Principal Components Analysis and Cluster Analysis of Physicochemical Properties of Starch from Different Cultivars of Millet
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Abstract:
The size, chemical composition, iodine blue value, light transmittance and pasting properties of starch granules were analyzed with 17 cultivars of starch, and principal components analysis and cluster analysis were used to evaluate the millet starch properties. The results showed that the correlation between the millet starch properties indicators was significant, and the absolute values of 79% were more than 0.30The relationship between indicators was analyzed by principal components analysis and the comprehensive evaluation of millet starch properties were investigated by analysis of principal components. Two obtained components reflected 86.976% information of the original variability based on the total variance by principal components analysis. According to the comprehensive scores of principal components, Datong 29, A3, A1, Yugu1 and Yugu9 were in the top five by comprehensive principal components score, and the starch quality was better; comprehensive score of Jingu21, Jigu11, Xia1, JiGu21 and A2 was low, and the starch quality was poor. 17 millet varieties were divided into 3 groups by cluster analysis, the results of cluster analysis were consistent with comprehensive scores, and the correlation between millet starch characteristics was significant. These results could provide theoretical basis for further processing of millet.
