International Journal of Plant Sciences

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

Genetic Divergence Analysis in Bread Wheat (Triticum aestivum L.)


Affiliations
1 Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (U.P.), India
2 Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (U.P.), India
     

   Subscribe/Renew Journal


Fifty genotype of wheat were evaluated to access the genetic divergence for eleven quantitative traits. The D2 cluster analysis grouped 50 genotypes in to eight clusters. This indicates existence of high degree of genetic diversity in the genotypes evaluated. Analysis of variance show significant difference among all the genotype under study. Maximum inter-cluster distance was observed between cluster VII with all. Cluster VIII holds first rank in yield per plant, test weight and plant height, cluster VII holds first rank in plant height, number of reproductive tillers per plant, number of spikelet per spike. Therefore, crosses between member of cluster separated by high inter-cluster distance are likely to throw desirable segregants. Thus, crosses between promising lines belonging to clusters pairs having high inter-cluster distance may be attempted for isolating desirable recombinants for grain yield.

Keywords

Cluster, D2 Analysis, Genetic Variation, Inter Cluster Distance, Transgressive Segregants.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Ali, Tabinda and Bhardwaj, Dinesh Narayan (2015). Study of genetic divergence in wheat (Triticum aestivum L.) Central Agriculture Communication, 3(2) : 1-6.

  • Anonymous (2012). FAOSTAT database. www.faostat.com

  • Jeena, A.S. and Singh, I.S. (2002). Genetic divergence analysis in wild lentils. Legume Res., 25 (3):175-179.

  • Lal, B.K., Ruchig. M. and Upadhyay, A. (2009). Genetic variability, diversity and association of quantitative traits with grain yield in bread wheat (Triticum aestivum L.). Asian J. Agric. Sci., 1 (1): 4-6.

  • Rao, C.R. (1952). Advance statistical methods in biometrics research. Hanfner Pub. Co. Darion. pp. 371-378.

  • Singh, Praveen and Salgotra, S.K. (2014). Genetic divergence study in improved bread wheat varieties (Triticum aestivum). African J. Agric. Res., 9(4) : 507-512.

  • Singh, S.P. and Dwivedi, V.K. (2002). Genetic divergence in wheat (Triticum aestivum L.). New Agriculturist, 13 (1/2): 5-7.

  • Verma, A.K., Singh, P.K., Vishwakarma, S.R. and Tripathi, R.M. (2006). Genetic divergence in wheat (T. aestivum L.). Farm Sci. J., 15 (1) : 32-34.


Abstract Views: 212

PDF Views: 0




  • Genetic Divergence Analysis in Bread Wheat (Triticum aestivum L.)

Abstract Views: 212  |  PDF Views: 0

Authors

Manisha Saini
Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (U.P.), India
Shweta
Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (U.P.), India
Sunil Kumar Paswan
Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (U.P.), India

Abstract


Fifty genotype of wheat were evaluated to access the genetic divergence for eleven quantitative traits. The D2 cluster analysis grouped 50 genotypes in to eight clusters. This indicates existence of high degree of genetic diversity in the genotypes evaluated. Analysis of variance show significant difference among all the genotype under study. Maximum inter-cluster distance was observed between cluster VII with all. Cluster VIII holds first rank in yield per plant, test weight and plant height, cluster VII holds first rank in plant height, number of reproductive tillers per plant, number of spikelet per spike. Therefore, crosses between member of cluster separated by high inter-cluster distance are likely to throw desirable segregants. Thus, crosses between promising lines belonging to clusters pairs having high inter-cluster distance may be attempted for isolating desirable recombinants for grain yield.

Keywords


Cluster, D2 Analysis, Genetic Variation, Inter Cluster Distance, Transgressive Segregants.

References