10.5281/zenodo.5574925 Image analysis pipelines and scripts are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708430 RShiny App for exploring root system architecture of accessions is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708422 Imaging data and images are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5709009 Previously published datasets used: WORLCLIM2: Fick SE, Hijmans RJ, 2017, https://worldclim.org/, https://doi.org/10.1002/joc.5086 Acknowledgements: Work in the JRD lab was funded by the U.S. Department of Energy’s Office of Biological and Environmental Research (DE-SC0008769 and DE-SC0018277) and the Carnegie Institution for S
Open resource ↗Zenodo · 10.5281/zenodo.5709009 · pdf-raw-page:13 lines:1-35Unverified paper record
Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform
13 Nov 2021 · 10.1101/2021.11.13.468476
Abstract
The plant kingdom contains a stunning array of complex morphologies easily observed above ground, but largely unexplored below-ground. Understanding the magnitude of diversity in root distribution within the soil, termed root system architecture (RSA), is fundamental to determining how this trait contributes to species adaptation in local environments. Roots are the interface between the soil environment and the shoot system and therefore play a key role in anchorage, resource uptake, and stress resilience. Previously, we presented the GLO-Roots (Growth and Luminescence Observatory for Roots) system to study the RSA of soil-grown Arabidopsis thaliana plants from germination to maturity (Rellán-Álvarez et al. 2015). In this study, we present the automation of GLO-Roots using robotics and the development of image analysis pipelines in order to examine the natural variation of RSA in Arabidopsis over time. This dataset describes the developmental dynamics of 93 accessions and reveals highly complex and polygenic RSA traits that show significant correlation with climate variables.
Plant phenotyping relevance
ロボティクスによる表現型取得の自動化と画像解析パイプライン開発が中心で、根系構造の時系列形質を抽出するフェノタイピング基盤を提示している。
abstractIn this study, we present the automation of GLO-Roots using robotics and the development of image analysis pipelines in order to examine the natural variation of RSA in Arabidopsis over time.
abstractThis dataset describes the developmental dynamics of 93 accessions
Code and data availability
The paper's data availability statement deposits the GLORIAv2 phenotyping robot hardware, the image analysis pipelines/scripts used to extract root traits, the RShiny RSA exploration app, and the raw imaging data/images on Zenodo, all directly reproducing this paper's root phenotyping measurements and analysis.
Data availability: GLORIAv2 is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5574925 Image analysis pipelines and scripts are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708430 RShiny App for exploring root system architecture of accessions is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708422 Imaging data and images are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5709009 Previously published datasets used: WORLCLIM2: Fick SE, Hijmans RJ, 2017, https://worldclim.org/, https://doi.org/10.1002/joc.5086 Acknowledgements: Work in the JRD lab was funded by the U.S. Department of Energy’s Office of Biolog
Open resource ↗Zenodo · 10.5281/zenodo.5708422 · pdf-raw-page:13 lines:1-35Data availability: GLORIAv2 is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5574925 Image analysis pipelines and scripts are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708430 RShiny App for exploring root system architecture of accessions is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708422 Imaging data and images are available through Zenodo, DOI: https://doi.org/10.528
Open resource ↗Zenodo · 10.5281/zenodo.5574925 · pdf-raw-page:13 lines:1-35This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.