小麦主要性状与产量的通径和灰色关联度分析

Path Coefficent Analysis and Grey Correlation Analysis between Main Characters and Yield in Wheat

利用通径分析法和灰色关联分析法,对小麦的主要性状与产量进行了分析。通径分析结果表明,各性状对产量贡献率大小依次为:有效穗数>穗粒数>株高>小穗数>穗长>千粒重。灰色关联分析的结果表明,小麦各性状的重要性排序为:有效穗数>穗粒数>千粒重>株高>穗长>小穗数。试验通径分析中得到的贡献率大小及次序与灰色关联分析得到的关联度有所不同,但有效穗数、穗粒数均为最重要的2个性状,对提高产量起重要作用。

The data from main characters and yield in wheat were used to conduct PathCoefficent Analysis （ PCA ） and Grey Correlation Analysis （ GRA ） .The PCA results showed that the direct contribution rate of each character to the yield was ranked in size： effective panicle number〉 kernel number per panicle 〉 plant height〉spike number〉panicle length〉1000-grain weight.The GRA results indicated that the order of the importance among all characters was ranked： effective panicle number〉 kernel number per panicle〉1000-grain weight〉plant height〉panicle length〉spike number. In the experiment, the direct effects from PCA and GRA differed in the size and order. Among all main characters, effective panicle number and kernel number per panicle would play the most important roles in improving yield of wheat.