High-resolution 3D phenotyping of the grapevine root system using X-ray Computed Tomography

Plant roots are essential for water and nutrient uptake and contribute to the plants' response to environmental stress factors. As the hidden half of a plant, investigation of root systems is highly challenging, most of available methods are destructive and very labour-intensive. In this proof-of-concept study, a non-invasive X-ray micro computed tomography (X-ray µCT) method was applied to investigate the phenotypic variation of the complex three-dimensional (3D) architecture of grapevine roots as a function of genotype and soil. Woody cuttings of 'Calardis Musque', 'Villard Blanc' and V3125 ('Schiava Grossa' x 'Riesling') were cultivated in polypropylene columns filled with two different soil types, clay loam and sandy loam, for 6 weeks. Afterwards, the columns were scanned once using the technique of X-ray µCT. The received raw data were analysed for the reconstruction of 3D root system models (3D model), which display a non-destructive visualization of whole, intact root systems with a spatial resolution of 42 µm. The 3D models of all investigated plants (in total 18) were applied to quantify root system characteristics precisely by measuring adventitious root length, lateral root length, total root length, root system surface area, root system volume and root growth angles from the woody cutting relative to a horizontal axis. The results showed that: (i) early root formation and root growth differed between genotypes, especially between 'Calardis Musque' and 'Villard Blanc'; and (ii) the soil type does influence adventitious root formation of V3125, but had minor effects on 'Calardis Musque' and 'Villard Blanc'. In conclusion, this innovative, high-resolution method of X-ray µCT is suitable for high resolution phenotyping of root formation, architecture, and rooting characteristics of grapevine woody cuttings in a non-destructive manner, e.g. to investigate root response to drought stress and would provide new insights into phylloxera root infection.

[1]  Ulrich Schurr,et al.  Combined MRI-PET dissects dynamic changes in plant structures and functions. , 2009, The Plant journal : for cell and molecular biology.

[2]  D. Tomasi,et al.  Root system distribution and density of ‘Pinot Gris’: effect on yield and grape quality , 2016 .

[3]  Stefan Mairhofer,et al.  Quantifying the impact of soil compaction on root system architecture in tomato (Solanum lycopersicum) by X-ray micro-computed tomography. , 2012, Annals of botany.

[4]  R. Morlat,et al.  The soil effects on the grapevine root system in several vineyards of the Loire valley (France) , 2015 .

[5]  S. Delrot,et al.  Genetic and Genomic Approaches for Adaptation of Grapevine to Climate Change , 2020 .

[6]  Tony P. Pridmore,et al.  Extracting multiple interacting root systems using X‐ray microcomputed tomography , 2015, The Plant journal : for cell and molecular biology.

[7]  W. R. Whalley,et al.  Rothamsted Repository Download , 2022 .

[8]  J. G. Isebrands,et al.  Carbon Allocation to Root and Shoot Systems of Woody Plants , 1994 .

[9]  D. Smart,et al.  Dormant Buds and Adventitious Root Formation by Vitis and Other Woody Plants , 2002, Journal of Plant Growth Regulation.

[10]  C. Kole,et al.  Genomic Designing of Climate-Smart Fruit Crops , 2020 .

[11]  D. Riemenschneider,et al.  Researching the controls of adventitious rooting , 1992 .

[12]  S. Mooney,et al.  X-Ray Computed Tomography of Crop Plant Root Systems Grown in Soil. , 2017, Current protocols in plant biology.

[13]  L. Williams,et al.  The Effect of Rootstock on the Partitioning of Dry Weight, Nitrogen and Potassium, and Root Distribution of Cabernet Sauvignon Grapevines , 1991, American Journal of Enology and Viticulture.

[14]  B. Loveys,et al.  The effect of changing patterns in soil‐moisture availability on grapevine root distribution, and viticultural implications for converting full‐cover irrigation into a point‐source irrigation system , 2007 .

[15]  Lisa Morano,et al.  Grapevine Rooting Patterns: A Comprehensive Analysis and a Review , 2006, American Journal of Enology and Viticulture.

[16]  Ulrich Schurr,et al.  Belowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy , 2014, Front. Plant Sci..

[17]  Stefan Mairhofer,et al.  Quantifying the effect of soil moisture content on segmenting root system architecture in X-ray computed tomography images , 2013, Plant and Soil.

[18]  Michael P. Pound,et al.  Uncovering the hidden half of plants using new advances in root phenotyping , 2019, Current opinion in biotechnology.