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. 2017 Dec 22;8:2201. doi: 10.3389/fpls.2017.02201

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Copyright © 2017 Marmiroli, Mussi, Imperiale, Lencioni and Marmiroli.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Principal component analysis vectors. Three-dimension (3D) representation of the 11 vectors for the PCA of the fruit for both cultivars, as in Figure 5, utilizing the loading values in Supplementary Table S2. The component extraction criteria were: eigenvalue λ > 1 and varimax (orthogonal) rotation. The total proportion of the overall variance explained (e.v.) was 74.7%. PC1: λ = 3.9, e.v. = 36.0%. PC2: λ = 2.6, e.v. = 23.7%. PC3: λ = 1.7, e.v. = 15.0%. Vectors represent the amount of total variance, for all treatment types and treatment times, apportioned in each parameter.