Ruixia Xie , Xiaochuan Zhang , Linke Wu , Zhiqian Guo , Guohui Zhang , Bangqiang Yu

Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, 756000, P.R. China
Author    Correspondence author
Molecular Plant Breeding, 2021, Vol. 12, No. 28   doi: 10.5376/mpb.2021.12.0028
Received: 16 Sep., 2021    Accepted: 24 Sep., 2021    Published: 20 Oct., 2021

This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Xie R.X., Zhang X.C., Wu L.K., Guo Z.Q., Zhang G.H., and Yu B.Q., 2021, Main quality traits analysis and evaluation of potato germplasms, Molecular Plant Breeding, 12(28): 1-8 (doi:10.5376/mpb.2021.12.0028)

To improve the utilization efficiency of potato germplasm resources, the quality traits of 172 potato germplasms were analyzed. The results indicated that: (1) The variation coefficient of reducing sugar was the largest (66.67%), and the range was 0.093~1.11 g/100g; The variation coefficient of crude protein was larger (21.11%), and the range was 1.12~3.57 g/100 g; The variation coefficient of dry matter was the smallest (12.85%), and the range was 14.6%~30.6%. (2) The results of correlation analysis showed, it was very significantly negative correlation between reducing sugar and dry matter, crude protein or crude starch, a significantly negative correlation with vitamin C, other quality traits were significantly positively correlated. (3) principal component analysis showed that the cumulative contribution rate of the four factors reached 97.75%. as followed dry matter (47.98%), reducing sugar (26.42%), vitamin C (16.54%) and crude protein (6.81%). (4) All potato germplasms were classified into three groups at the level of D=23. Class I had the highest dry matter and vitamin C, class IV contained crude protein. The above conclusions will be beneficial to improve the utilization efficiency of potato germplasm and accelerate quality breeding.

Potato germplasm; Quality traits; Principle component analysis; Clustering analysis