Summary of Trait values in selected Trials
The least squares mean (LSmean) of a line is the best estimate of that line's mean based on a linear model. If a dataset has missing data, the LSmean adjusts for the expected value of the missing data based on the model, so that the LSmean is less sensitive to missingness than the arithmetic mean.
If two lines have the same true mean value, their estimated mean values are only expected to differ by more than the Least Significant Difference (LSD) in 5% of experiments. If a number of lines have the same true mean value, the maximum difference between any pair of lines is only expected to exceed the Honestly Significant Difference (HSD) in 5% of experiments.