Multivariate analysis as a key tool in chemotaxonomy of brinjal eggplant, African eggplants and wild related species

Haliński, Łukasz P.; Samuels, John; Stepnowski, Piotr

doi:10.1016/j.phytochem.2017.09.001

Cited by 13 publications

(11 citation statements)

References 26 publications

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“…algarbiensis . The use of multivariate analysis techniques such as PCA for data processing in chemotaxonomic studies and plant classification has been successfully applied by previous authors [43–45] . The first component (PC1) explains 27.61 % of the variance whereas the second (PC2) explains 26.51 %, and the third 22.36 % ( Table S3 ).…”

Section: Resultsmentioning

confidence: 99%

Inter‐Individual versus Inter‐Population Variability of Calendula suffruticosa subsp. algarbiensis Hexane Extracts

Ohse

Marques

Silveira

et al. 2021

Chemistry & Biodiversity

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Calendula suffruticosa subsp. algarbiensis (Boiss.) Nyman is very common on the Portuguese coast, but it has only recently begun to be studied chemically and belongs to a genus of difficult taxonomic classification. To improve the knowledge on the chemical variability of this taxon and evaluate the possible use of this tool for taxonomical purposes, the aim of this work was to determine the extent of chemical variation between individuals collected in the same geographic region, and to compare with samples mixing fragments of several individuals each (populations) from different local environments. Overall, hexane extract analysis by GC/MS allowed to identify 42 compounds, eight fatty acids, 24 terpenoids, three alcohols, five alkanes, and two pollutants. Greater chemical differences were found between individuals, grown in the same region, than were found between population samples from different regions. Additionally, 25 phytochemicals were identified for this taxon for the first time and may be used for taxonomic classification, even to distinguish between subspecies of C. suffruticosa. Furthermore, plants collected near urban areas accumulated pollutants, indicating the importance of controlling local environmental conditions when C. suffruticosa cultivation is for human consumption.

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Section: Resultsmentioning

confidence: 99%

Inter‐Individual versus Inter‐Population Variability of Calendula suffruticosa subsp. algarbiensis Hexane Extracts

Ohse

Marques

Silveira

et al. 2021

Chemistry & Biodiversity

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“…Scarlet eggplant (S. aethiopicum L.) and its wild ancestor (S. anguivi Lam. ), while much more diverse morphologically, were also suggested to be genetically and taxonomically very similar (Haliński et al 2017;Stedje and Bukenya-Ziraba 2003), which was recently confirmed by Acquadro et al (2017). The cultivated plants can be divided into three main groups: Gilo group is grown for its fruits, Shum group-for edible leaves, and Kumba group-for both fruits and leaves (Lester and Daunay 2001;Lester and Seck 2004).…”

Section: Introductionmentioning

confidence: 84%

“…In case of S. dasyphyllum-S. macrocarpon complex, this type of selection seems very probable, as the reduction in number and size of prickles in cultivated plants was quite obvious and was previously reported (Lester and Daunay 2001). While it was also already suggested that both plants are in fact different morphological forms of a single species (Bukenya and Carasco 1994;Haliński et al 2017), and that intermediate forms occur (Lester and Daunay 2001), it could be assumed that the selection was directed simply to obtain plants lacking prickles, which is of special importance in case of leafy vegetables. Similar mechanism was, however, not confirmed for the sister species complex S. anguivi-S. aethiopicum, where prickles were not found, neither in wild S. anguivi nor in cultivated S. aethiopicum plants from Gilo and Kumba groups.…”

Section: Changes In Chemical Composition During Plant Domesticationmentioning

confidence: 99%

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Impact of plant domestication on selected nutrient and anti-nutrient compounds in Solanaceae with edible leaves (Solanum spp.)

Haliński

Topolewska

Rynkowska

et al. 2018

Genet Resour Crop Evol

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Several African Solanum species, including scarlet eggplant (Solanum aethiopicum L.) and the gboma eggplant (S. macrocarpon L.), are recently domesticated green leafy vegetables. The aim of the study was to determine if domestication process affected the amounts of selected nutrient and antinutrient compounds in plant lines bearing edible and inedible leaves in comparison to their wild relatives. Leaves from fourteen accessions of five Solanum species were evaluated for phenolics (385-1002 mg gallic acid equivalent/100 g dry weight), fatty acid (0.9-3.2 g/100 g DW), sterol (32-99 mg/100 g DW), saponin and glycoalkaloid content (0-1000 mg and 0-55 mg/100 g DW, respectively, expressed as aglycone content). There were no significant differences between plants with edible and inedible leaves. Similarly, wild and domesticated plants produced comparable amounts of nutrient and anti-nutrient compounds, with exception of wild S. anguivi Lam., which displayed fatty acid content higher than other species. The gboma eggplant complex (S. macrocarpon-S. dasyphyllum Schum. et Thonn.) had lower anti-nutrient and phenolics content than scarlet eggplant (S. aethiopicum-S. anguivi). Semi-domesticated S. scabrum Mill. revealed high anti-nutrient and low nutrient production. Selection based on plant morphology is then suggested as the dominating mechanism at the early stage of domestication of African solanaceous plants.

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“…The traditional method of sorting seeds typically relies on manual inspection [2,3], which is inefficient and subjective, as the inspection procedures are time-consuming and require experienced seed analysts. Researchers also used chemical classification markers and multivariate analysis techniques to discriminate eggplant seeds [4]. They have clearly shown that it is difficult to identify plant accessions.…”

Section: Introductionmentioning

confidence: 99%

Research on Classification Method of Eggplant Seeds Based on Machine Learning and Multispectral Imaging Classification Eggplant Seeds

et al. 2021

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In this study, eggplant seeds of fifteen different varieties were selected for discriminant analyses with a multispectral imaging technique. Seventy-eight features acquired with the multispectral images were extracted from individual eggplant seeds, which were then classified using SVM and a one-dimensional convolutional neural network (1D-CNN), and the overall accuracy was 90.12% and 94.80%, respectively. A two-dimensional convolutional neural network (2D-CNN) was also adopted for discrimination of seed varieties, and an accuracy of 90.67% was achieved. This study not only demonstrated that multispectral imaging combining machine learning techniques could be used as a high-throughput and nondestructive tool to discriminate seed varieties but also revealed that the shape of the seed shell may not be exactly the same as the female parents due to the genetic and environmental factors.

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Multivariate analysis as a key tool in chemotaxonomy of brinjal eggplant, African eggplants and wild related species

Cited by 13 publications

References 26 publications

Inter‐Individual versus Inter‐Population Variability of Calendula suffruticosa subsp. algarbiensis Hexane Extracts

Inter‐Individual versus Inter‐Population Variability of Calendula suffruticosa subsp. algarbiensis Hexane Extracts

Impact of plant domestication on selected nutrient and anti-nutrient compounds in Solanaceae with edible leaves (Solanum spp.)

Research on Classification Method of Eggplant Seeds Based on Machine Learning and Multispectral Imaging Classification Eggplant Seeds

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