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SAS-STABLE: Stability Analyses of Balanced and Unbalanced Data

Dep. of Agronomy, Louisiana Agric. Exp. Stn., Louisiana State Univ. Agric. Ctr., Baton Rouge. LA 70803-2110

^* Corresponding author (mkang{at}agctr.lsu.edu).

Stability concept is often used to analyze genotype x environment interaction (GxE), by partitioning GxE variance into stability variance components for each genotype. A significant stability variance for a particular genotype indicates lack of stability. An existing computer program (STABLE) calculates the yield-stability (YS_i) statistic balanced data sets only. Therefore, we developed a program (SAS-STABLE) that calculates stability variances for balanced as well as unbalanced data sets and is based on the restricted maximum likelihood method. Data may be stored in SAS files or other files that can be retrieved by SAS commands and statements used for data management. This program is for the Windows version of SAS for IBM-PC compatible computers; a mainframe version is also available. Variance components are solved by iterating on some starting values. Prior knowledge of the values of variances would reduce number of iterations to reach convergence and save execution time. SAS-STABLE can easily incorporate one or more covariates into the model and remove their effects from GxE variances for each genotype. Variances are tested based on the hypothesis H₀: ² = 0, assuming normal distribution.

Received for publication October 7, 1996.

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