Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture

Journal Article · 21 December 2023 · Plant Phenomics

DOI: https://doi.org/10.34133/plantphenomics.0127 · OSTI ID:2340131

Parasurama, Sriram  ^[1]; Banan, Darshi  ^[2]; Yun, Kyungdahm  ^[3]; Doty, Sharon  ^[2]; Kim, Soo-Hyung  ^[2]

---

1. Univ. of Washington, Seattle, WA (United States); Cornell Univ., Ithaca, NY (United States); University of Washington
2. Univ. of Washington, Seattle, WA (United States)
3. Jeonbuk National University, Jeonju (Korea, Republic of)

Root system architecture (RSA) is an important measure of how plants navigate and interact with the soil environment. However, current methods in studying RSA must make tradeoffs between precision of data and proximity to natural conditions, with root growth in germination papers providing accessibility and high data resolution. Functional–structural plant models (FSPMs) can overcome this tradeoff, though parameterization and evaluation of FSPMs are traditionally based in manual measurements and visual comparison. Here, we applied a germination paper system to study the adventitious RSA and root phenology of Populus trichocarpa stem cuttings using time-series image-based phenotyping augmented by FSPM. We found a significant correlation between timing of root initiation and thermal time at cutting collection (P value = 0.0061, R² = 0.875), but little correlation with RSA. We also present a use of RhizoVision [1] for automatically extracting FSPM parameters from time series images and evaluating FSPM simulations. A high accuracy of the parameterization was achieved in predicting 2D growth with a sensitivity rate of 83.5%. This accuracy was lost when predicting 3D growth with sensitivity rates of 38.5% to 48.7%, while overall accuracy varied with phenotyping methods. Despite this loss in accuracy, the new method is amenable to high throughput FSPM parameterization and bridges the gap between advances in time-series phenotyping and FSPMs.

• Research Organization: Univ. of Washington, Seattle, WA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER); Korean Cooperative Research Program for Agricultural Science and Technology Development, Rural Development Administration (RDA)
• Grant/Contract Number: SC0021137
• OSTI ID: 2340131
• Journal Information: Plant Phenomics, Journal Name: Plant Phenomics Vol. 5; ISSN 2643-6515
• Publisher: AAASCopyright Statement
• Country of Publication: United States
• Language: English