Quantification of the three-dimensional root system architecture using an automated rotating imaging system.

ABSTRACT:

Background

Crop breeding based on root system architecture (RSA) optimization is an essential factor for improving crop production in developing countries. Identification, evaluation, and selection of root traits of soil-grown crops require innovations that enable high-throughput and accurate quantification of three-dimensional (3D) RSA of crops over developmental time.

Results

We proposed an automated imaging system and 3D imaging data processing pipeline to quantify the 3D RSA of soil-grown individual plants across seedlings to the mature stage. A multi-view automated imaging system composed of a rotary table and an imaging arm with 12 cameras mounted with a combination of fan-shaped and vertical distribution was developed to obtain 3D image data of roots grown on a custom

SUBMITTER: Wu Q 

PROVIDER: S-EPMC9896698 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature