Seed Morphology in the Vitaceae Based on Geometric Models

Morphometric methods based on artificial vision algorithms provide measurements for magnitudes descriptive of seed images (i.e., the length, width, area, and surface circularity index). Nevertheless, their results frequently omit the resemblance of the images to geometric figures that may be used as...

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Bibliographic Details
Published in:Agronomy (Basel) 2020-05, Vol.10 (5), p.739
Main Authors: Martín-Gómez, José Javier, Gutiérrez del Pozo, Diego, Ucchesu, Mariano, Bacchetta, Gianluigi, Cabello Sáenz de Santamaría, Félix, Tocino, Ángel, Cervantes, Emilio
Format: Article
Language:English
Subjects:
Blindness
Comparative analysis
geometric curves
Grapes
heart-shaped
image analysis
J index
morphology
Seeds
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Summary:Morphometric methods based on artificial vision algorithms provide measurements for magnitudes descriptive of seed images (i.e., the length, width, area, and surface circularity index). Nevertheless, their results frequently omit the resemblance of the images to geometric figures that may be used as models. A complementary method based on the comparison of seed images with geometric models is applied to seeds of Vitis spp. The J index gives the percentage of similarity between a seed image and the model. Seven new geometric models are described based on the heart-shaped and piriform curves. Seeds of different species, subspecies and cultivars of Vitis adjust to different models. Models 1 and 3, the heart curve and the water drop, adjust better to seeds of V. amurensis, V. labrusca and V. rupestris than to V. vinifera. Model 6, the Fibonacci’s pear, adjusts well to seeds of V. vinifera, in general, and better to V. vinifera ssp. vinifera than to V. vinifera ssp. sylvestris. Seed morphology in species of Cissus and Parthenocissus, two relatives of Vitis in the Vitaceae, is also analysed. Geometric models are a tool for the description and identification of species and lower taxonomic levels complementing the results of morphometric analysis.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy10050739