Figure 1.
Image of a 14 day root.
Table 1.
Traits captured by ARIA.
Figure 2.
PCA plot of all ARIA trait Pearson correlations, clusters of traits have been marked showing which traits are closest related.
Table 2.
Comparison of repeatability estimates for both WhinRhizo Pro 9.0 and ARIA.
Figure 3.
Manhattan plot displaying all 10 maize chromosomes, showing SNP markers significantly associated with trait Total Root Length measured with ARIA.
Significant SNPs are located on chromosomes 1, 2, and 4.
Figure 4.
Manhattan plot displaying all 10 maize chromosomes, showing SNP markers significantly associated with trait Total Root Length measured with WinRhizo, significant SNPs are consistent with ARIA, with additional SNPs on chromosomes 3, 5, 6, and 8.
Figure 5.
Demonstration of a 3D image analysis.
A) Skeletonization of a 3D root image using ARIA. B) After skeletonization process is complete, the primary root is found and highlighted in black for accurate measurement of PRL measured at 1479 pixels, TRL measured at 582 pixels, and SEL with a measurement of 897 pixels. Pixel count can be converted to standard measurement notation with the inclusion of a baseline ruler to count pixels per cm or inch.
Figure 6.
Analysis of a diseased maple leaf, ARIA’s flexible mainframe will allow multiple uses of the program beyond root phenotyping.
Figure 7.
Thresholding and skeletonization stages.
Figure 8.
Automated identification of primary and secondary roots.
Figure 9.
Screen capture of the ARIA framework.
The picture on the right is the root image. The plot on the top left is automated identification of primary and secondary roots. The graph on the bottom left represents detailed analysis of root architecture, specifically a histogram of secondary roots across each 10% of the primary root.