Qianchao WANG, Zhiyou KONG, Junna LIU, et al. Analysis and Evaluation of the Genetic Characteristics of Main Nutrients and Antioxidant Components in Quinoa Seeds[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY(Natural Science), 2020, 35(6): 931-937. DOI: 10.12101/j.issn.1004-390X(n).202002034
Citation: Qianchao WANG, Zhiyou KONG, Junna LIU, et al. Analysis and Evaluation of the Genetic Characteristics of Main Nutrients and Antioxidant Components in Quinoa Seeds[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY(Natural Science), 2020, 35(6): 931-937. DOI: 10.12101/j.issn.1004-390X(n).202002034

Analysis and Evaluation of the Genetic Characteristics of Main Nutrients and Antioxidant Components in Quinoa Seeds

  • PurposeTo reveal the main nutrition and antioxidant components and evaluate the quality of quinoa germplasm resources.
    MethodEighty-nine high-generation lines of quinoa were chosen as the materials to determine the main nutrition and antioxidant components and correlation analysis, principal component analysis and cluster analysis were carried out.
    ResultThe average coefficient of variation of main nutrients and antioxidants content in 89 quinoa lines was 36.83%, which indicated that there were large differences in genetic characteristics among different quinoa lines. The coefficient of variation of each index was higher than 20%, especially the coefficient of variation of vitamin E was 49.78% with biggest genetic variation, furthermore, the coefficient of variation of soluble protein, which was the smallest (20.09%), with a relatively small change. Correlation analysis showed that there was a significant negative correlation between total amino acids and soluble protein content (P<0.01), but there was a significant positive correlation between total starch and soluble sugar (P<0.01). Ascorbic acid and flavonoids in antioxidants showed a significant positive correlation (P<0.01). Principal component analysis showed that the cumulative contribution rate of five principal components (the content of soluble protein, flavonoids, total amino acid, soluble sugar and total starch) to variation was as high as 88.36%. Cluster analysis divided 89 quinoa lines into five categories, and their genetic characteristics were not necessarily related to the source and color.
    ConclusionFrom the analysis, the four quinoa lines such as Dianli-2, Dianli-12, Dianli-14 and Dianli-111 were chosen for their superior comprehensive utilization value. The research could provide theoretical reference and material basis for the analysis and evaluation of quinoa main nutrition and antioxidant components genetic characteristics and the breeding of new varieties.
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