Rapid discrimination of commercial strawberry cultivars using Fourier transform infrared spectroscopy data combined by multivariate analysis |
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Authors: | Suk Weon Kim Sung Ran Min Jonghyun Kim Sang Kyu Park Tae Il Kim Jang R Liu |
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Institution: | (1) Biological Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 111 Gwahangno, Yuseong-gu, Daejeon, 305-806, South Korea;(2) Plant Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 111 Gwahangno, Yuseong-gu, Daejeon, 305-806, South Korea;(3) Nonsan Strawberry Experiment Station, Chungcheong Nam-Do Agricultural Research and Extension Services, Nonsan, Chungnam, 320-862, South Korea |
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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.
The authors Suk Weon Kim and Sung Ran Min contributed equally to this work. |
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Keywords: | Fragaria ananassa Fourier transformation infrared spectroscopy Linear discriminant function analysis Principal component analysis |
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