Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models.

In the case of the SCB14-16 data set, the analysis determined that the FA-2 model accounted for a remarkable 100% of the G × E variance, with a highly significant p < 0.001.

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However, the optimal FA model order was found to be dataset-dependent, as demonstrated by the ACB14-16 dataset, where the intermediate FA-3 and FA-4 models did not reach statistical significance, while the lower-order FA-2 and higher-order FA-5 models were significant ( Table 1 ).

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