Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED)

Joshua Peeples , Weihuang Xu , Romain Gloaguen (1) , Diane Rowland , Alina Zare , Zachary Brym

1 INTERACT - Innovation, Territoire, Agriculture et Agro-industrie, Connaissance et Technologie

Abstract Purpose Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery. Methods We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover’s Distance (STARSEED), for comparing root system distributions that incorporates spatial information through a novel application of the Earth Mover’s Distance (EMD). Results We illustrate that the approach captures the response of sesame root systems for different genotypes and soil moisture levels. STARSEED provides quantitative and visual insights into changes that occur in root architectures across experimental treatments. Conclusion STARSEED can be generalized to other plants and provides insight into root system architecture development and response to varying growth conditions not captured by existing root architecture metrics and models. The code and data for our experiments are publicly available: https://github.com/GatorSense/STARSEED .

Domains: Life Sciences [q-bio]

Joshua Peeples, Weihuang Xu, Romain Gloaguen, Diane Rowland, Alina Zare, et al.. Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED). Plant Methods, 2023, 19 (1), pp.2. ⟨10.1186/s13007-022-00974-z⟩. ⟨hal-04027899⟩