Discrimination of Salix caprea, Salix gracilistyla, and Their Interspecific Hybrid Using Vegetative Characteristics and Partial Least Squares Discriminant Analysis

被引:1
|
作者
Seo, Han-Na [1 ]
Lim, Hyo-In [1 ]
Kim, Yong-Yul [1 ]
Chae, Seung-Beom [1 ]
Cho, Wonwoo [2 ]
机构
[1] Natl Inst Forest Sci, Forest Bioinformat Div, Suwon 16631, South Korea
[2] Natl Inst Forest Sci, Forest Tree Improvement Div, Suwon 16631, South Korea
关键词
accuracy; classification; DUS test; hybridization; variable influence on projection; VIP; variety; ANALYSIS PLS-DA; INFRARED-SPECTROSCOPY; CULTIVARS; CLASSIFICATION; SELECTION; MODELS; TOOL;
D O I
10.21273/HORTSCI16015-21
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Identifying the morphological characteristics that distinguish plant varieties is an important issue for plant breeders and researchers. The objective of the present study was to create a partial least squares discrimination analysis (PLS-DA) model with morphological characteristics for species discrimination and to select the characteristics most important for species discrimination. Data for 27 vegetative characteristics were obtained from Salix caprea and Salix gracilistyla, and their interspecific hybrid (S. caprea 3 S. gracilistyla), and used for PLS-DA. According to this analysis, seven of the 27 characteristics were identified as those that most influenced species discrimination, and the PLS-DA model with these seven characteristics had a classifi- cation accuracy of 86% to 100%. The classification performance of this model was not significantly different from that of the model with all 27 characteristics (full model). Therefore, these results indicated that the three species can be relatively well distinguished by the seven characteristics extracted by PLS-DA. In addition, the selected characteristics can be used to select cross-breeding parents in subsequent breeding programs and to test the distinction, uniformity, and stability (DUS test) of the hybrid variety. From this perspective, PLS-DA is thought to be a useful methodology for classifying new plant varieties and providing information for breeding.
引用
收藏
页码:1230 / 1238
页数:9
相关论文
共 50 条
  • [1] Discrimination of tobacco blends by using a partial least squares calibration as a discriminant analysis tool
    Dominguez, L.M.
    Seymour, S.K.
    Telecommunications Policy, 1994, 18 (08)
  • [2] Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis
    Aminu, Muhammad
    Ahmad, Noor Atinah
    ACS OMEGA, 2020, 5 (41): : 26601 - 26610
  • [3] Discrimination of Human and Nonhuman Blood by Raman Spectroscopy and Partial Least Squares Discriminant Analysis
    Bai, Pengli
    Wang, Jun
    Yin, Huancai
    Tian, Yubing
    Yao, Wenming
    Gao, Jing
    ANALYTICAL LETTERS, 2017, 50 (02) : 379 - 388
  • [4] DIAGNOSIS OF DEMENTIAS USING PARTIAL LEAST-SQUARES DISCRIMINANT-ANALYSIS
    GOTTFRIES, J
    BLENNOW, K
    WALLIN, A
    GOTTFRIES, CG
    DEMENTIA, 1995, 6 (02): : 83 - 88
  • [5] Nondestructive Discrimination of Pharmaceutical Preparations Using Near-Infrared Spectroscopy and Partial Least-Squares Discriminant Analysis
    Chen, Hui
    Lin, Zan
    Tan, Chao
    ANALYTICAL LETTERS, 2018, 51 (04) : 564 - 574
  • [6] Discrimination of wood biological decay by NIR and partial least squares discriminant analysis (PLS-DA)
    Yang Zhong
    Ren Hai-qing
    Jiang Ze-hui
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28 (04) : 793 - 796
  • [7] On the discrimination between facial creams of different brands using Raman Spectroscopy and partial least squares discriminant analysis for forensic application
    Asri, Muhammad Naeim Mohamad
    Verma, Rajesh
    Ibrahim, Muhammad Haffizzan
    Nor, Nor Azman Mohd
    Sharma, Vishal
    Ismail, Dzulkiflee
    SCIENCE & JUSTICE, 2021, 61 (06) : 687 - 696
  • [8] Sea State Estimation Using Quadratic Discriminant Analysis and Partial Least Squares Regression
    Arneson, Ina Bjorkum
    Brodtkorb, Astrid H.
    Sorensen, Asgeir J.
    IFAC PAPERSONLINE, 2019, 52 (21): : 72 - 77
  • [9] Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
    Chiang, LH
    Russell, EL
    Braatz, RD
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2000, 50 (02) : 243 - 252
  • [10] Discrimination of Transgenic Rice Based on Near Infrared Reflectance Spectroscopy and Partial Least Squares Regression Discriminant Analysis
    Zhang Long
    Wang Shan-shan
    Ding Yan-fei
    Pan Jia-rong
    Zhu Cheng
    RICE SCIENCE, 2015, 22 (05) : 245 - 249