title: Application of visible and near-infrared spectroscopy to classification of Miscanthus species.
abstract: The feasibility of visible and near infrared (NIR) spectroscopy as tool to classify Miscanthus samples was explored in this study. Three types of Miscanthus plants, namely, M. sinensis, M. sacchariflorus and M. fIoridulus, were analyzed using a NIR spectrophotometer. Several classification models based on the NIR spectra data were developed using line discriminated analysis (LDA), partial least squares (PLS), least squares support vector machine regression (LSSVR), radial basis function (RBF) and neural network (NN). The principal component analysis (PCA) presented rough classification with overlapping samples, while the models of Line_LSSVR, RBF_LSSVR and RBF_NN presented almost same calibration and validation results. Due to the higher speed of Line_LSSVR than RBF_LSSVR and RBF_NN, we selected the line_LSSVR model as a representative. In our study, the model based on line_LSSVR showed higher accuracy than LDA and PLS models. The total correct classification rates of 87.79 and 96.51% were observed based on LDA and PLS model in the testing set, respectively, while the line_LSSVR showed 99.42% of total correct classification rate. Meanwhile, the lin_LSSVR model in the testing set showed correct classification rate of 100, 100 and 96.77% for M. sinensis, M. sacchariflorus and M. fIoridulus, respectively. The lin_LSSVR model assigned 99.42% of samples to the right groups, except one M. fIoridulus sample. The results demonstrated that NIR spectra combined with a preliminary morphological classification could be an effective and reliable procedure for the classification of Miscanthus species.
authors.affiliation: Department of Agronomy & The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, China.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Jin
authors.affiliation: Department of Agronomy & The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, China.
authors.forename: Xiaoling
authors.initials: X
authors.lastname: Chen
authors.affiliation: Hunan Provincial Key Laboratory for Germplasm Innovation and Utilization of Crop, Hunan Agricultural University, Hunan Changsha, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Xiao
authors.affiliation: Department of Agronomy & The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, China.
authors.forename: Chunhai
authors.initials: C
authors.lastname: Shi
authors.affiliation: Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Chen
authors.affiliation: Wuhan Junxiu Horticultural Science and Technology Co., Ltd. Wuhan, Hubei, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Yu
authors.affiliation: Hunan Provincial Key Laboratory for Germplasm Innovation and Utilization of Crop, Hunan Agricultural University, Hunan Changsha, China.
authors.forename: Zili
authors.initials: Z
authors.lastname: Yi
authors.affiliation: Kangwon National University, Chuncheon, Gangwon, South Korea.
authors.forename: Ji Hye
authors.initials: JH
authors.lastname: Yoo
authors.affiliation: Kangwon National University, Chuncheon, Gangwon, South Korea.
authors.forename: Kweon
authors.initials: K
authors.lastname: Heo
authors.affiliation: Kangwon National University, Chuncheon, Gangwon, South Korea.
authors.forename: Chang Yeon
authors.initials: CY
authors.lastname: Yu
authors.affiliation: Field Science Center for Northern Biosphere, Hokkaido University, Sapporo, Hokkaido, Japan.
authors.forename: Toshihiko
authors.initials: T
authors.lastname: Yamada
authors.affiliation: Department of Crop Sciences, University of Illinois, Urbana-Champaign, Urbana, Illinois, United States of America.
authors.forename: Erik J
authors.initials: EJ
authors.lastname: Sacks
authors.affiliation: Life Science and Technology Center, China National Seed Group Co., Ltd., Wuhan, Hubei, China.
authors.forename: Junhua
authors.initials: J
authors.lastname: Peng
mesh_terms: D018533:Biomass; D016002:Discriminant Analysis; D016018:Least-Squares Analysis; D008954:Models, Biological; D016571:Neural Networks, Computer; D006109:Poaceae / Q000737:chemistry / Q000145:classification* / Q000254:growth & development; D025341:Principal Component Analysis; D013045:Species Specificity; D019265:Spectroscopy, Near-Infrared; D013057:Spectrum Analysis; D060388:Support Vector Machine