Root shape phenotyping using three-dimensional root system vector data in rice

Teramoto, S.; Uga, Y.

doi:10.64898/2026.06.15.732232

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bioRxiv · 10.64898/2026.06.15.732232

Root shape phenotyping using three-dimensional root system vector data in rice

Teramoto, S.·Uga, Y.

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Abstract

PurposeAlternation of root distribution in the soil is a method for improving root system architecture (RSA) in crops. If the root is straight, root distribution has been altered by regulating the angle of root growth in the vertical direction. However, the root shape should be curved and winding. This study aimed to define parameters reflecting the actual root shape. MethodsWe used three-dimensional vector data of rice (Oryza sativa L.) RSA derived from an X-ray computed tomography image to compile two sets of two-dimensional vector data for horizontal and vertical components. In the vertical component, we defined the dropping angle{theta} d, which is calculated assuming that the rice roots are bent upward. In the horizontal component, we defined the polar angle{theta}{rho} , which is the direction in which the roots grow when viewing the plant from above, and the winding degree log {sigma}w, which is calculated by assuming that root elongation is in a random walk. ResultsAssuming that{theta}{rho} is distributed uniformly in all varieties, there should be no varietal differences in this angle. We measured{theta} d and log {sigma}w of three rice varieties with different root distributions: shallow, deep, and intermediate. We found significant varietal difference in{theta} d and log {sigma}w. ConclusionsWe have shown that{theta} d and log {sigma}w are useful parameters for comparing RSA in rice varieties. We have named this methodology RSAparam3D, and it is freely available to researchers.

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Teramoto, S., Uga, Y.. 2026-06-15. Root shape phenotyping using three-dimensional root system vector data in rice. https://doi.org/10.64898/2026.06.15.732232

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