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Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

DOI: 10.18805/IJARe.A-5686    | Article Id: A-5686 | Page : 695-701
Citation :- Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.).Indian Journal of Agricultural Research.2021.(55):695-701
Anuj Kumar, Pooran Chand, Ravi Singh Thapa, Tejbir Singh anujkumar271@gmail.com
Address : Department of Genetics and Plant Breeding, Kisan PG College, Simbhaoli-245 207, Hapur, Uttar Pradesh, India.
Submitted Date : 22-09-2020
Accepted Date : 16-12-2020

Abstract

Background: Wheat (Triticum aestivum L.) an important self-pollinated and hexaploid (2n = 6x = 42) cereal crop belongs to the grass family Gramineae (Poaceae). With the gradual increase in human population, there is a substantial increase in the demands for food requirements. Hence, increasing the wheat production is an important goal to overcome the demand of food. The only alternative is to increase productivity by better crop management techniques and introduction of high yielding varieties. The current study aimed to study the genetic diversity in wheat genotypes for further selection and utilization in breeding programmes and identification of transgressive segregants for genetic improvement in wheat crop. 
Methods: In the field investigation during 2017-2019, forty genotypes were evaluated at research farm of Department of Genetics and Plant Breeding, Kisan P.G. College, Simbhaoli, Hapur (U.P). The observations were recorded on five randomly selected competitive plants from each genotype in each replication and recorded data from each replication was subjected to statistical analysis. 
Result: Significant differences were observed for all the characters studied in both environments (early and late). Highest GCV and PCV were recorded for flag leaf area, number of tillers per plant and grain yield in both environments. Plant height, days to 50% heading and grain yield in early sowing and for plant height, gluten content and grain yield exhibited high heritability estimates in late sowing. Biological yield and harvest index showed positive and significant association with grain yield under both environments. Biological yield and harvest index have positive and direct effect on grain yield in both environments. Forty genotypes were grouped into seven clusters in early sowing and six clusters in late sowing. Maximum inter cluster distance was observed between clusters VI and IV in early sowing and between cluster III and II in Late sowing. Genotypes PBW-34 showed wide genetic diversity in both the environments (early and late sowing). Based on the divergence studies it is suggested that maximum heterosis and good recombinants could be obtained in crosses between the genotypes of clusters which showed highest inter cluster distance and these genotypes can be utilized in crop improvement programmes.

Keywords

ANOVA GCV Genetic divergence Heritability PCV

References

  1. Anonymous (2020). Directorate of Economics and Statistics, Ministry of Agriculture and Farmer Welfare Government of India.
  2. Baye, A., Berihun, B., Bantayehu, M. and Derebe, B. (2020). Genotypic and phenotypic correlation and path coefficient analysis for yield and yield related traits in advance bread wheat (Triticum aestivum L.) lines. Cogent Food Agric. 6: 1-17.
  3. Burton, G.W. and Devane, E.H. (1953). Estimating heritability in tall fescue (Festuca arundiaceae) from replicated clonal material. Agron. J. 45: 478-481.
  4. Chaudhary, R., Kumar, S., Singh, S., Prasad, J., Jeena, A.S. and Upreti, M.C. (2020). Study of genetic parameters and character association in wheat (Triticum aestivum L.). Int. J. Chem. Stud. 8(3): 2312-2315.
  5. Ferede, M. and Worede, F. (2020). Variability, heritability and genetic advance analysis in bread wheat (Triticum aestivum L.) genotypes in Northwestern Ethopia. Int. J. Sust. Agric. Res. 7(2): 56-65.
  6. Gaur, S.C. (2019). Genetic improvement through variability, heritability and genetic advance for grain yield and its contributing traits in wheat (Triticum aestivum L. em Thell). Int. J. Pure App. Biosci. 7(1): 368-373.
  7. Haydar, F.M.A., Ahamed, M.S., Siddique, A.B., Uddin, G.M., Biswas, K.L. and Alam, M.F. (2020). Estimation of genetic variability, heritability and correlation for some quantitative traits in wheat (Triticum aestivum L.). J. Bio-Sci. 28: 81-86.
  8. Jan, N., Shakil, R. and Kashyap, S.C. (2020). Studies on interrelationship and path analysis in wheat (Triticum aestivum L. em Thell) for yield and components traits. Plant Archives. 20(2): 1483-1486.
  9. Johnson, H.W., Robinson, H.E. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybeans. Argon J. 47: 314-318.
  10. Joshi, A.B. and Dhawan, N.L. (1966). Genetic improvement of yield with special reference to self fertilizing crops. Indian J. Genet. 26A:101-113.
  11. Khanal, D., Thapa, D.B., Dhakal, K.H., Panday, M.P. and Kandel, B.P. (2020). Correlation and path coefficient analysis of elite spring wheat lines developed for high temperature tolerance. Environ. Eco. Sci. 4(2): 56-59.
  12. Kumar, S., Chaudhary, A.M., Purushottam, Singh, V., Chauhan, M.P. and Yadav, R.D.S. (2019). Studies of variability, heritability and genetic advance in some quantitative characters in bread wheat (Triticum aestivum L.). J. Pharmocognosy Phytochem. 8(4): 402-404.
  13. Kumari, M., Kumar, M.,Singh, V., Kumar, S.V. and Rathi, M. (2017). Trait association and morphological diversity in wheat (Triticum aestivum L.) genotypes. Electronic J. Plant Breed. 8(2): 534-540.
  14. Mahalanobis, P.C. (1936). On the generalized distances in statistics. Proc. Natl. Sci. India. 2: 49-55. 
  15. Mishra, V., Sharma, A.K. and Chauhan, S. (2019). Genetic variability, heritability and genetic advance in bread wheat (Triticum aestivum L.). Int. J. Curr. Microbiol. App. Sci. 8(7): 2311-2315.
  16. Onwueme, I.C. and Sinha, T.D. (1999). Field crops production in tropical Africa. CTA Publications, Wageningen, pp. 250-266.
  17. Panse, V.G. and Sukhatme, P.V. (1969). Statistical Methods of Agricultural Workers. 2nd Edition, ICAR publication, New Delhi, pp., 381.
  18. Rathod, S.T., Pole, S.P. and Gawande, S.M. (2020). Correlation and path analysis for quality and yield contributing traits in wheat (Triticum aestivum L.). Int. J. Microbiol. App. Sci. 8(6): 456-461.
  19. Saini, P.K., Kumar, S. and Singh, S.V. (2019). Heritability and genetic advance for yield and its contributing traits in bread wheat (Triticum aestivum L.). Int. J. Chem. Stud. 7(3): 3078-3081.
  20. Santosh,J.P. Jaiswal, Singh, A and Gahatyari, N.C. (2019). Genetic diversity analysis in bread wheat (Triticum aestivum L. Em. Thell.) for yield and physiological traits. Int. J. Curr. Microbiol. App. Sci. 8(2): 3059-3068. 
  21. Upadhaya, P., Krishna, S., Thakur, P., Agarwal, N., Yadav, P., Prasad, L.C. and Mishra, V.K. (2020). Identification of genetic variability and diversity in selected wheat (Triticum aestivum L) germplasm under three different dates of sowing. J. Pharmaco. Phytochem. 9(2): 82-86.
  22. Upadhyay, K. (2020). Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum asetivum L.) genotypes. Archi. Agric. Environ. Sci. 5(2): 196-199.
  23. Verma, B.P., Pathak, V.N. and Verma, O.P. (2019). Interrelationship between yield and its contributing traits in wheat (Triticum aestivum L.). Int. J. Curr. Microbiol. App. Sci. 8(02): 3209-3215.

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