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. 2022 Oct;1:None. doi: 10.1016/j.focha.2022.100141

Fig. 2.

Fig 2

PCA biplots and phenotypic distribution box plots of the pigmented rice collections (n = 385) based on multispectral imaging data obtained from videometer, phenolics content and mineral content arranged according to pericarp color (purple, variable purple, red, and white). PCA biplot of colorimetric parameters obtained from videometerLAB showed that 64.0% of variation is explained by PC1 while 27.8% is explained by PC2. PCA biplot of phenolic content of pigmented rice showed that 50.1% of variation is explained by PC1 while 19.2% is explained by PC2. PCA biplot of mineral content of pigmented rice showed that 39.2% of variation is explained by PC1 while 14.0% is explained by PC2. Abbreviated variables: L- whiteness, A- redness, B- yellowness, TPC – total phenolic content, TFC – total flavonoid content, TAC- total anthocyanin content, PC- phenolic content, FC- flavonoid content, AC- anthocyanin content, Mn - manganese content, Mo- molybdenum content, Na – sodium content, P – phosphorus content, S- sulphur content, Zn- zinc content, Ca- calcium content, Cu- copper content, Fe- iron content, K- potassium content, Mg- magnesium content.