The sheep populations were studied with Q-type Hierarchical Clustering Method, and characters of the populations were used to construct the principal component, then, the principal component values were analyzed with ...The sheep populations were studied with Q-type Hierarchical Clustering Method, and characters of the populations were used to construct the principal component, then, the principal component values were analyzed with R-type Hierarchical Clustering Method, which might display the genetic differentiation among populations and conform to the result of the known sheep phylogenetic system in China. Characters of the populations were studied with Q-type Hierarchical Clustering Method. The elevation and average annual rainfall were found to be important characters. The ecology factor is also an important character for the breed classification.展开更多
基金supported by International Cooperative Item of the Nationa1 Natura1 Science Foundation of China(30310103007).
文摘The sheep populations were studied with Q-type Hierarchical Clustering Method, and characters of the populations were used to construct the principal component, then, the principal component values were analyzed with R-type Hierarchical Clustering Method, which might display the genetic differentiation among populations and conform to the result of the known sheep phylogenetic system in China. Characters of the populations were studied with Q-type Hierarchical Clustering Method. The elevation and average annual rainfall were found to be important characters. The ecology factor is also an important character for the breed classification.
