Abstract
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 Ri and Li as well as between environmental variance S2xi 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 σ2i. This may be worthwhile, if certain statistical assumptions do not hold, particularly if significance testing is needed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
