The 7 agronomic characters of 94 ramie germplasm from China were investigated through principal component analysis and cluster analysis in order to identify the diversity of ramie germplasm and find the benefit genes. The results of principal components analysis showed that the 7 traits were simplified into 4 principal components( over 90.35% accumulated contribution). The first principal component was given priority to plant height,stem diameter,effective strain rate. The coefficients of the second principal component were all positive,which could be regarded as the comprehensive reflection of the agronomic characters of ramie germplasm. The third principal component was given priority to single stump points number and total number. The fourth principal component was given priority to the influence of the effective strain rate. Using system clustering analysis,94 ramie varieties were clustered into three categories at the genetic distance 3.79,including high plant and thin stem,short plant and thick stem,and a special type. In this study,the agronomic traits of ramie germplasm resources were simplified into 4 principal component factors,and 94 ramie varieties were divided into three categories,which provided a reference for the breeding of high quality ramie varieties and their multi-functional application.
Journal of Agricultural Science and Technology
principal component analysis