摘要： 本研究利用四十个陆地棉亲本,经两年异地试验证明,以表型相关(r_p)矩阵代替遗传相关矩阵(r_g)作为距离分析的基础转换矩阵,不仅从统计角度分析是可行的;而且从应用角度分析,前者也具有相关结果一致性好,性状标准化合理,相关矩阵不会出现不正定性,年份之间可保证参与距离分析的性状完全一致,D~2估测结果一致性及聚类分析结果相符率高等优点.最长距离法的聚类范围大,并类合理且灵敏度高,聚类结果实用价值高,建议以表型相关矩阵(P)—主成份转换(C)—欧氏距离(E)—最长距离法(L).即PCEL法,作为棉花杂交亲本距离估测与聚类分析的适宜方法.

关键词: 棉花, 相关矩阵, 距离估测, 聚类分析

Abstract: Two一years experiment data using 40 parents of upland cotton (G, hir- sutum L,)with 14 measured characters demonstrated that the phenotypic mean correlation (RP) matrix can be used to replace the Re matrix as the foundation of the distance estimation of the paraents, The former had a good stablity in two years, which character standardizing was rational and was always positive definite matrix, The character can be used in the ana- lysis of phenotypic distance (DPZ)absolutely sameness,During two years，using the Rp had higher similarity of DPZ and cluster results than the Rg, Compared to the different methods of cluster analysis, the longest distance method had a larger range of the cluster, higher sensitivity, rational result of the clus- ter and higher using value on the cotton breeding, The authers suggested that using phenotypic correlation matrix (P)一principal components transformation (C)-Euclidean distance(E)-the longest distance method of clustering(L), i, e, PCEL method be the best way for the distance estimation and cluster analysis of the cotton paraents,

Key words: Cotton, Correlation matrix, Distance estimation, Cluster analysis