《Table 1 Quality traits of rice varieties》

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《Principal Component and Cluster Analysis of Quality Traits in Ningxia Rice》

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The principal component analysis and cluster analysis were performed with SPSS.At first，six rice quality traits were subjected to principal component analysis，to establish principal component equations.During the analysis，the standardization of various quality traits adopted following formula x=（x-x/S）（wherein x is the mean value，and S is the standard deviation，as shown in Table 1） .Then，the values of principal components were calculated using the established principal component equations.With these principle component values as indices，clustering analysis was performed to the 47 varieties by Ward’s method.According to the results of cluster analysis，rice quality of various rice varieties was comprehensively evaluated.Specific evaluation standards were formulated according to high-quality rice standards GB/T17891-1999 established by State Bureau of Quality Technical Supervision and appearance evaluation standards of Ningxia local high-quality rice.The quality traits were graded and scored 0-3 points，as shown in Table 2.