We present in this paper a novel, semiautomated image-analysis software to streamline the quantitative analysis of root growth and architecture of complex root systems. The software combines a vectorial representation of root objects with a powerful tracing algorithm that accommodates a wide range of image sources and quality. The root system is treated as a collection of roots (possibly connec...

We present in this paper a novel, semiautomated image-analysis software to streamline the quantitative analysis of root growth and architecture of complex root systems. The software combines a vectorial representation of root objects with a powerful tracing algorithm that accommodates a wide range of image sources and quality. The root system is treated as a collection of roots (possibly connec...

Drought is a serious problem that causes losses in crop-yield every year, but the mechanisms underlying how roots respond to water deficit are difficult to study under controlled conditions. Methods for assaying root elongation and architecture, especially for seedlings, are commonly achieved on artificial media, such as agar, moistened filter paper, or in hydroponic systems. However, it has be...

An automated method for root system architecture reconstruction from 3D volume datasets obtained from magnetic resonance imaging is developed and validated with a 3D semi-manual reconstruction using virtual reality and a 2D reconstruction using SmartRoot (Lobet et al., 2011). It is tested on the basis of a MRI image of a 25 days old lupin grown in natural sand with a resolution of 0.39× 0.39× 1...

s Talks 1. Automated phenotyping of root behavior in mutant and naturally varying populations Prof Edgar Spalding, University of Wisconsin Plant biologists are justified in pursuing a comprehensive mapping of genotype to phenotype because the goal is important and the genomic half of the equation in some reference systems is highly developed. However, methodologies for quantifying phenotypes wi...