Literature DB >> 32530068

Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants.

Thibaut Bontpart1, Cristobal Concha1, Mario Valerio Giuffrida2,3, Ingrid Robertson1, Kassahun Admkie4, Tulu Degefu5, Nigusie Girma4, Kassahun Tesfaye6,7, Teklehaimanot Haileselassie6, Asnake Fikre4,5, Masresha Fetene6,8, Sotirios A Tsaftaris2, Peter Doerner1.   

Abstract

The phenotypic analysis of root system growth is important to inform efforts to enhance plant resource acquisition from soils; however, root phenotyping remains challenging because of the opacity of soil, requiring systems that facilitate root system visibility and image acquisition. Previously reported systems require costly or bespoke materials not available in most countries, where breeders need tools to select varieties best adapted to local soils and field conditions. Here, we report an affordable soil-based growth (rhizobox) and imaging system to phenotype root development in glasshouses or shelters. All components of the system are made from locally available commodity components, facilitating the adoption of this affordable technology in low-income countries. The rhizobox is large enough (approximately 6000 cm2 of visible soil) to avoid restricting vertical root system growth for most if not all of the life cycle, yet light enough (approximately 21 kg when filled with soil) for routine handling. Support structures and an imaging station, with five cameras covering the whole soil surface, complement the rhizoboxes. Images are acquired via the Phenotiki sensor interface, collected, stitched and analysed. Root system architecture (RSA) parameters are quantified without intervention. The RSAs of a dicot species (Cicer arietinum, chickpea) and a monocot species (Hordeum vulgare, barley), exhibiting contrasting root systems, were analysed. Insights into root system dynamics during vegetative and reproductive stages of the chickpea life cycle were obtained. This affordable system is relevant for efforts in Ethiopia and other low- and middle-income countries to enhance crop yields and climate resilience sustainably.
© 2020 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Cicer arietinumzzm321990; Phenotiki; Raspberry Pi; image-based plant phenotyping; rhizobox; root system architecture; technical advance

Mesh:

Substances:

Year:  2020        PMID: 32530068     DOI: 10.1111/tpj.14877

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  8 in total

1.  DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays).

Authors:  Suxing Liu; Carlos Sherard Barrow; Meredith Hanlon; Jonathan P Lynch; Alexander Bucksch
Journal:  Plant Physiol       Date:  2021-10-05       Impact factor: 8.340

Review 2.  Specialized Plant Growth Chamber Designs to Study Complex Rhizosphere Interactions.

Authors:  Mon Oo Yee; Peter Kim; Yifan Li; Anup K Singh; Trent R Northen; Romy Chakraborty
Journal:  Front Microbiol       Date:  2021-03-26       Impact factor: 5.640

Review 3.  Current Techniques to Study Beneficial Plant-Microbe Interactions.

Authors:  Elisa Gamalero; Elisa Bona; Bernard R Glick
Journal:  Microorganisms       Date:  2022-07-08

4.  Recent advances in methods for in situ root phenotyping.

Authors:  Anchang Li; Lingxiao Zhu; Wenjun Xu; Liantao Liu; Guifa Teng
Journal:  PeerJ       Date:  2022-07-01       Impact factor: 3.061

5.  Propagation Methods Decide Root Architecture of Chinese Fir: Evidence from Tissue Culturing, Rooted Cutting and Seed Germination.

Authors:  Linxin Li; Xianhua Deng; Ting Zhang; Yunlong Tian; Xiangqing Ma; Pengfei Wu
Journal:  Plants (Basel)       Date:  2022-09-21

6.  ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.

Authors:  Nicolás Gaggion; Federico Ariel; Vladimir Daric; Éric Lambert; Simon Legendre; Thomas Roulé; Alejandra Camoirano; Diego H Milone; Martin Crespi; Thomas Blein; Enzo Ferrante
Journal:  Gigascience       Date:  2021-07-20       Impact factor: 6.524

Review 7.  The impact of the rhizobia-legume symbiosis on host root system architecture.

Authors:  Cristobal Concha; Peter Doerner
Journal:  J Exp Bot       Date:  2020-06-26       Impact factor: 6.992

8.  Fully-automated root image analysis (faRIA).

Authors:  Narendra Narisetti; Michael Henke; Christiane Seiler; Astrid Junker; Jörn Ostermann; Thomas Altmann; Evgeny Gladilin
Journal:  Sci Rep       Date:  2021-08-06       Impact factor: 4.379

  8 in total

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