Rank correlation among parametric and nonparametric measures of phenotypic stability

摘要

There is an increasing number of stability parameters for genotypes grown in different environments. It is therefore useful to study the statistical relations between these parameters. One approach is the calculation of rank correlations between different stability parameters in empirical data sets. In the data analysed there are high rank correlations between ecovalence Wi, deviation mean square s2di, the nonparametric measures Si(1), Si(2), and two new measures Riand Lias well as between environmental variance S2xiand regression coefficient bi. The results suggest that Si(1), Si(2), Li, and Rican be used as alternatives to Wiand the stability variance σ2i. This may be worthwhile, if certain statistical assumptions do not hold, particularly if significance testing is needed