2012
DOI: 10.1016/j.bse.2011.10.018
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Phylogeography of Ulmus elongata based on Fourier transform-infrared spectroscopy (FTIR), thermal gravimetric and differential thermal analyses

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Cited by 8 publications
(3 citation statements)
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“…Further, hierarchical clustering was used to classify lactic acid bacteria by using FTIR spectroscopy data [38]. Heterogeneity cluster analysis of oat and pea roots was investigated using FTIR spectral data [39]. Similarly, adenocarcinoma diagnosis was performed using the cluster analysis of DNA FTIR data [40].…”
Section: Analysis Of Genetic Relationshipmentioning
confidence: 99%
“…Further, hierarchical clustering was used to classify lactic acid bacteria by using FTIR spectroscopy data [38]. Heterogeneity cluster analysis of oat and pea roots was investigated using FTIR spectral data [39]. Similarly, adenocarcinoma diagnosis was performed using the cluster analysis of DNA FTIR data [40].…”
Section: Analysis Of Genetic Relationshipmentioning
confidence: 99%
“…The results were postulated to have direct implications for the assessment of fossil potential and the chemotaxonomic interpretation of modern and fossil gymnosperm exudates. Recently, phylogenetic relationships among Ulmus elongata trees collected from 7 regions in China were studied by FTIR spectroscopy, thermal gravimetric (TG) and differential thermal (DT) analysis [20]. The results obtained by FTIR spectroscopy, combined with the TG and DT analysis were proposed to be suitable to determine the phylogenetic relationships between U. elongata populations.…”
Section: Introductionmentioning
confidence: 99%
“…Its subsequent uses include phenotyping in breeding programs (Cabrera‐Bosquet et al, 2012 ) and vegetation analyses focusing on diversity (Hill et al, 1988 ) and vegetation health (Pontius et al, 2005 ). A number of taxonomic studies have used IRS to differentiate species (Lu et al, 2008a ; Lang et al, 2015 ; Prata et al, 2018 ), hybrids (Stasinski et al, 2021 ), or even intraspecific units (Gao et al, 2012 ), sometimes demonstrating superior results to DNA barcoding (Durgante et al, 2013 ). Meireles et al ( 2020 ) even studied spectra across seed plants and found a phylogenetic signal.…”
mentioning
confidence: 99%