Rapid discrimination of commercial strawberry cultivars using fourier transform infrared spectroscopy data combined by multivariate analysis

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Title
Rapid discrimination of commercial strawberry cultivars using fourier transform infrared spectroscopy data combined by multivariate analysis
Author(s)
Suk Weon KimSung Ran Min; Jong Hyun Kim; S K Park; T I Kim; Jang Ryol Liu
Bibliographic Citation
Plant Biotechnology Reports, vol. 3, no. 1, pp. 87-93
Publication Year
2009
Abstract
To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts can be used to discriminate cultivars metabolically, leaves and fruits of five commercial strawberry cultivars were subjected to Fourier transform infrared (FT-IR) spectroscopy. FT-IR spectral data from leaves were analyzed by principal component analysis (PCA) and Fisher's linear discriminant function analysis. The dendrogram based on hierarchical clustering analysis of these spectral data separated the five commercial cultivars into two major groups with originality. The first group consisted of Korean cultivars including 'Maehyang', 'Seolhyang', and 'Gumhyang', whereas in the second group, 'Ryukbo' clustered with 'Janghee', both Japanese cultivars. The results from analysis of fruits were the same as of leaves. We therefore conclude that the hierarchical dendrogram based on PCA of FT-IR data from leaves represents the most probable chemotaxonomical relationship between cultivars, enabling discrimination of cultivars in a rapid and simple manner.
Keyword
fourier transformation infrared spectroscopyfragaria ananassalinear discriminant function analysisprincipal component analysis
ISSN
1863-5466
Publisher
Springer
DOI
http://dx.doi.org/10.1007/s11816-008-0078-z
Type
Article
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
Division of Research on National Challenges > Plant Systems Engineering Research > 1. Journal Articles
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