Application of PCA Method to Characterize Strawberry

Abstract:

Physical and chemical properties were measured to study quality of 5 strawberry cultivars, which were fruit weight, firmness, vitamin C, total sugar, total anthocyanin, total phenols, pH, total soluble solid, titratable acid, crude protein and juice yield. The result showed that PC1 explained 54.519% of the total variance in the data set, PC2 explained 28.184% and PC3 explained 9.252%. Accumulative variance contribution of these three main compositions extracted by principal component analysis was 91.954%. Eleven properties could reduce to three main components, and five strawberry cultivars were distinguished based on PC scores.

• Periodical: Advanced Materials Research (Volumes 1061-1062)
• Pages: 319-323
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1061-1062.319
• Online since: December 2014
• Authors: Li Li, Bin Li, Qi Zhang, Li Yan Gong, Xian Jun Meng*
• Keywords: Chemical Properties, Physical Properties, Principal Component Analysis, Strawberry

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