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Chemical and Biological Technologies in Agriculture
Fig. 4 | Chemical and Biological Technologies in Agriculture

Fig. 4

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. 4

PLS-DA analyses for all grapes juice samples. a PLS-DA score scatter plot from model set on class “harvesting year” (five components give R2X (cum) = 0.789, R2Y(cum) = 0.742, Q2(cum) = 0.689), b PLS-DA loading scatter plot from model set on class “harvesting year”, c PLS-DA score scatter plot from model set on class “viticultural treatment” (five components give R2X (cum) = 0.802, R2Y(cum) = 0.723, Q2(cum) = 0.705) and d PLS-DA loading scatter plot from model set on class “viticultural treatment”. Loading scatter plots for the models are coloured 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. w*c[1] and w*c[2] axes represented the weighted correlation vectors

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