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Journal of Progressive Agriculture
Year : 2011, Volume : 2, Issue : 1
First page : ( 37) Last page : ( 39)
Print ISSN : 2229-4244.

Studies on genetic divergence in exotic and indigenous lines of bread wheat (Triticum aestivum L.)

Soni Sandeep Kumar1,*Ph.D. Scholar, Jain R.1Ph.D. Scholar, Singh B. N.2Professor, Yadav V.K.3Professor

Department of Genetics & Plant Breeding, N.D. University of Agriculture and Technology, Kumarganj, Faizabad-224 229 (Uttar Pradesh) India.

1C.S. Azad Univ. of Agril. & Tech., Kanpur

2Narendra Deva Univ. of Agril. & Tech., Faizabad-224229.

3Chandra Shekhar Azad University of Agri. & Tech.Kanpur-208002.

*Email: Sandeepsoni71187@gmail.com

Online published on 19 March, 2012.


One hundred sixty three exotic and indigenous wheat lines obtained from Directorate of Wheat Research, Karnal (Haryana) were screened at the Main Experimental station N.D. University Faizabad during Rabi 2008–09 along with three checks (DBW-14, DBW-17 and GW-322) for the eleven quantitative characters to study genetic divergence by Non-hierarchical Euclidean cluster analysis (Beale, 1969; Spark, 1973). The whole genotypes were grouped in to 7 non-overlapping clusters. Clustering pattern of genotypes showed no definite relationship between genetic divergence and geographical distribution of genotypes. The highest genetic divergence was observed between cluster I and VII, whereas cluster II and III were closest one. On the basis of genetic divergence and mean performance, eighteen diverse and superior genotypes being exceptionally better for one or more traits and reasonable for other, as compared to checks, were selected. To accomplish success in wheat improvement programme it is necessary to collect information on genetic variability as it provides the basis for an efficient selection of genotypes for hybridization. These genotypes may be useful in multiple crossing or biparental mating system to find out transgressive segregants and plant improvement.



Wheat, Genetic divergence, Exotic and Indigenous lines and clustering pattern.


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