upland cotton crop of interspecific origin. Agron., J.50 : 633-36
Bicer, B.T. and Sarkar, D. (2008) Heritability and path analysis of some economical characteristics in lentil. J Central Eur Agric.,9:191-196
Dalbeer, Nath, S., Verma, O.P., Kavita, Kumar, K. (2015). Correlation and path coefficient analysis for yield attributes in lentil. International journal of science and research, 4(8):158-160
Dewey, D.R. and Lu, K.H. (1959). Correlation and path
coefficient analysis of crested wheat grass seed production. Agronomy J., 51: 515-518
Kumar, N., Chahota, R.K. and Sood, B.C. (2009). Component analysis for seed yield and yield traits in microsperma × macrosperma derivatives of lentil (lens culinaris Medik.) Agric Sci Digest, 29: 163-168
Kumar, R., Kumar, M., Dogra, R.K. and Bharat, N.K. (2015).Variability and character association studies in garden pea during winter season at mid hills of
Himachal Pradesh. Legume Research, 38(2): 164-168
Muehlbauer, F. J., Clement, W. J., and Summerfield, R. J. (1994). Production and breeding of lentil. Advances Agron.,54:315-16
SAS (1996). SAS / STAT software: Changes and Enhancements through Release 6.11. SAS Inst. Inc., Cary. NC.
Sharma, V., Paswan, S.K., Singh, V. and Khandagale, S. (2014). Correlation and path coefficient analysis of economically important traits in lentil. The Bioscan, 9(2): 819-822
Singh, P., Singh, R., Kumar, K. and Singh, D.K. (2012).Estimates of genetic parameters in diverse
genotypes of lentil. J Food Leg., 25:66-69
Singh, S., Singh, I., Gill, R.K., Kumar, S. and Sarker, A. (2009).Genetic studies for yield and component
characters in large seeded exotic lines of lentil. J Food Leg., 22:229-232
Singh, U. and Srivastava, R.K. (2013).Genetic variability, heritability, interrelationships association and path analysis in lentil (Lens culinaris Medik.). Trends in Biosci., 6:277-280
Singla, R., Sharma, P. and Brar, J.S. (2007) Genetic studies for physiological traits and their relationship with seed yield in lentil. J Food Leg.,20: 29-32
Tadesse, T., Leggesse, T., Mulugeta, B. And Sefera, G. (2014). Correlation and path coefficient analysis of yield and yield components in lentil germplasm in highlands of Bale, Ethiopia. Int. J. Biodivers. Conserv., 6(1): 115-120
Section
Research Articles

How to Cite

Component traits influencing seed yield in recombinant inbred lines of lentil (Lens culinaris Medik.). (2017). Journal of Applied and Natural Science, 9(2), 992-997. https://doi.org/10.31018/jans.v9i2.1308