ISSN:
1573-5060
Keywords:
genotype-environment interaction
;
phenotypic stability
;
stability parameter
;
rank correlation
;
significance test
Source:
Springer Online Journal Archives 1860-2000
Topics:
Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
Notes:
Summary 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 s2 di, the nonparametric measures Si (1), Si (2), and two new measures Ri and Li as well as between environmental variance S2 xi and regression coefficient bi. The results suggest that Si (1), Si (2), Li, and Ri can be used as alternatives to Wi and the stability variance σ2 i. This may be worthwhile, if certain statistical assumptions do not hold, particularly if significance testing is needed.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00046052
Permalink