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. 2016 Mar 9;42:202–214. doi: 10.1007/s10886-016-0678-y

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© The Author(s) 2016

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 2 — The linear regression between the architectural parameters and prunasin concentration in roots of Prunus serotina seedlings growing in control (P – three Prunus seedlings) or in competition with mulching (Q + P + L - three Quercus petraea + six P. serotina + mulching with P. serotina leaves) under high light (HL): a Leaf area ratio (LAR); b Leaf weight ratio (LWR); c Root weight ratio (RWR) vs. prunasin concentration in P. serotina roots. The equations of linear regression, coefficients of determination (R ²) with probability (P) obtained from the analysis of variance in regression are shown (N = 16; N – number of seedlings)