Four-dimensional measurement of root system development using time-series three-dimensional volumetric data analysis by backward prediction.

ABSTRACT:

Background

Root system architecture (RSA) is an essential characteristic for efficient water and nutrient absorption in terrestrial plants; its plasticity enables plants to respond to different soil environments. Better understanding of root plasticity is important in developing stress-tolerant crops. Non-invasive techniques that can measure roots in soils nondestructively, such as X-ray computed tomography (CT), are useful to evaluate RSA plasticity. However, although RSA plasticity can be measured by tracking individual root growth, only a few methods are available for tracking individual roots from time-series three-dimensional (3D) images.

Results

We developed a semi-automatic workflow that tracks individual root growth by vectorizing RSA from time-series 3D images via t

SUBMITTER: Teramoto S 

PROVIDER: S-EPMC9733169 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature