Research Report

Assesment of Genetic Diversity in Wheat Synthetic Double Haploids for Yield and Drought Related Traits Through Factor and Cluster Analyses  

Imran Javed , Shahid Iqbal Awan , Hafiz Muhammad Ahmad , Aurangzeb Rao.
Department of Plant Breeding & Molecular Genetics, Faculty of Agriculture, The University of Poonch Rawalakot, Azad Kashmir, Pakistan
Author    Correspondence author
Plant Gene and Trait, 2016, Vol. 7, No. 3   doi: 10.5376/pgt.2016.07.0003
Received: 03 May, 2016    Accepted: 17 May, 2016    Published: 19 May, 2016
© 2016 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Imran J., Shahid I.A., Hafiz M.A., and Aurangzeb R., 2016, Assesment of genetic diversity in wheat synthetic double haploids for yield and drought related traits through factor and cluster analyses, Plant Gene and Trait, 7(3): 1-9 (doi: 10.5376/pgt.2016.07.0003)


Wheat is an important cereal crop of the world and its productivity has been limited by abiotic stresses. An experiment was conducted at the Department of Plant Breeding and Molecular Genetics, Faculty of Agriculture, The University of Poonch Rawalakot, to assess the genetic diversity for drought tolerance in synthetic wheat double haploids. On the bases of cluster analyses, the genotypes were divided into five main groups. Highest genetic distance was observed between double haploid1 and double haploid 17. Maximum Eigen value was obtained by factor I followed by factor II while it remained minimum in factor V. From factors analysis and on the base of specific numbers larger than 1, five factors were identified and they all together justified 83.22% variation among the studied characters. Maximum variance 37.94 was observed by factor I, while factor II, III, IV and V showed 16.09, 12.11, 8.73, 8.34% variance.

Wheat; Double Haploid; Cluster analyses; Morphological traits
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