A) Scree plot of the eigenvalues for each extracted component, the red dashed line represents the Kaiser criterion (eigenvalue >1). B) Scree plot of the percentages of variance explained for the first 10 principal components. C) Principal Component Analysis obtained for morphometric data from jojoba seeds (n = 500), showing the distribution of the five lots evaluated. Each point represents an individual seed, colored according to the original lot, and the ellipses indicate the dispersion of the data with a 95% confidence interval for each lot.