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１００个小麦品种多个品质性状间的相关分析结果指出，３个品质性状与４个、６个和８个品质性状间的相关系数分别为０．９００５、０．８７４７和０．８３４６，差异都达到了极显著水平；４个品质性状与６个和８个品质性状间的相关系数分别为０．９７１５和０．９５１９；６个品质性状与８个品质性状间的相关系数为０．９７６８，差异也达到了极显著水平。这一结果指出，进行小麦品质分析时，用３个品质性状的分析结果基本上可以代替４个、６个和８个品质性状结果；同样用４个品质性状的分析结果基本上可以代替６个和８个品质性状分析结果；用６个品质性状分析结果基本上可以代替８个品质性状结果。由于精简了分析项目，不仅有较大的社会效益和经济效益，而且在小麦育种实践中应用，还可以大大地提高育种效率。
Correlation analysis of several quality traits of 100 wheat cultivars showed that the correlation coefficients of 3 quality traits with 4, 6 and 8 quality traits were 0.9005, 0.8747 and 0.8346, respectively Reached the extremely significant level. The correlation coefficients of four quality traits and six and eight quality traits were 0.9715 and 0.9519 respectively. The correlation coefficient of six quality traits and eight quality traits was 0.9768, The difference also reached a very significant level. This result indicates that the results of the analysis of three quality traits can basically replace the results of four, six and eight quality traits during the analysis of wheat quality. In the same way, the analysis results of four quality traits can basically replace 6 And eight quality traits analysis results; using six quality traits analysis results can basically replace the eight quality traits results. As a result of streamlining the analysis project, not only have greater social and economic benefits, but also applied in wheat breeding practice, but also can greatly improve the breeding efficiency.