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Cluster Analysis of the Main Agronomic Traits of 30 Spring Wheat Strains
Author(s): Wang Huiyan, Shi Yugang, Ma Haoxiang, Dong Fanfan, Sun Daizhen, College of Agriculture, Shanxi Agricultural University
Pages: 60-
64
Year: 2014
Issue:
18
Journal: Chinese Agricultural Science Bulletin
Keyword: spring wheat; agronomic characters; principal component analysis; clustering analysis;
Abstract: In order to make efficient use of spring wheat germplasm resources and provide material for wheat cultivars breeding, 9 agronomic traits of 30 testing materials were tested for principal component analysis and cluster analysis. The results showed that 7 agronomic traits of effective number of tillers, biological yield, grain yield per plant, grain number per spike, spike length, thousand-grain weight and plant height have a high coefficient of variation over 10%, and they were the main agronomic traits that had an effect on the characteristics of spring wheat. Material could be divided into 3 categories, and the materials in the second category had excellent synthetic performance, the biological yield and grain yield per plant were large,thousand-grain weight and grain number per spike were moderate, so they were good breeding materials with ideal comprehensive characters.
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