Research Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Genetic Variability, Correlation and Path Coefficient Analysis for yield and its components traits in Chickpea (Cicer arietinum L.)


Affiliations
1 Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P.- 211007, India
     

   Subscribe/Renew Journal


Chickpea is a crucial annual crop widely cultivated in semi-arid tropics. It is one of the most important pulse crops in India. Variability may be a greater need for initiating a breeding program for yield and yield contributing traits. A total of 30 lines, along with a check, were evaluated in Randomized Block Design (RBD) during Rabi 2020-21. Highest seed yield per plant was recorded by PHULE 4-5. All the traits showed significant variation among the lines. Number of seeds per plant, seed yield per plant, number of pods per plant showed high Genotypic Coefficient of Variation (GCV) and Phenotypic Coefficient of Variation (PCV), whereas seed index, number of pods per plant, number of seeds per pod, showed moderate GCV and PCV. Traits exhibiting high heritability coupled with genetic advance as percent of mean suggest that the traits are governed by additive gene action, equal contribution of additive and non-additive gene action respectively. Genotypic correlation coefficient analysis revealed that seed yield per plant showed highly significant and positive association with harvest index (0.930**). Phenotypic correlation coefficient analysis revealed that seed yield per plant showed significant and positive association with number of pods per plant (0.493**), biological yield (0.457**), seed index (0.425**) and harvest index (0.362**). The path analysis results showed that positive and direct on grain yield was exhibited by harvest index, days to maturity, number of secondary branches per plant, number of pods per plant, biological yield per plant, seed index, days to 50% pod setting and seed index.


Keywords

Chickpea, Genetic variability, GCV, PCV, Correlation analysis and path analysis.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Ministry of Agriculture and Farmers Welfare, Government of India. 4th advance Estimates. Annual Report. 2019-2020.

  • Agrawal, T., Kumar, A., Kumar, S., Kumar, A., Kumar, R. R., Kumar, S. and Singh, P. K. (2018). Correlation and Path Coefficient Analysis for Grain Yield and Yield Components in Chickpea (Cicer arietinum L.) under Normal and Late Sown Conditions of Bihar, India. International Journal Curr. Microbiol. Application Sciences, 7(2): 1633-1642.

  • Jeena, A.S., Arora, P.P. and Ojha, O.P. (2005). Variability and correlation studies for yield and its components in chickpea. Legume Research. 28(2):146-148.

  • Burton, GW. (1952). Quantitative inheritance of grasses. Proc. 6th Int. Grassland Congress. 1:277-283.

  • Lush, JL. (1940). Intra-sire correlation and regression of offspring in rams as a method of estimating heritability of characters. Proceedings of the America Philosophical Society on Animal Product. 33: 292-301.

  • Johnson, H.W., Robinson, H.E., Comstock, R.E. (1955). Estimates of genetic and environmental variability in soyabean. Agronomy Journal. 47: 314-318.

  • Alwani, H., Moulla, M. and Chouhan, W. (2010). Genotype environment interaction and genetic parameter in Chickpea (Cicer arietinum L.) landraces. Journal of Agricultural Science. 2(1): 153-157.

  • Babbar, A., Prakash. V., Prakash, T. and Iquabal, M.A. (2012). Genetic variability of chickpea (Cicer arietinum L.) under late sown condition. Legume Research. 35(1): 1-7. 9. Bicer, B.T. and Sakar, D. (2008). Heritability and path analysis of some economical characteristics in lentil. Journal of Central Europe Agriculture. 9(1): 191-196.

  • Yadav, J.K., Singh, H.L. and Kumar, R. (2003). Determining selection components in chickpea (Cicer arietinum L. Wilczek). Plant Archives. 3: 125-128.

  • Talebi, R., Fayaz, F. and Jelodar, N.A.B. (2007). Correlation and path coefficient analysis of yield and yield components of chickpea (Cicer arietinum L.) under dry land condition in the West of Iran. Asian Journal of Plant Science. 6(7): 1151- 1154.

  • Kumar, S., Suresh, B.G., Kumar, A. and Lavanya, G.R. (2019). Genetic Variability, Correlation and Path Coefficient Analysis in Chickpea (Cicer arietinum L.) for Yield and its Component traits. International Journal of Current Microbiology and Applied Science. 8(12): 2341-2352.

  • Robinson, H.F., Comstock, R.E. and Harvey, P.H. (1951). Genotypic and phenotypic correlations in corn and their implications in selection. Agronomy Journal. 43: 262-267.

  • Kuldeep, R., Pandey, S., Babbar, A. and Mishra, D. K. (2014). Research Note Genetic variability, character association and path coefficient analysis in chickpea grown under heat stress conditions. Electronic Journal of Plant Breeding, 5(4): 812-819.

  • Pandey, S., Payasi, D., Nair, S. K. and Pandey, R. L. (2010). Selection indices for higher seed yield in rainfed and irrigated chickpea (Cicer arietinum L.). International Journal Plant Sciences, 5(2): 649-654.

  • Hama and S. J. (2019). Correlation and Path Coefficient Analysis for Seed Yield and Yield Components in Chickpea under Rainfed Condition.Journal of Kerala forAgricultural Sciences, 6(1).

  • Hasan, M. T. and Deb, A. C. (2014).Estimates of direct and indirect effects between yield and yield components and selection indices in chickpea (Cicer arietinum L.). Tropical Research, 1(2): 65-72.

  • Hasan, M. T. and Deb, A. C. (2017). Assessment of genetic variability, heritability, character association and selection indexes in chickpea (Cicer arietinum L.). International Journal Biosciences, 10(2): 111-129.

  • Jagadish, N. and Jayalakshmi, V. (2015). Research Note Character association among physiological and yield attributes in kabuli chickpea (Cicer arietinum L.). Electronic Journal of Plant Breeding. 6(1): 326-330.

  • Jha, U. C., Basu, P. S. and Singh, D. K. (2015). Genetic variation analysis of chickpea genotypes based on quantitative traits under high temperature stress. International Journal Bio resources Stress Management, 6: 700-706.

  • Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variations in Soybean. AgronomyJournal,47: 314-318.

  • Johnson, P.L., Sharma, R.N. and Nanda, H.C. (2016). Characters association in chickpea (Cicer arietinum L.) under rice based cropping system. Progressive Research an International Journal, 11(9): 5891- 5894.

  • Joshi, P., Yasin, M. and Sundaram, P. (2018). Genetic Variability, Heritability and Genetic Advance Study for Seed Yield and Yield Component Traits in a Chickpea Recombinant Inbred Line (RIL) Population. International Journal Pure Application Biosciences, 6(2): 136- 141.

  • Younis, N., Hanif, M., Sadiq, S., Abbas, G., Asghar, MJ. and Haq, M.A. (2008). Estimates of genetic parameters and path analysis in lentil (Lens culinaris Medik). Pakistan Journal of Agricultural Science. 45(3): 44-48.


Abstract Views: 175

PDF Views: 0




  • Genetic Variability, Correlation and Path Coefficient Analysis for yield and its components traits in Chickpea (Cicer arietinum L.)

Abstract Views: 175  |  PDF Views: 0

Authors

Gandam Nikita
Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P.- 211007, India
G. M. Lal
Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P.- 211007, India

Abstract


Chickpea is a crucial annual crop widely cultivated in semi-arid tropics. It is one of the most important pulse crops in India. Variability may be a greater need for initiating a breeding program for yield and yield contributing traits. A total of 30 lines, along with a check, were evaluated in Randomized Block Design (RBD) during Rabi 2020-21. Highest seed yield per plant was recorded by PHULE 4-5. All the traits showed significant variation among the lines. Number of seeds per plant, seed yield per plant, number of pods per plant showed high Genotypic Coefficient of Variation (GCV) and Phenotypic Coefficient of Variation (PCV), whereas seed index, number of pods per plant, number of seeds per pod, showed moderate GCV and PCV. Traits exhibiting high heritability coupled with genetic advance as percent of mean suggest that the traits are governed by additive gene action, equal contribution of additive and non-additive gene action respectively. Genotypic correlation coefficient analysis revealed that seed yield per plant showed highly significant and positive association with harvest index (0.930**). Phenotypic correlation coefficient analysis revealed that seed yield per plant showed significant and positive association with number of pods per plant (0.493**), biological yield (0.457**), seed index (0.425**) and harvest index (0.362**). The path analysis results showed that positive and direct on grain yield was exhibited by harvest index, days to maturity, number of secondary branches per plant, number of pods per plant, biological yield per plant, seed index, days to 50% pod setting and seed index.


Keywords


Chickpea, Genetic variability, GCV, PCV, Correlation analysis and path analysis.

References