Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling

Detalhes bibliográficos
Autor(a) principal: Costa,Maria do Perpetuo Socorro Damasceno
Data de Publicação: 2020
Outros Autores: Rêgo,Elizanilda Ramalho do, Barroso,Priscila Alves, Silva,Anderson Rodrigo da, Rêgo,Mailson Monteiro do
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474
Resumo: ABSTRACT Multidimensional scaling is a multivariate analysis technique that can be used to exploit genetic diversity, aiming at the selection of Capsicum genotypes with desirable characteristics for in-pot ornamental purposes. This work aimed to select genotypes with ornamental potential within F4 populations of ornamental pepper plants. Three F4 families were used (17.18, 30.16, and 56.8). The genotype distance matrices were estimated based on qualitative and quantitative descriptors, separately, combining the standardized distances of Gower and Mahalanobis, respectively. The relation of the distance between genotypes was graphically studied through non-metric multidimensional scaling. Kruskal' Stress was used as the measured misadjustment of the nMDS solution. There is genetic diversity within the analyzed families, allowing to practice selection. The selection in family 17.18 of genotypes 6 and 32 is recommended, as well as in family 30.16 of genotypes 22 and 4, and family 56.8 of genotypes 15 and 36, since they present important characteristics for ornamental purposes. The selection of genotypes is more efficient when using mixed data since it provides a more complete genetic diversity in an improvement program.
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spelling Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scalingMultivariate analysisgenetic diversityGowerMahalanobis.ABSTRACT Multidimensional scaling is a multivariate analysis technique that can be used to exploit genetic diversity, aiming at the selection of Capsicum genotypes with desirable characteristics for in-pot ornamental purposes. This work aimed to select genotypes with ornamental potential within F4 populations of ornamental pepper plants. Three F4 families were used (17.18, 30.16, and 56.8). The genotype distance matrices were estimated based on qualitative and quantitative descriptors, separately, combining the standardized distances of Gower and Mahalanobis, respectively. The relation of the distance between genotypes was graphically studied through non-metric multidimensional scaling. Kruskal' Stress was used as the measured misadjustment of the nMDS solution. There is genetic diversity within the analyzed families, allowing to practice selection. The selection in family 17.18 of genotypes 6 and 32 is recommended, as well as in family 30.16 of genotypes 22 and 4, and family 56.8 of genotypes 15 and 36, since they present important characteristics for ornamental purposes. The selection of genotypes is more efficient when using mixed data since it provides a more complete genetic diversity in an improvement program.Universidade Federal de Viçosa2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474Revista Ceres v.67 n.6 2020reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x202067060007info:eu-repo/semantics/openAccessCosta,Maria do Perpetuo Socorro DamascenoRêgo,Elizanilda Ramalho doBarroso,Priscila AlvesSilva,Anderson Rodrigo daRêgo,Mailson Monteiro doeng2020-11-05T00:00:00ZRevista
dc.title.none.fl_str_mv Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
title Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
spellingShingle Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
Costa,Maria do Perpetuo Socorro Damasceno
Multivariate analysis
genetic diversity
Gower
Mahalanobis.
title_short Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
title_full Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
title_fullStr Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
title_full_unstemmed Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
title_sort Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
author Costa,Maria do Perpetuo Socorro Damasceno
author_facet Costa,Maria do Perpetuo Socorro Damasceno
Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
author_role author
author2 Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Costa,Maria do Perpetuo Socorro Damasceno
Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
dc.subject.por.fl_str_mv Multivariate analysis
genetic diversity
Gower
Mahalanobis.
topic Multivariate analysis
genetic diversity
Gower
Mahalanobis.
dc.description.none.fl_txt_mv ABSTRACT Multidimensional scaling is a multivariate analysis technique that can be used to exploit genetic diversity, aiming at the selection of Capsicum genotypes with desirable characteristics for in-pot ornamental purposes. This work aimed to select genotypes with ornamental potential within F4 populations of ornamental pepper plants. Three F4 families were used (17.18, 30.16, and 56.8). The genotype distance matrices were estimated based on qualitative and quantitative descriptors, separately, combining the standardized distances of Gower and Mahalanobis, respectively. The relation of the distance between genotypes was graphically studied through non-metric multidimensional scaling. Kruskal' Stress was used as the measured misadjustment of the nMDS solution. There is genetic diversity within the analyzed families, allowing to practice selection. The selection in family 17.18 of genotypes 6 and 32 is recommended, as well as in family 30.16 of genotypes 22 and 4, and family 56.8 of genotypes 15 and 36, since they present important characteristics for ornamental purposes. The selection of genotypes is more efficient when using mixed data since it provides a more complete genetic diversity in an improvement program.
description ABSTRACT Multidimensional scaling is a multivariate analysis technique that can be used to exploit genetic diversity, aiming at the selection of Capsicum genotypes with desirable characteristics for in-pot ornamental purposes. This work aimed to select genotypes with ornamental potential within F4 populations of ornamental pepper plants. Three F4 families were used (17.18, 30.16, and 56.8). The genotype distance matrices were estimated based on qualitative and quantitative descriptors, separately, combining the standardized distances of Gower and Mahalanobis, respectively. The relation of the distance between genotypes was graphically studied through non-metric multidimensional scaling. Kruskal' Stress was used as the measured misadjustment of the nMDS solution. There is genetic diversity within the analyzed families, allowing to practice selection. The selection in family 17.18 of genotypes 6 and 32 is recommended, as well as in family 30.16 of genotypes 22 and 4, and family 56.8 of genotypes 15 and 36, since they present important characteristics for ornamental purposes. The selection of genotypes is more efficient when using mixed data since it provides a more complete genetic diversity in an improvement program.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
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=S0034-737X2020000600474
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737x202067060007
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 Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.67 n.6 2020
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
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