基于灰色关联度分析法和聚类分析法筛选小麦高产优质新品种(系)的研究

为了给筛选和评价高产优质小麦新品种提供多元化的分析方法,以黄淮南片试验中16个小麦新品种(系)为试验材料,用灰色关联度分析、聚类分析和相关性分析对其农艺性状、产量、品质进行评价。结果表明,运用灰色关联度分析法的排序结果和产量排序结果大体上一致;生育期、饱满度、株高等指标与参考数列关联度最大,关系最紧密;相关性分析表明千粒重是关乎产量与品质的一项重要指标;结合灰色关联度分析和聚类分析结果,筛选出产量、品质均较好的3个小麦新品种(系),分别为’轮选146’、’安麦1350’、’苑丰12’。这两种方法能够准确、全面地分析小麦新品种(系),为高产优质小麦的选育提供了多元化的分析方法。

Screen of High Yield and Quality Wheat Varieties (lines) Based on Gray Relational Degree Analysis and Cluster Analysis

To provide diversified analysis methods for screening and evaluating new wheat varieties (lines) with high yield and quality, the gray relational degree analysis, cluster analysis and correlation analysis were used to evaluate agronomic traits, yields and qualities of 16 wheat varieties (lines) from the test in the southern Huang-Huai region. The results showed that the varieties’ (lines) ranking based on gray relational degree analysis was consistent with the yield ranking. The growth period, plumpness and plant height had the highest correlation degree with standard series and the relationship was the closest. The correlation analysis showed that 1000-grain weight was an important index related to both yield and quality. Combining gray relational degree analysis results with cluster analysis results, three new high yield and quality wheat varieties (lines) (‘Lunxuan146’, ‘Anmai1350’ and ‘Yuanfeng12’, respectively) were screened. The two methods could be used to analyze wheat varieties (lines) accurately and completely, and provide diversity analysis methods for breeding high yield and quality wheat.