| In order to use genetic resources effectively in wheat breeding and reduce blindness in making cross combination, this study was to test the agronomic performance of 43 spring wheat cultivars. Principal component and cluster analysis were conducted based on the agronomic traits such as plant height, spike length, number of spikelets per spike, number of fertile spike, kernel number per spike, heading date, flowering date, maturation date, kernel number per plant, kernel weight per plant, and thousand kernel weight. The results showed that the 11 agronomic traits were composed of 5 independent principal components, which included grain yield factor, maturation factor, fertile spike number, spike length, and thousand kernel weights. The cumulative contribution of the 5 factors was 90.05%. Through cluster analysis based on the five principal components, the spring wheat cultivars in the present study were divided into 7 groups.and the yield traits of group 4 were the best. The cluster analysis result was generally agreed with the pedigree of these cultivars. |
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