Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência e Agrotecnologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600643 |
Resumo: | ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner. |
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Ciência e Agrotecnologia (Online) |
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Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seedsForest speciesimage analysismultivariate analysisrelative densityseed radiographyABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.Editora da UFLA2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600643Ciência e Agrotecnologia v.42 n.6 2018reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542018426023318info:eu-repo/semantics/openAccessMedeiros,André Dantas deAraújo,Joyce de OliveiraLeón,Manuel Jesús ZavalaSilva,Laércio Junio daDias,Denise Cunha Fernandes dos Santoseng2019-01-28T00:00:00Zoai:scielo:S1413-70542018000600643Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:36.889517Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
title |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
spellingShingle |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds Medeiros,André Dantas de Forest species image analysis multivariate analysis relative density seed radiography |
title_short |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
title_full |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
title_fullStr |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
title_full_unstemmed |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
title_sort |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds |
author |
Medeiros,André Dantas de |
author_facet |
Medeiros,André Dantas de Araújo,Joyce de Oliveira León,Manuel Jesús Zavala Silva,Laércio Junio da Dias,Denise Cunha Fernandes dos Santos |
author_role |
author |
author2 |
Araújo,Joyce de Oliveira León,Manuel Jesús Zavala Silva,Laércio Junio da Dias,Denise Cunha Fernandes dos Santos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Medeiros,André Dantas de Araújo,Joyce de Oliveira León,Manuel Jesús Zavala Silva,Laércio Junio da Dias,Denise Cunha Fernandes dos Santos |
dc.subject.por.fl_str_mv |
Forest species image analysis multivariate analysis relative density seed radiography |
topic |
Forest species image analysis multivariate analysis relative density seed radiography |
description |
ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600643 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600643 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1413-70542018426023318 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
Ciência e Agrotecnologia v.42 n.6 2018 reponame:Ciência e Agrotecnologia (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Ciência e Agrotecnologia (Online) |
collection |
Ciência e Agrotecnologia (Online) |
repository.name.fl_str_mv |
Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
||renpaiva@dbi.ufla.br|| editora@editora.ufla.br |
_version_ |
1799874970794328064 |