综合比较、评价新疆不同产区甜菜的质量。通过对新疆5大产区甜菜块根品质相关的元素（K、Na、B、N、P、Mg、Fe、Ca、Zn、Mn、Cu）的测定，以上述11个成分的含量为指标，运用相关性、主成分（PCA）和聚类分析（CA）法对不同产地的34个甜菜进行综合质量评价研究。结果表明，不同产地甜菜中元素含量有明显差异，K、Na、B、N、P、Mg、Fe、Ca、Zn、Mn、Cu的平均含量分别为：2821.1、710.0、19.8、4855.2、736.9、2362.1、58.7、2590.1、58.7、602.0、18.7 mg/kg；主成分分析得出一个3因子模型，解释了试验数据的79.45%；第1、2主成分的方差累积贡献率达67.23%；PCA和CA分析将34个甜菜样品划分为5类，在一定程度上体现了甜菜样品的亲缘关系和地域分布特征。通过测定若干元素含量数据，利用PCA和CA清晰地揭示了新疆甜菜不同产地的规律性和差异性。

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.

国家自然科学基金项目（U1203183）；华南理工大学中央高校基本科研业务费专项基金资助项目（2014ZZ0050）；广东省农业领域科技计划项目（2013B020310006）