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. 2016 Apr;24(2):367-375.
doi: 10.1016/j.jfda.2015.12.003. Epub 2016 Mar 2.

Characterizing diversity based on nutritional and bioactive compositions of yam germplasm (Dioscorea spp.) commonly cultivated in China

Zhi-Gang Wu  1 , Wu Jiang  1 , Mantri Nitin  2 , Xiao-Qing Bao  1   3 , Song-Lin Chen  1   3 , Zheng-Ming Tao  1
Affiliations

Characterizing diversity based on nutritional and bioactive compositions of yam germplasm (Dioscorea spp.) commonly cultivated in China

Zhi-Gang Wu et al. J Food Drug Anal. 2016 Apr.

Erratum in

Abstract

Yams (Dioscorea spp.) are widely cultivated as edible resources and medical materials in China. Characterizing chemical compositions in yam germplasm is crucial to determine their diversity and suitability for food and medicine applications. In this study, a core germplasm containing 25 yam landraces was used to create an effective classification of usage by characterizing their nutritive and medicinal compositions. All studied landraces exhibited high contents of starch from 60.7% to 80.6% dry weight (DW), protein (6.3-12.2% DW), minerals (especially Mg 326.8-544.7 mg/kg DW), and essential amino acids. Allantoin and dioscin varied considerably, with values of 0.62-1.49% DW and 0.032-0.092% DW, respectively. The quality variability of 25 yam landraces was clearly separated in light of UPGMA clustering and principal component analysis (PCA). Using an eigenvalue ≥1 as the cutoff, the first three principal components accounted for most of the total variability (62.33%). Classification was achieved based on the results of the measured parameters and principal component analysis scores. The results are of great help in determining appropriate application strategies for yam germplasm in China.

Keywords: China; bioactive constituents; diversity; nutritional compositions; yam.

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Conflict of interest statement

Conflicts of interest

All authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Dendrogram based on unweighted pair group method with arithmetic mean clustering and Euclidean distance for 25 yam landraces using eight nutritive and bioactive parameters of yams (see Table 1).
Figure 2
Figure 2
Score plots of principal component (PC) analysis for 25 yam landraces based on eight nutritive and bioactive parameters: (A) PC1 versus PC2; and (B) PC1 versus PC3.
See this image and copyright information in PMC

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