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

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.

Phenotypic characterization of sweet potato [Ipomoea batatas (L.) Lam.] genotypes in relation to prediction of chemical quality constituents by NIRS equations

“…Preliminary treatment of such data with Fast Fourier transformation has also been reported to be useful (Devaux et al. 1986, Kim et al. 2009) but was not attempted in the present study as the focus was on calibrations.…”

“…1986), barley (Munck and Møller 2005), red wine (Edelmann et al. 2001), strawberry (Kim et al. 2009) and potato varieties (Bonierbale et al.…”

“…However, not much work has been conducted on root and tuber crops, except on the temperate potato (Haase 2006) and a preliminary study to assess the sweet potato starch thermal properties and noodle quality of 93 varieties in China (Lu et al 2006). NIR spectral fingerprints have also been used to differentiate wheat varieties (Devaux et al 1986), barley (Munck and Møller 2005), red wine (Edelmann et al 2001), strawberry (Kim et al 2009) and potato varieties (Bonierbale et al 2009). These various studies indicate that NIRS could be a useful tool for sweet potato germplasm classification, varietal identification and selection.…”

Classification and fingerprinting of different berries based on biochemical profiling and antioxidant capacity

“…Two blueberry cultivars were classified in the same group, while the wild accession V. myrtillus distinguished as an independent genotype. Previously, this analysis was applied to biochemical profiling of many berries (Bordonaba & Terry, 2008;Kim et al, 2009;Gorinstein et al, 2013), and good results for the discrimination of species or cultivars were also obtained.…”

Rapid metabolic discrimination betweenZoysia japonicaandZoysia sinicabased on multivariate analysis of FT-IR spectroscopy

“…최근 FT-IR (Fourier transform infrared spectroscopy)의 대사 체 분석기술을 이용하여 대사체 수준에서 생물 종 식별이 보고되었다 (Krishnan et al 2005). 적외선분광분석(FT-IR)은 대사체 수준에서 시료간의 양적 및 질적 패턴 차이를 조사 하는 연구 분야로, 시료의 전세포추출물에 대한 적외선분 광 스펙트럼데이터를 다변량 통계분석기법을 통해 생물종 간의 유연관계를 식별할 수 있다 (Ahn et al 2015;Kim et al 2004;Kim et al 2007;Kim et al 2009;Kwon et al 2011;Kwon et al 2014 (Fig. 2B).…”