Endosperm structure and Glycemic Index of Japonica Italian rice varieties.

The use of a multivariate exploratory approach based on PCA also allowed inspecting the relationships among the morphological parameters algorithmically extracted from the SEM images: an interesting trend related to the GI could be observed, showing that most of the samples with low GI tend to have larger starch granules, while at the same time they exhibit lower porosity values.

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