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Title: Root phenotyping pipeline for cereal plants
Authors: Słota, Michał
Małuszyński, Mirosław
Szarejko, Iwona
Keywords: Root system; Root system architecture; Hydroponics; Root phenotyping
Issue Date: 2017
Citation: J. Jankowicz-Cieslak, T. Tai, J. Kumlehn, B. Till (red.), “Biotechnologies for Plant Mutation Breeding” (S. 157-172). Cham : Springer
Abstract: The proposed system for the phenotypic analysis of root traits that is presented here enables the precise description of the root growth kinetics of cereal plants. The designed pipeline is composed of a drip irrigation system to supplement plants with a medium, a high-resolution root system scanning facility and a method for comprehensive image analysis. The system enables low-effort, accurate and highly repeatable analysis of features of the root system of cereal seedlings and young plants until the early tillering stage. This system employs an automatic drip irrigation line, which is controlled remotely by a programmable logic controller (PLC). The PLC adapter used facilitates the automated control of all system modules, thus allowing the rate of the medium flow to be adjusted for the supplementation of plants. The system employs measuring sensors for the continuous monitoring of the parameters of the culture medium. This continuous sensing of medium parameters can be applicable for mineral nutrition studies and abiotic stress response testing. The installed drip lines are injected into transparent acrylic tubes (500 mm high, 32/30 mm in outer and inner diameter, with a circular opening in the bottom of 3 mm in diameter) that are filled with glass beads. The acrylic tubes are placed in opaque cover tubes that permit the non-destructive observation of the growth of the root system. Enhanced imaging quality contributes to an increase in the precision of the results that are obtained in the course of the analysis of root parameters using specialised root scanners coupled with the WinRHIZO system. This novel phenotyping pipeline permits noninvasive observation of root system growth adjusted for the subsequent root image acquisition with a reduced background noise. The method combines automated control of plant growth conditions with good imaging quality and high replicability of growth parameters.
DOI: 0.1007/978-3-319-45021-6_10
ISBN: 978-3-319-45019-3
ISSN: 978-3-319-45021-6
Appears in Collections:Książki/rozdziały (WNP)

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