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The Scientific World Journal
Volume 2013, Article ID 489583, 8 pages
http://dx.doi.org/10.1155/2013/489583
Research Article

Establishing an Efficient Way to Utilize the Drought Resistance Germplasm Population in Wheat

1Seed Science Center, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
2Shandong Crop Germplasm Center, Shandong Academy of Agricultural Sciences, Jinan 250100, China

Received 8 March 2013; Accepted 10 April 2013

Academic Editors: J. Huang and Z. Wang

Copyright © 2013 Jiancheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Drought resistance breeding provides a hopeful way to improve yield and quality of wheat in arid and semiarid regions. Constructing core collection is an efficient way to evaluate and utilize drought-resistant germplasm resources in wheat. In the present research, 1,683 wheat varieties were divided into five germplasm groups (high resistant, HR; resistant, R; moderate resistant, MR; susceptible, S; and high susceptible, HS). The least distance stepwise sampling (LDSS) method was adopted to select core accessions. Six commonly used genetic distances (Euclidean distance, Euclid; Standardized Euclidean distance, Seuclid; Mahalanobis distance, Mahal; Manhattan distance, Manhat; Cosine distance, Cosine; and Correlation distance, Correlation) were used to assess genetic distances among accessions. Unweighted pair-group average (UPGMA) method was used to perform hierarchical cluster analysis. Coincidence rate of range (CR) and variable rate of coefficient of variation (VR) were adopted to evaluate the representativeness of the core collection. A method for selecting the ideal constructing strategy was suggested in the present research. A wheat core collection for the drought resistance breeding programs was constructed by the strategy selected in the present research. The principal component analysis showed that the genetic diversity was well preserved in that core collection.