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

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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Main Authors: Costa,Maria do Perpetuo Socorro Damasceno, Rêgo,Elizanilda Ramalho do, Barroso,Priscila Alves, Silva,Anderson Rodrigo da, Rêgo,Mailson Monteiro do
Format: Digital revista
Language:English
Published: Universidade Federal de Viçosa 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474
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spelling oai:scielo:S0034-737X20200006004742022-04-06Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scalingCosta,Maria do Perpetuo Socorro DamascenoRêgo,Elizanilda Ramalho doBarroso,Priscila AlvesSilva,Anderson Rodrigo daRêgo,Mailson Monteiro do Multivariate analysis genetic diversity Gower Mahalanobis. 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.info:eu-repo/semantics/openAccessUniversidade Federal de ViçosaRevista Ceres v.67 n.6 20202020-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474en10.1590/0034-737x202067060007
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country Brasil
countrycode BR
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libraryname SciELO
language English
format Digital
author Costa,Maria do Perpetuo Socorro Damasceno
Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
spellingShingle Costa,Maria do Perpetuo Socorro Damasceno
Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
author_facet Costa,Maria do Perpetuo Socorro Damasceno
Rêgo,Elizanilda Ramalho do
Barroso,Priscila Alves
Silva,Anderson Rodrigo da
Rêgo,Mailson Monteiro do
author_sort Costa,Maria do Perpetuo Socorro Damasceno
title Selection in segregating populations of ornamental pepper plants (Capsicum annuum L.) using multidimensional scaling
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
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.
publisher Universidade Federal de Viçosa
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2020000600474
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