Thomas S. K., Guill K. E., et al. 2023. RootBot: High‐throughput root stress phenotyping robot. Applications in Plant Sciences 11(6): e11541. 10.1002/aps3.11541 Mia Ruppel and Sven K. Nelson contributed equally to this work. DATA AVAILABILITY STATEMENT All source code, scripts, and CAD files are freely available on BitBucket ( https://bitbucket.org/washjake/rootbot/ ). The RootBot/FarmBot OS setup, programming, and phenotype scheduling ( https://doi.org/10.17504/protocols.io.x54v9d76zg3e/v1 ) and the image scoring protocol ( https://doi.org/10.17504/protocols.io.5jyl8j16dg2w/v1 ) are available on protocols.io (Ruppel et al., 2023a , b ). REFERENCES Daryanto, S. , Wang L., and Jacinthe P.‐A
Open resource ↗bitbucket.org/washjake/rootbot · lines:132-394Unverified paper record
RootBot: High‐throughput root stress phenotyping robot
Applications in Plant Sciences · 28 Aug 2023 · 10.1002/aps3.11541
Abstract
Premise: Higher temperatures across the globe are causing an increase in the frequency and severity of droughts. In agricultural crops, this results in reduced yields, financial losses, and increased food costs at the supermarket. Root growth maintenance in drying soils plays a major role in a plant's ability to survive and perform under drought, but phenotyping root growth is extremely difficult due to roots being under the soil. Methods and Results: RootBot is an automated high-throughput phenotyping robot that eliminates many of the difficulties and reduces the time required for performing drought-stress studies on primary roots. RootBot simulates root growth conditions using transparent plates to create a gap that is filled with soil and polyethylene glycol (PEG) to simulate low soil moisture. RootBot has a gantry system with vertical slots to hold the transparent plates, which theoretically allows for evaluating more than 50 plates at a time. Software pipelines were also co-opted, developed, tested, and extensively refined for running the RootBot imaging process, storing and organizing the images, and analyzing and extracting data. Conclusions: The RootBot platform and the lessons learned from its design and testing represent a valuable resource for better understanding drought tolerance mechanisms in roots, as well as for identifying breeding and genetic engineering targets for crop plants.
Plant phenotyping relevance
根の乾燥ストレス下での成長を自動撮像・解析する高スループット表現型解析ロボットの開発、試験、画像データ抽出が中心である。
abstractRootBot is an automated high-throughput phenotyping robot that eliminates many of the difficulties and reduces the time required for performing drought-stress studies on primary roots.
abstractSoftware pipelines were also co-opted, developed, tested, and extensively refined for running the RootBot imaging process, storing and organizing the images, and analyzing and extracting data.
Code and data availability
The paper's authors publicly released all RootBot source code, scripts, and CAD files on BitBucket, plus step-by-step protocols on protocols.io for the RootBot/FarmBot OS phenotype scheduling and the image scoring/analysis pipeline used to extract root measurements. No raw phenotype dataset deposit is stated beyond the
Plant Sciences 11(6): e11541. 10.1002/aps3.11541 Mia Ruppel and Sven K. Nelson contributed equally to this work. DATA AVAILABILITY STATEMENT All source code, scripts, and CAD files are freely available on BitBucket ( https://bitbucket.org/washjake/rootbot/ ). The RootBot/FarmBot OS setup, programming, and phenotype scheduling ( https://doi.org/10.17504/protocols.io.x54v9d76zg3e/v1 ) and the image scoring protocol ( https://doi.org/10.17504/protocols.io.5jyl8j16dg2w/v1 ) are available on protocols.io (Ruppel et al., 2023a , b ). REFERENCES Daryanto, S. , Wang L., and Jacinthe P.‐A.. 2016. Global synthesis of drought effects on maize and wheat production. PLoS ONE 11: e0156362. Das, A. , Schne
Open resource ↗10.17504/protocols.io.x54v9d76zg3e/v1 · lines:132-394d equally to this work. DATA AVAILABILITY STATEMENT All source code, scripts, and CAD files are freely available on BitBucket ( https://bitbucket.org/washjake/rootbot/ ). The RootBot/FarmBot OS setup, programming, and phenotype scheduling ( https://doi.org/10.17504/protocols.io.x54v9d76zg3e/v1 ) and the image scoring protocol ( https://doi.org/10.17504/protocols.io.5jyl8j16dg2w/v1 ) are available on protocols.io (Ruppel et al., 2023a , b ). REFERENCES Daryanto, S. , Wang L., and Jacinthe P.‐A.. 2016. Global synthesis of drought effects on maize and wheat production. PLoS ONE 11: e0156362. Das, A. , Schneider H., Burridge J., Ascanio A. K. M., Wojciechowski T., Topp C. N., Lynch J. P., et al.
Open resource ↗10.17504/protocols.io.5jyl8j16dg2w/v1 · lines:132-394This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.