Indian Journal of Agricultural Research

  • Chief EditorT. Mohapatra

  • Print ISSN 0367-8245

  • Online ISSN 0976-058X

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  • SJR 0.293

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Indian Journal of Agricultural Research, volume 53 issue 5 (october 2019) : 542-547

Genetic variability, heritability and genetic advance studies in pea (Pisum sativum L.) for quantitative characters

Shalini Singh, Vinay Verma, B. Singh, V.R. Sharma, Mukesh Kumar
1Department of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India. 
Cite article:- Singh Shalini, Verma Vinay, Singh B., Sharma V.R., Kumar Mukesh (2019). Genetic variability, heritability and genetic advance studies in pea (Pisum sativum L.) for quantitative characters. Indian Journal of Agricultural Research. 53(5): 542-547. doi: 10.18805/IJARe.A-5245.
An experiment was conducted to determine the magnitude of genetic variability, heritability and genetic advance as per cent of mean among fifty-five genotypes of pea using eleven quantitative characters viz., days to 50% flowering, plant height, number of first fruiting node, length of first fruiting node, number of pods per plant, length of pod, width of pod, number of seeds per pods, green pod yield per plant, seed yield per plant and shell weight per plant. The results of ANOVA showed significant differences among the genotypes for all the characters indicating the existence of wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) was quite higher than the corresponding genotypic coefficient of variation (GCV). High value of GCV and PCV was recorded for seed yield per plant, number of pods per plant, shell weight per plant, green pod yield per plant, plant height, length of first fruiting node and number of first fruiting node. All the characters showed high magnitude of heritability in broad sense (>60%) ranged from 83.91% (width of pod) to 98.84% (number of pods per plant). Further, high heritability coupled with high genetic advance as percentage of mean (>20%) was observed for all the characters except days to 50 % flowering suggesting that these characters are genetically controlled by additive (heritable) gene action and can be utilized for pea improvement through selection. The genotypes which showed superior results for the objectives under study were VRP-383, VRP-311, VRP-320 and Kashi Shakti and can be utilized for further breeding programme of pea.
  1. Barcchiya, J., Naidu, A.K., Mehta, A.K., Upadhyay, A. (2018). Genetic variability, heritability and genetic advance for yield and yield components in pea (Pisum sativum L.). International Journal of Chemical Studies, 6(2): 3324-3327
  2. Burton, G.W. (1952). Quantitative inheritance in grasses. Proceeding of 6th International Grassland Congress, 1:277-283.
  3. Dhama, S.K., Tyagi, N.K., Singh, P.B. (2010). Interrelationship and path analysis for seed yield and its component characters under eight environments in pea (Pisum sativum L.). Legume Research, 33 (2): 87-94.
  4. Georgieva, N., Nikolova, I., Kosev, V. (2016). Evaluation of genetic divergence and heritability in pea (Pisum sativum L.). Journal of BioScience and Biotechnology, 5(1):61-67.
  5. Ghosh, K.P., Islam, A.K.M.A., Mian, M.A.K., Hossain, M.M. (2010). Variability and character association in F2 segregating population of different commercial hybrids of tomato (Solanum lycopersicum L.). Journal of Applied Science and Environment, 4:91-95.
  6. Goulden, O.C. (1959). Methods of Statistical Analysis.2nd Edition, Willey and Sons, Inc., New York.
  7. Guleria, S., Chongtham, N., Dua, S. (2009). Genetic variability, correlation and path analysis studies in pea (Pisum sativum L.). Crop Research (Hisar), 38:179-183.
  8. Habtamu, S. and Million, F. (2013). Multivariate analysis of some Ethiopian field pea (Pisum sativum L.) Genotypes. International Journal of Genetics and Molecular Biology, 5(6): 78-87.
  9. Hanson, C.H., Robinson, H.P., Comstock, R.E. (1956). Biometrical studies of yield in segregating populations of Korean Lespedeza. Agronomy Journal, 48 (5): 268-272.
  10. Johnson, H.W., Robinson, H.F., Comstock, R.S. (1955). Estimation of genetic and environmental variability in soyabean. Agronomy Journal, 41 (6): 314-318. 
  11. Kassaye, N. (2006). Studies on genetic divergence in common bean (Phaseolus vulgaris L.) introduction of Ethiopia. MSc Thesis, Addis Ababa University of Life Science, Addis Ababa, Ethiopia.
  12. Katiyar, S., Singh, H.C., Verma, M.C., Katiyar, M., Singh, R.K. (2014). Genetic analysis for of heterotic crosses in Table Pea (Pisum sativum L.). Trends in Bioscience, 7(9):733-735. 
  13. Katoch, V., Singh, P., Mayanglambam, B.D., Sharma, A., Sharma, G.D., Sharma, J.K. (2016). Study of genetic variability, character association, path analysis and selection parameters for heterotic recombinant inbred lines of garden peas (Pisum sativum var. Hortense L.) under mid-hill conditions of Himachal Pradesh, India. Legume Research, 39(2):163-169. 
  14. Kumar, D., Malik, S., Singh, S.K., Kumar M. (2013). Genetic variability, heritability and genetic advance for seed yield and yield components in garden pea (Pisum sativum L.). Vegetos, 26 (1):182-184.
  15. Kumar, M., Jeberson, M.S., Singh, N.B., Sharma, R. (2017). Genetic analysis of seed yield and its contributing traits and pattern their inheritance in Field pea (Pisum sativum L.). International Journal of Current Microbiology and Applied Sciences, 6(6):172-181. 
  16. Kumar, R., Kumar, M., Dogra, R.K., Bharat, N.K. (2015). Variability and character association studies in garden pea (Pisum sativum var. hortense L.) Legume Research, 38 (2):164-168.

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