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Chemical and Biological Technologies in Agriculture
Fig. 5 | Chemical and Biological Technologies in Agriculture

Fig. 5

From: Biodynamic, organic and integrated agriculture effects on cv. Italia table grapes juice, over a 3-year period experiment: an 1H NMR spectroscopy-based metabolomics study

Fig. 5

OPLS-DA analyses, pairwise comparisons. a pairwise OPLS-DA score scatter plot (one predictive and four orthogonal components, R2X(cum) = 0.83, R2Y(cum) = 0.912, Q2(cum) = 0.889) for biodynamic (BD) and organic (ORG) treatments, b S-line for the model; c pairwise OPLS-DA score scatter plot (one predictive and four orthogonal components, R2X(cum) = 0.84, R2Y(cum) = 0.874, Q2(cum) = 0.835) for biodynamic (BD) and integrated (INT) treatments, d S-line for the model; e pairwise OPLS-DA score scatter plot (one predictive and four orthogonal components, R2X(cum) = 0.794, R2Y(cum) = 0.824, Q2(cum) = 0.779) for organic (ORG) and integrated (INT) treatments, f S-line for the model. In the score scatter plots, the colour intensity of the dots increases progressively according to the vintage (light = 2020, medium = 2021, dark = 2022). The S-line plots for the OPLS-DA models visualize the centred loading vector (p(ctr)), colored according to the absolute value of the correlation loading, p(corr).The colour bar associated with the plot indicates the correlation of the metabolites that discriminate the classes

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