Fig. 5: Application to different plant species and environmental conditions. | Nature Communications

Fig. 5: Application to different plant species and environmental conditions.

From: Machine learning models highlight environmental and genetic factors associated with the Arabidopsis circadian clock

Fig. 5: Application to different plant species and environmental conditions.

a Circadian time (CT) estimate mean-absolute-errors (MAEs) across test datasets in different species, the test dataset for Arabidopsis thalina, field samples for Arabidopsis halleri51,52, a continuous light (LL) time-course for Brassica rapa53, a LL time-course for Glycine max15 (soybean), and another LL time-course for Triticum aestivum23 (wheat). b Correlation between estimated sampling times/CTs with actual sampling times in A. halleri field data (N = 383) tested using Pearson’s correlation coefficient. Sampling time labels were adjusted to set dawn to ZT0 based on Tokyo time zone information. c Comparison of median CT estimate errors in samples with weather meta-data (N = 367) across different seasons, including Spring (3), Summer (6), Autumn (9), and Winter (12). Box-plot properties include: centre line = median, box limits = interquartile range (IQR), whiskers = 1.5 × IQR, orange box = mean, blue points = individual samples. Significant differences between group means determined using a two-tailed Man–Whitney U test with Bonferroni adjustment of P-values. **** Adj. P-value < 0.0001, ***** Adj. P-value < 0.00001. Figure source data and actual P-values are provided as a Source Data file.

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