Fig. S3. Bootstrapping to calculate CV estimates and relate them
to release year shows variability across locations
CV was calculated using sampling with replacement from five measurements
for each variety that was measured at least five times. Linear
regression was performed on CV values for release year. The p-value was
determined for comparing that slope to 0 using a t-test. This was
repeating 1000 times and the density of p-values is shown. The red
vertical lines indicate p = 0.05. In a-c) results are shown across all
locations. In a) the p-value distribution is shown. In b) the
distribution of R2 values is shown, and in c) the
distribution of the slope estimates across the 1000 bootstraps is shown.
In d-i) the p-value distributions are shown for the six locations.