Principal Component Analysis and Cluster Analysis of the Elements in Sugar Beet Roots of Different Geographical Origins in Xinjiang
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Abstract:
The quality of sugar beet roots from different geographical regions in Xinjiang was comprehensively evaluated. The content of 11 elements (potassium, sodium, boron, nitrogen, phosphorous, magnesium, iron, calcium, zinc, manganese, and copper) in 34 sugar beet root samples collected from five major production regions in Xinjiang were determined and used as indicators to comprehensively evaluate quality by principal component analysis (PCA) and cluster analysis (CA). There were significant differences among the element content between sugar beet roots from different geographical regions. The average content of potassium, sodium, boron, nitrogen, phosphorous, magnesium, iron, calcium, zinc, manganese, and copper in sugar beet roots were 2821.1, 710.0, 19.8, 4855.2, 736.9, 2362.1, 58.7, 2590.1, 58.7, 602.0, and 18.7 mg/kg, respectively. A three-factor model was obtained from the PCA and accounted for 79.45% of the total variance. The cumulative contribution of the first and second components to the total variance was 67.23%. The 34 sugar beet root samples were classi?ed into five groups by PCA and CA, reflecting genetic relationshipi and geographical distribution of sugar beet root samples to some extent. Based on the content of several elements, the overall pattern and differences among sugar beet roots from different geographical origins in Xinjiang were clearly revealed by PCA and CA.