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. 2020 May 6;11:664. doi: 10.3389/fmicb.2020.00664

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Copyright © 2020 Rouphael, Lucini, Miras-Moreno, Colla, Bonini and Cardarelli.

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) and the copyright owner(s) 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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Orthogonal projection to latent structures discriminant analysis (OPLS-DA) supervised modeling of leaves (A) and roots (B) of maize plants treated with a consortium of arbuscular mycorrhizal fungi (AMF), Trichoderma koningii TK7, and rhizosphere bacteria or with a consortium of Trichoderma koningii TK7 and rhizosphere bacteria (Tricho) plus a protein hydrolyzate-based biostimulant (PH), or with a protein hydrolyzate-based biostimulant (PH). The metabolomic dataset produced through UHPLC-ESI/QTOF-MS was Pareto scaled and then used for the multivariate OPLS-DA modeling.