Seed Morphology in Silene Based on Geometric Models

Seed description in morphology is often based on adjectives such as “spherical”, “globular”, or “reniform”, but this does not provide a quantitative method. A new morphological approach based on the comparison of seed images with geometric models provides a seed description in Silene species on a qu...

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Autores: Martín Gómez, José Javier, Rewicz, Agnieszka, Rodríguez-Lorenzo, José Luis, Janoušek, Bohuslav, Cervantes, Emilio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/225734
Acceso en línea:http://hdl.handle.net/10261/225734
Access Level:acceso abierto
Palabra clave:Cardioids
Geometric models
Seed morphology
Seed shape
Taxonomy
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spelling Seed Morphology in Silene Based on Geometric ModelsMartín Gómez, José JavierRewicz, AgnieszkaRodríguez-Lorenzo, José LuisJanoušek, BohuslavCervantes, EmilioCardioidsGeometric modelsSeed morphologySeed shapeTaxonomySeed description in morphology is often based on adjectives such as “spherical”, “globular”, or “reniform”, but this does not provide a quantitative method. A new morphological approach based on the comparison of seed images with geometric models provides a seed description in Silene species on a quantitative basis. The novelty of the proposed method is based in the comparison of the seed images with geometric models according to a cardioid shape. The J index is a measurement that indicates the seed percentage of similarity with a cardioid or cardioid-derived figures used as models. The seeds of Silene species have high values of similarity with the cardioid and cardioid-derived models (J index superior to 90). The comparison with different figures allows species description and differentiation. The method is applied here to seeds of 21 species and models are proposed for some of them including S. diclinis, an endangered species. The method is discussed in the context of previous comparison with the measures used in traditional morphometric analysis. The similarity of seed images with geometric figures opens a new perspective for the automatized taxonomical evaluation of samples linking seed morphology to functional traits in endangered Silene species.Peer reviewedMultidisciplinary Digital Publishing InstituteCervantes, Emilio [0000-0002-3874-1491]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/225734reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3390/plants9121787Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2257342026-05-22T06:33:51Z
dc.title.none.fl_str_mv Seed Morphology in Silene Based on Geometric Models
title Seed Morphology in Silene Based on Geometric Models
spellingShingle Seed Morphology in Silene Based on Geometric Models
Martín Gómez, José Javier
Cardioids
Geometric models
Seed morphology
Seed shape
Taxonomy
title_short Seed Morphology in Silene Based on Geometric Models
title_full Seed Morphology in Silene Based on Geometric Models
title_fullStr Seed Morphology in Silene Based on Geometric Models
title_full_unstemmed Seed Morphology in Silene Based on Geometric Models
title_sort Seed Morphology in Silene Based on Geometric Models
dc.creator.none.fl_str_mv Martín Gómez, José Javier
Rewicz, Agnieszka
Rodríguez-Lorenzo, José Luis
Janoušek, Bohuslav
Cervantes, Emilio
author Martín Gómez, José Javier
author_facet Martín Gómez, José Javier
Rewicz, Agnieszka
Rodríguez-Lorenzo, José Luis
Janoušek, Bohuslav
Cervantes, Emilio
author_role author
author2 Rewicz, Agnieszka
Rodríguez-Lorenzo, José Luis
Janoušek, Bohuslav
Cervantes, Emilio
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Cervantes, Emilio [0000-0002-3874-1491]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cardioids
Geometric models
Seed morphology
Seed shape
Taxonomy
topic Cardioids
Geometric models
Seed morphology
Seed shape
Taxonomy
description Seed description in morphology is often based on adjectives such as “spherical”, “globular”, or “reniform”, but this does not provide a quantitative method. A new morphological approach based on the comparison of seed images with geometric models provides a seed description in Silene species on a quantitative basis. The novelty of the proposed method is based in the comparison of the seed images with geometric models according to a cardioid shape. The J index is a measurement that indicates the seed percentage of similarity with a cardioid or cardioid-derived figures used as models. The seeds of Silene species have high values of similarity with the cardioid and cardioid-derived models (J index superior to 90). The comparison with different figures allows species description and differentiation. The method is applied here to seeds of 21 species and models are proposed for some of them including S. diclinis, an endangered species. The method is discussed in the context of previous comparison with the measures used in traditional morphometric analysis. The similarity of seed images with geometric figures opens a new perspective for the automatized taxonomical evaluation of samples linking seed morphology to functional traits in endangered Silene species.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/225734
url http://hdl.handle.net/10261/225734
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.3390/plants9121787
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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