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. 2019 Jul 4;10:832. doi: 10.3389/fpls.2019.00832

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Copyright © 2019 Bancel, Bonnot, Davanture, Alvarez, Zivy, Martre, Déjean and Ravel.

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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Visualization by plotLoadings after a supervised classification by sPLS of the variables that are the best discriminating on component 1 (A) and component 2 (B). The figure shows coefficient weight of the features selected on component 1 and component 2, with the maximal variable weight (numerical scale) on each feature in the two datasets blocks: AG and SP. The Uniprot identification is used for AGs. HMW_, LMW_, glutenin_grain indicate the quantity per grain of LMW-, HMW-, and total glutenins. Alpha_, gamma_, omega_, and gliadine_grain indicate the quantity per grain of Alpha_, gamma_, omega_, and total-gliadins. GlitoGlu is the gliadin to glutenin ratio.