Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/19221
Title: Seed image analysis and taxonomy of Diplotaxis DC. (Brassicaceae, Brassiceae)
Authors: Martínez, J.
Grillo, O.
Venora, G.
Keywords: computer vision
germplasm characterisation
linear discriminant analysis
morpho
colorimetric measurements
seed identification
statistical classification
metadata.dc.date.available: 2017-06-16T22:03:09Z
Publisher: Systematics and Biodiversity
Abstract: The genus Diplotaxis, comprising 32 or 34 species, plus several additional infraspecific taxa, displays a considerable degree of heterogeneity in the morphology, molecular markers, chromosome numbers and geographical amplitude of the species. The taxonomic relationships within the genus Diplotaxis were investigated by phenetic characterisation of germplasm belonging to 27 taxa of the genus, because there is an increasing interest in Diplotaxis, since some of its species (D. tenuifolia, D. muralis) are gathered or cultivated for human consumption, whereas others are frequent arable weeds (D. erucoides) in many European vineyards. Using a computer-aided vision system, 33 morpho-colorimetric features of seeds were electronically measured. The data were used to implement a statistical classifier, which is able to discriminate the taxa within the genus Diplotaxis, in order to compare the resulting species grouping with the current infrageneric systematics of this genus. Despite the high heterogeneity of the samples, due to the great intra-population variability, the stepwise Linear Discriminant Analysis method, applied to distinguish the groups, was able to reach over 80% correct identification. The results obtained allowed us to confirm the current taxonomic position of most taxa and suggested the taxonomic position of others for reconsideration. © 2012 The Natural History Museum.
metadata.dc.identifier.other: http://dx.doi.org/10.1080/14772000.2012.658881
URI: http://dspace.utpl.edu.ec/handle/123456789/19221
ISBN: 14772000
Other Identifiers: http://dx.doi.org/10.1080/14772000.2012.658881
Other Identifiers: http://dx.doi.org/10.1080/14772000.2012.658881
metadata.dc.language: Inglés
metadata.dc.type: Article
Appears in Collections:Artículos de revistas Científicas



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