Abstract:

Stability can comprehensively reflect quality and yields in corn. Our objective was to evaluate results of corn regional trials. Five data sets from various maize regional trials were fitted and analyzed by use of 4 typical models, including Shukla model, Finlay-Wilkinson regression model, Eberhart-Russell regression model and AMMI model. The results showed that, no one of the used models was the best in fitting the data for all trials, the Finlay-Wilkinson model was bad for all of 5 trials and the AMMI model was best for 3 trials; Shukla model and Eberhart-Russell model were best separately only for one trial. There was also obvious difference in stability ranking and statistical test about maize yield between the used models. Therefore, the AMMI model or the model selected based on information criterion in data fit was suggested for analysis of maize regional trials, in order to enhance the accurate in test of yield difference and assess of stability of maize variety.