ified in ten groups defined by their similarity to each of the respective models. 2.4.1. Obtention of an average silhouette for each cultivar The average silhouette is a representative image of seed shape for each cultivar. It was obtained in Corel Photo Paint, by the following protocol (a detailed video is available at Zenodo: https://zenodo.org/record/4478344#.YBPOguhKiM8): The layers containing the seeds are superimposed and the opacity is given a value of 3 in all layers. All the layers are combined, and the brightness is adjusted to a minimum value. From this image we are interested in the inner region representing the area where most of the seeds coincide, which is the darkest area. To
Open resource ↗Zenodo · 4478344 · pdf-raw-page:3 lines:1-37Unverified paper record
Seed Morphology in Key Spanish Grapevine Cultivars
24 Mar 2021 · 10.20944/preprints202103.0578.v1
Abstract
Ampelography, the botanical discipline dedicated to the identification and classification of grapevine cultivars, was grounded on the description of morphological characters and more recently is based on the application of DNA polymorphisms. New methods of image analysis may help to optimize morphological approaches in ampelography. The objective of this study was the classification of representative cultivars of Vitis vinifera conserved in the Spanish collection of IMIDRA according to seed shape. Thirty eight cultivars representing the diversity of this collection were analyzed. A consensus seed silhouette was defined for each cultivar representing the geometric figure that better adjusted to their seed shape. All the cultivars tested were classified in ten morphological groups, each corresponding to a new model. The models are geometric figures defined by equations and similarity to each model is evaluated by quantification of percent of the area shared by the two figures, the seed and the model (J index). The comparison of seed images with geometric models is a rapid and convenient method to classify cultivars. A large proportion of the collection may be classified according to the new models described and the method permits to find new models according to seed shape in other cultivars.
Plant phenotyping relevance
種子画像から形状を抽出し、幾何モデルと面積共有率でブドウ品種を分類する画像解析手法が研究の中心であり、再利用可能な植物形態フェノタイピング法に該当する。
abstractNew methods of image analysis may help to optimize morphological approaches in ampelography.
abstractThe models are geometric figures defined by equations and similarity to each model is evaluated by quantification of percent of the area shared by the two figures, the seed and the model (J index).
abstractThe comparison of seed images with geometric models is a rapid and convenient method to classify cultivars.
Code and data availability
The paper deposits its seed-image datasets and analysis materials in public Zenodo records: composed images of 30 seeds per accession (record 4433813), a video protocol for obtaining average silhouettes (record 4478344), a video of the J index calculation process (record 4478315), and the Mathematica code for the ten新的
below, the model in white. Right: Reed zones show the areas quantified in each of the figures. ImageJ gives the total area for the seed with the model in black, while shared area is obtained with the white model. 3. Results 3.1. New models The Mathematica code for the ten new models described in this work is stored in Zenodo: (https://zenodo.org/record/4478500#.YBPetOhKiM8). The following nine models were obtained from modifications in Model 7 [24] (between parenthesis the cultivars to which the model applies): Model Listán Prieto (Listán Prieto and Tortozona Tinta): ( 2 17 (√3300 − 90𝑥2 − 400 24 + 5𝑥2 ) + 𝑦) ( 25 187 (−√3300 − 90𝑥2 − 1200 60 + 𝑥6 ) + 𝑦) = 0; Model Sylvestris (wild varieties
Open resource ↗Zenodo · 4478500 · pdf-raw-page:4 lines:1-48This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.