Fig. 3
From: Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana
Estimation of fruit number from image analysis and statistical modeling. a Example of inflorescence images, analyzed with ImageJ to extract individual skeleton descriptors after segmentation and 2D skeletonization. b Manual counting (purple dots) of fruit number on a subset of inflorescence images. c Series of cross-validation performed for different predictive models with different training population size (x axis). Dots represent mean prediction accuracy, measured as Pearson’s coefficient of correlation (r2) between observed and predicted values. Error bars represent 95% CI across 100 random permutations of the training dataset. d Correlation between observed and predicted values for cross-validation of the best model obtained with stepwise regression, performed 60 individuals to train the model, and tested on 100 individuals not used to train the model