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WANG Rong, HE Zhi-Chong, FANG Xue-Min, CHEN Dan-Li, WANG Qi, MENG Jia-Song, ZHAO Da-Qiu. Analysis of Phenotypic Diversity of Paeonia lactiflora Cultivars in Yangzhou[J]. Plant Science Journal, 2016, 34(6): 901-908. DOI: 10.11913/PSJ.2095-0837.2016.60901
Citation: WANG Rong, HE Zhi-Chong, FANG Xue-Min, CHEN Dan-Li, WANG Qi, MENG Jia-Song, ZHAO Da-Qiu. Analysis of Phenotypic Diversity of Paeonia lactiflora Cultivars in Yangzhou[J]. Plant Science Journal, 2016, 34(6): 901-908. DOI: 10.11913/PSJ.2095-0837.2016.60901
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Analysis of Phenotypic Diversity of Paeonia lactiflora Cultivars in Yangzhou

  • College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, Jiangsu 225009, China

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This work was supported by grants from the Natural Science Foundation of China (31400592) and College Academic Science and Technology Innovation Fund of Yangzhou University for Student (x2014558).

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  • Received Date: April 19, 2016
  • Revised Date: May 23, 2016
  • Available Online: October 31, 2022
  • Published Date: December 27, 2016
    Graphical Abstract
    • Abstract
  • We conducted a general survey on 170 cultivars of Paeonia lactiflora in Yangzhou University in 2015. The diversity of 11 different phenotypic traits were recorded and analyzed. The P. lactiflora cultivars exhibited rich phenotypic diversity, with an average diversity index of 1.538. Overall, the diversity index of quantitative traits was higher than that of the qualitative traits. Principal components analysis (PCA) revealed the top five principal components, with eigenvalues higher than one. The phenotypes selected from the five principal components reflected most of the information on the 170 types of P. lactiflora. The five morphological traits with the highest contribution rates were petal width, plant height, stamen number, leaf color and stem diameter. Through cluster analysis, the average genetic distance between different varieties was about 10.0, indicating that phenotypic variation was relatively high. Plant height and peony cluster results were strongly correlated.
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    • References (24)
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