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本研究对29个籼稻品种,10个主要数量性状的二年试验资料计算了遗传相关系数矩阵(R_?)、表型相关系数矩阵(R_?)、环境相关系数矩阵(R_e)和相关遗传力矩阵(R_H)。比较了由这四种相关矩阵计算的特征根的信息浓缩速度和特征向量的稳定性。结果表明:由遗传相关系数矩阵解得的特征根信息浓缩速度最快,特征向量的稳定性最好,而由环境相关系数矩阵解得的特征根信息浓缩速度最慢,特征向量的稳定性最差。
In this study, we calculated the genetic correlation coefficient matrix (R_?), The phenotypic correlation coefficient matrix (R_?), The environmental correlation coefficient matrix (R_e) and the related heritability of two indica rice varieties and 10 major quantitative traits. Matrix (R_H). The speed of information enrichment and the stability of eigenvectors of eigenvalues calculated by these four correlation matrices are compared. The results show that the eigenvalue information obtained by the genetic correlation coefficient matrix is the fastest and the eigenvector has the best stability, while the eigenvalue information obtained by the matrix of environmental correlation is the slowest in concentration, and the stability of eigenvectors is the most difference.