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Stability Analysis Using the SAS System
Author(s) -
Piepho HansPeter
Publication year - 1999
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1999.00021962009100010024x
Subject(s) - stability (learning theory) , mixed model , statistics , mathematics , yield (engineering) , random effects model , computer science , medicine , machine learning , physics , thermodynamics , meta analysis
Multienvironment trials are often analyzed to assess the yield stability of genotypes. Most of the common stability measures correspond to parameters of a mixed model with fixed genotypes and random environments. Analysis within a mixed model framework allows unbalanced data to be handled. This note shows how to fit the most common stability models using the MIXED procedure of the SAS system.