"11093","37","archive","1305",,,"disk0/00/01/10/93","2019-03-13 03:24:18","2020-08-09 12:37:43","2019-03-13 03:24:18","article",,,"show",,,,"","","","","","","","","","",,,,"Bontpart","T","","",,"","",,"Fikre","A","","","","",,,,,"","",,,,,"","","Institute for Molecular Plant Science; School of Biological Sciences, University of Edinburgh (Edinburgh)","UK","Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants","unpub","S40006","CRPS5","","public",,,"Image-based plant phenotyping, Root system architecture, Rhizobox, Cicer arietinum, Raspberry Pi, Phenotiki, Technical advance",,"The authors thank Joanna Jones and S�eyhmus D€undar for testing
some initial rhizobox designs, Sam Anderson and Javier Sur�ıs
Auguet for help with soil preparation and building in glasshouse,
Peter Hoebe from Scotland’s Rural College (SRUC) for providing
barley seeds. PD thanks BBSRC (BB IAA 15/16–PD & BB GC IAA
16/17) for funding which supported early-stage work with rhizoboxes.
ST and PD thank BBSRC for funding (BB/P023487/1). CC
thanks CONICYT PFCHA/DOCTORADO BECAS CHILE/2016 –
72170128 for a PhD scholarship. This research was carried out
with resources provided by the Edinburgh Plant Growth Facility, a
specialist service provider for plant growth at the University of
Edinburgh.","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.","2020-07","submitted",,"The Plant Journal",,,"John Wiley and Sons",,"1-13",,,,,,"10.1111/tpj.14877",,,,,"TRUE",,,"Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants",,,,,"","https://doi.org/10.1111/tpj.14877","https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1111%2Ftpj.14877&btnG=","pub",,"BBSRC","",,,,,,"",,,,,,,"",,,,,"",,,,,"","",,,,,"","",,,,,
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"11093",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Giuffrida","M V","","",,,,,,,,,,,,,,,,,,,,,,,"School of Computing, Edinburgh Napier University, Merchiston Campus, Edinburgh",,,,"s20302",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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"11093",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Wordofa","N G","","",,,,,,,,,,,,,,,,,,,,,,,"Ethiopian Biotechnology Institute (Addis Ababa)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"11093",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Tesfaye","K","","",,,,,,,,,,,,,,,,,,,,,,,"Ethiopian Academy of Sciences (Addis Ababa)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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