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. 2020 Apr 28;20:185. doi: 10.1186/s12870-020-02390-8

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 6 — Principal component analysis of (a, b) 16 selected global traits (12 root-related and four shoot traits) and (c) four root traits in the top section (0–20 cm) and (d) sub-section (below 20 cm) with genotypes presented by root system size, among 184 wheat genotypes grown in a semi-hydroponic phenotyping platform 35 days after transplanting. The position of each global trait is shown for (a) PC1 vs. PC2 representing 55.5% of the variability, and (b) PC2 vs. PC3 representing 27.2% of the variability. The position of each (c) top section trait and (b) sub-section trait for PC1 vs. PC2 representing 100% of the variability, respectively