杏16个主要农艺性状的多元统计分析
Multivariate Statistical Analysis for Sixteen Main Agronomic Traits of Apricots

研究选取具有代表性的17份杏品种，应用相关性分析、主成分分析与Q型聚类分析对杏的16项主要农艺性状进行多元统计研究。结果表明，提出的5个反映杏主要农艺性状的主成分，累积方差贡献率达到87.17%。果实产量与叶长、叶宽呈极显著和显著正相关，而果实单果重与出核率之间呈极显著负相关。通过聚类分析将17个杏品种分为3组，第1组包括10个品种，核仁干重和出核率均值最高，但冠幅、树高和地径最小；第2组冠幅、树高、地径及单果果重最大；第3组叶长、叶宽、果实产量和出仁率最高。研究结果为杏品种的栽培与选育提供了数据参考。
Multivariate statistical analysis, such as correlation, Q-type clustering and principal component analysis was adopted to study 16 main agronomic traits of 17 apricot varieties to provide basic data for breeding and fine variety selection. Five principal components were put forward to reflect 16 main agronomic traits of apricots with the cumulative variance contribution of 87.17%. Highly significant positive and significant positive correlations were observed between fruit yields and leaf length and leaf width, respectively, and highly significant negative correlations between single fruit weight and stone rate. Seventeen varieties were classified into three groups by clustering analysis. The first group included 10 varieties, which exhibited the highest mean value of dry weight of kernels and the rate of outputting of cores, but smallest crown diameter, tree height and ground diameter. The second group demonstrated the largest crown diameter, tree height, ground diameter and weight of single fruit. And the third group was characterized by their longest leaf length and width, high fruit yield and the highest rate of outputting of kernels. These results would provide reference data for cultivation and breeding of apricots