Premium
Repeatability of Some Statistical Measures of Phenotypic Stability —
Author(s) -
Léon J.,
Becker H. C.
Publication year - 1988
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/j.1439-0523.1988.tb00228.x
Subject(s) - repeatability , statistics , coefficient of variation , stability (learning theory) , linear regression , mathematics , biology , standard deviation , correlation coefficient , rank correlation , correlation , computer science , geometry , machine learning
The objective of this study‐ was to evaluate whether different statistical measures of phenotypic stability vary in their repeatability. Eight multi year and multi location variety tests of wheat, barley and oat were analysed separately for each year. Single year data of yield, of response parameters: environmental variance (S 2 3 and coefficient of regression (b), and of stability parameters: deviation mean squares (S 2 3 ), coefficient of determination (r 2 ), ecovalence (W), and the nor, parametric measure variance of ranks (S i 4), were correlated with multi year, multi location results. Repeatability of single year results was highest for yield, where rank correlation coefficients amounted to about 0.80. s 2 x and b showed medium values of nearly 0.55 The stability parameters s 2 d , r 2 , W and S i 4 did not differ in their repeatability. Respective correlation coefficients possessed values of approximately 0.40 and were very variable from experiment to experiment. Reliability of single year results was especially low for experiments with high varieties × years interactions. Single year results of the examined variety tests could not serve as a basis to quantify phenotypic stability even if more than ten locations were involved.