作者: B. Widén , S. Andersson , G-Y. Rao , M. Widén
DOI: 10.1046/J.1420-9101.2002.00465.X
关键词: Variance (accounting) 、 Principal component analysis 、 Biology 、 Statistics 、 Genetic drift 、 Covariance 、 Genetics 、 Quantitative genetics 、 Matrix (mathematics) 、 Population 、 Divergence
摘要: The present study of Brassica cretica had two objectives. First, we compared estimates population structure (Qst) for seven phenotypic characters with the corresponding measures allozyme markers (Fst) to evaluate supposition that genetic drift is a major determinant evolutionary history this species. Secondly, (co)variance (G) matrices five populations examine whether long isolation associated large, consistent differences in structure. Differences between Fst and Qst were too small be declared significant, indicating stochastic processes have played role structuring quantitative variation Comparison using common principal component (CPC) method rejected hypothesis G differed by simple constant proportionality: most involved rather than eigenvalues. However, there was strong evidence proportionality comparisons percentage reduction mean-square error (MSE), at least when unusually high included analyses. Although CPC MSE methods provide different, but complementary, views matrix variation, urge caution use as an indicator responsible divergence matrix.