Literature DB >> 26683583

Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants.

Miguel A Piñeros1, Brandon G Larson1, Jon E Shaff1, David J Schneider1, Alexandre Xavier Falcão2, Lixing Yuan3, Randy T Clark1, Eric J Craft1, Tyler W Davis1, Pierre-Luc Pradier1, Nathanael M Shaw1, Ithipong Assaranurak4, Susan R McCouch4, Craig Sturrock5, Malcolm Bennett5,6, Leon V Kochian1.   

Abstract

A plant's ability to maintain or improve its yield under limiting conditions, such as nutrient deficiency or drought, can be strongly influenced by root system architecture (RSA), the three-dimensional distribution of the different root types in the soil. The ability to image, track and quantify these root system attributes in a dynamic fashion is a useful tool in assessing desirable genetic and physiological root traits. Recent advances in imaging technology and phenotyping software have resulted in substantive progress in describing and quantifying RSA. We have designed a hydroponic growth system which retains the three-dimensional RSA of the plant root system, while allowing for aeration, solution replenishment and the imposition of nutrient treatments, as well as high-quality imaging of the root system. The simplicity and flexibility of the system allows for modifications tailored to the RSA of different crop species and improved throughput. This paper details the recent improvements and innovations in our root growth and imaging system which allows for greater image sensitivity (detection of fine roots and other root details), higher efficiency, and a broad array of growing conditions for plants that more closely mimic those found under field conditions.
© 2015 Institute of Botany, Chinese Academy of Sciences.

Entities:  

Keywords:  Abiotic stress; digital root phenotyping; mineral nutrition; root system architecture

Mesh:

Substances:

Year:  2016        PMID: 26683583     DOI: 10.1111/jipb.12456

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  11 in total

1.  Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures.

Authors:  Ni Jiang; Eric Floro; Adam L Bray; Benjamin Laws; Keith E Duncan; Christopher N Topp
Journal:  Plant Cell       Date:  2019-05-23       Impact factor: 11.277

2.  TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging.

Authors:  Dan Zeng; Mao Li; Ni Jiang; Yiwen Ju; Hannah Schreiber; Erin Chambers; David Letscher; Tao Ju; Christopher N Topp
Journal:  Plant Methods       Date:  2021-12-13       Impact factor: 4.993

3.  Adaption of Roots to Nitrogen Deficiency Revealed by 3D Quantification and Proteomic Analysis.

Authors:  Lu Qin; Thomas C Walk; Peipei Han; Liyu Chen; Sheng Zhang; Yinshui Li; Xiaojia Hu; Lihua Xie; Yong Yang; Jiping Liu; Xing Lu; Changbing Yu; Jiang Tian; Jon E Shaff; Leon V Kochian; Xing Liao; Hong Liao
Journal:  Plant Physiol       Date:  2018-11-19       Impact factor: 8.340

Review 4.  Roots Withstanding their Environment: Exploiting Root System Architecture Responses to Abiotic Stress to Improve Crop Tolerance.

Authors:  Iko T Koevoets; Jan Henk Venema; J Theo M Elzenga; Christa Testerink
Journal:  Front Plant Sci       Date:  2016-08-31       Impact factor: 5.753

5.  Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping.

Authors:  Ali Shafiekhani; Suhas Kadam; Felix B Fritschi; Guilherme N DeSouza
Journal:  Sensors (Basel)       Date:  2017-01-23       Impact factor: 3.576

Review 6.  Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology.

Authors:  Mathilde Balduzzi; Brad M Binder; Alexander Bucksch; Cynthia Chang; Lilan Hong; Anjali S Iyer-Pascuzzi; Christophe Pradal; Erin E Sparks
Journal:  Front Plant Sci       Date:  2017-02-03       Impact factor: 5.753

7.  Genomic regions responsible for seminal and crown root lengths identified by 2D & 3D root system image analysis.

Authors:  Yusaku Uga; Ithipong Assaranurak; Yuka Kitomi; Brandon G Larson; Eric J Craft; Jon E Shaff; Susan R McCouch; Leon V Kochian
Journal:  BMC Genomics       Date:  2018-04-20       Impact factor: 3.969

Review 8.  Developmental Pathways Are Blueprints for Designing Successful Crops.

Authors:  Ben Trevaskis
Journal:  Front Plant Sci       Date:  2018-06-05       Impact factor: 5.753

9.  High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.

Authors:  Takanari Tanabata; Yusaku Uga; Shota Teramoto; Satoko Takayasu; Yuka Kitomi; Yumiko Arai-Sanoh
Journal:  Plant Methods       Date:  2020-05-11       Impact factor: 4.993

Review 10.  Uncovering the hidden half of plants using new advances in root phenotyping.

Authors:  Jonathan A Atkinson; Michael P Pound; Malcolm J Bennett; Darren M Wells
Journal:  Curr Opin Biotechnol       Date:  2018-07-19       Impact factor: 9.740

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