Good loading weight interpretation.
970nm Sugar negatively correlated.
Variance in loading showed characteristic band.
P.8 Equation loadings were thus plotted (Fig.3) in order to
identify, across the spectral range, those points where variance had influenced
computing of the model, to a greater or lesser degree, as well as the direction
(positive or negative). Fig. 3 shows that for the fruit weight parameter, using
the DA-7000, the areas of the spectrum that most influenced the fitting of the
model – other than the bands observed in the spectral area which includes the
visible region- corresponded to water-absorption bands at around 970 and 1400
nm, and sugar-absorption bands at around 945 and 1300 nm. Moreover, for the
first three latent variables – which accounted for 72%, 13% and 6% of variance,
respectively= the area around 940 and 970 nm exerted the most influence, with
alternating directions: i.e. if it was positive at 940 nm, it was negative at
970 nm and vice versa. This shows the existence of an inverse relationship
between variation in water content of the fruit and SSC in the juice, during
postharvest storage.
In Perez-Marin et al., (2009) Non-destructive determination
of quality parameters in nectarines during on-tree ripening and postharvest
storage. Post Biol and Tech.
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