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. 2020 Oct 12;72(2):542–560. doi: 10.1093/jxb/eraa459

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© The Author(s) 2020. 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/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 2. — Principal component analysis (PCA) of data collected from eight cassava cultivars grown at ambient (AMB CO₂) and elevated [CO₂] (ELE CO₂). The percentage on each axis represents the contribution of each principal component for the differences observed between [CO₂] treatments (x-axis) and between cultivars (y-axis). Only the arrows representing the variables that most explained the variation in this experimental dataset are labeled in this figure. The list of all variables used in the PCA with the respective eigenvalues is shown in Supplementary Table S1.