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. 2016 Oct 6;68(8):1987–1999. doi: 10.1093/jxb/erw368

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© The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 7. — Principal component analysis of 17 selected root traits with CVs ≥0.3 among 270 chickpea genotypes grown in a semi-hydroponic phenotyping platform. The position of each genotype is shown for principal component PC1 vs. PC2 representing 70.7% of the variability (a), PC1 vs. PC3 representing 66.8% of the variability (b), and PC2 vs. PC3 representing 25.5% of the variability (c).