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Updated Methods for Seed Shape Analysis

Morphological variation in seed characters includes differences in seed size and shape. Seed shape is an important trait in plant identification and classification. In addition it has agronomic importance because it reflects genetic, physiological, and ecological components and affects yield, qualit...

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Detalles Bibliográficos
Autores principales: Cervantes, Emilio, Martín, José Javier, Saadaoui, Ezzeddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846768/
https://www.ncbi.nlm.nih.gov/pubmed/27190684
http://dx.doi.org/10.1155/2016/5691825
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author Cervantes, Emilio
Martín, José Javier
Saadaoui, Ezzeddine
author_facet Cervantes, Emilio
Martín, José Javier
Saadaoui, Ezzeddine
author_sort Cervantes, Emilio
collection PubMed
description Morphological variation in seed characters includes differences in seed size and shape. Seed shape is an important trait in plant identification and classification. In addition it has agronomic importance because it reflects genetic, physiological, and ecological components and affects yield, quality, and market price. The use of digital technologies, together with development of quantification and modeling methods, allows a better description of seed shape. Image processing systems are used in the automatic determination of seed size and shape, becoming a basic tool in the study of diversity. Seed shape is determined by a variety of indexes (circularity, roundness, and J index). The comparison of the seed images to a geometrical figure (circle, cardioid, ellipse, ellipsoid, etc.) provides a precise quantification of shape. The methods of shape quantification based on these models are useful for an accurate description allowing to compare between genotypes or along developmental phases as well as to establish the level of variation in different sets of seeds.
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spelling pubmed-48467682016-05-17 Updated Methods for Seed Shape Analysis Cervantes, Emilio Martín, José Javier Saadaoui, Ezzeddine Scientifica (Cairo) Review Article Morphological variation in seed characters includes differences in seed size and shape. Seed shape is an important trait in plant identification and classification. In addition it has agronomic importance because it reflects genetic, physiological, and ecological components and affects yield, quality, and market price. The use of digital technologies, together with development of quantification and modeling methods, allows a better description of seed shape. Image processing systems are used in the automatic determination of seed size and shape, becoming a basic tool in the study of diversity. Seed shape is determined by a variety of indexes (circularity, roundness, and J index). The comparison of the seed images to a geometrical figure (circle, cardioid, ellipse, ellipsoid, etc.) provides a precise quantification of shape. The methods of shape quantification based on these models are useful for an accurate description allowing to compare between genotypes or along developmental phases as well as to establish the level of variation in different sets of seeds. Hindawi Publishing Corporation 2016 2016-04-13 /pmc/articles/PMC4846768/ /pubmed/27190684 http://dx.doi.org/10.1155/2016/5691825 Text en Copyright © 2016 Emilio Cervantes et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Cervantes, Emilio
Martín, José Javier
Saadaoui, Ezzeddine
Updated Methods for Seed Shape Analysis
title Updated Methods for Seed Shape Analysis
title_full Updated Methods for Seed Shape Analysis
title_fullStr Updated Methods for Seed Shape Analysis
title_full_unstemmed Updated Methods for Seed Shape Analysis
title_short Updated Methods for Seed Shape Analysis
title_sort updated methods for seed shape analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846768/
https://www.ncbi.nlm.nih.gov/pubmed/27190684
http://dx.doi.org/10.1155/2016/5691825
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