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CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2022, Vol. 44 ›› Issue (6): 1210-1217.doi: 10.19802/j.issn.1007-9084.2022191

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Comprehensive evaluation of Jihua peanut varieties with high oleic acid based on principal component and cluster analysis

Min-jie GUO1(), Li DENG1, Yu-rong Li2, Jin WANG2, Li REN1()   

  1. 1.Kaifeng Research Academy of Agriculture and Forestry, Kaifeng 475000, China
    2.Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, China
  • Received:2022-07-04 Online:2022-12-25 Published:2022-11-24
  • Contact: Li REN E-mail:guominjie2013@163.com;renli120@sina.com

Abstract:

To guide classification of peanut germplasm resources, principal component and cluster analysis were applied on 11 Jihua varieties with high oleic acid by using 3 years phenotype and re-sequencing data. Results showed that oil content variation coefficient among 15 traits was the smallest at 1.91%. The variation of yield characteristics was greater than quality except linoleic acid content. The positive correlation coefficient between hundred-pod weight and hundred-seed weight was extremely significant, and oleic acid content had a significant negative correlation with linoleic acid content. The cumulative contribution rate of the first two principal components was 78.99%. Cultivars were classified using phenotype traits, and the results were partially consistent with pedigree relationships. After data control, 320 000 high-quality SNP sites with uniform density distribution were obtained. 4 categories were from 11 varieties via genotype data. Meanwhile, varieties derived from the same combination were divided into one category, thus the results are consistent with variety pedigree relationship. Therefore, genotype data is more accurately on reflecting genetic basis of the varieties, and could provide reference for germplasm resources classification and utilization.

Key words: peanut, high oleic acid, principal component analysis, cluster analysis, phenotype, SNP site

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