Divergence and genetic variability among superior rubber tree genotypes
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/7390 |
Resumo: | The objective of this work was to estimate the genetic variability and divergence among 22 superior rubber tree (Hevea sp.) genotypes of the IAC 400 series. Univariate and multivariate analyses were performed using eight quantitative traits (descriptors), including yield. In the univariate analyses, the estimated parameters were: genetic and environmental variances; genetic and environmental coefficients of variation; and the variation index. The Mahalanobis generalized distance, the Tocher agglomerative method and canonical variables were used for the multivariate analyses. In the univariate analyses, variability was verified among the genotypes for all the variables evaluated. The Tocher method grouped the genotypes into 11 clusters of dissimilarity. The first four canonical variables explained 87.93% of the cumulative variation. The highest genetic variability was found in rubber yield-related traits, which contributed the most to the genetic divergence. The most divergent pairs of genotypes are suggested for crossbreeding. The genotypes evaluated are suitable for breeding and may be used to continue the IAC rubber tree breeding program. |
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Divergence and genetic variability among superior rubber tree genotypesDivergência e variabilidade genética de genótipos superiores de seringueiraHevea brasiliensis; crossbreeding; multivariate analysis; selectionHevea brasiliensis; cruzamentos; análise multivariada; seleçãoThe objective of this work was to estimate the genetic variability and divergence among 22 superior rubber tree (Hevea sp.) genotypes of the IAC 400 series. Univariate and multivariate analyses were performed using eight quantitative traits (descriptors), including yield. In the univariate analyses, the estimated parameters were: genetic and environmental variances; genetic and environmental coefficients of variation; and the variation index. The Mahalanobis generalized distance, the Tocher agglomerative method and canonical variables were used for the multivariate analyses. In the univariate analyses, variability was verified among the genotypes for all the variables evaluated. The Tocher method grouped the genotypes into 11 clusters of dissimilarity. The first four canonical variables explained 87.93% of the cumulative variation. The highest genetic variability was found in rubber yield-related traits, which contributed the most to the genetic divergence. The most divergent pairs of genotypes are suggested for crossbreeding. The genotypes evaluated are suitable for breeding and may be used to continue the IAC rubber tree breeding program.O objetivo deste trabalho foi estimar a divergência e a variabilidade genética entre 22 genótipos superiores de seringueira (Hevea sp.) da série IAC 400. Análises univariadas e multivariadas foram realizadas com oito caracteres quantitativos (descritores), incluindo produtividade. Na análise univariada, os parâmetros estimados foram: variâncias genética e ambiental, coeficientes de variação genética e ambiental, e índice de variação. A distância generalizada de Mahalanobis, o método aglomerativo de Tocher e variáveis canônicas foram utilizados nas análises multivariadas. Nas análises univariadas, verificou-se variabilidade entre os genótipos para todas as variáveis avaliadas. O método de Tocher agrupou os genótipos em 11 grupos de dissimilaridade. As quatro primeiras variáveis canônicas explicaram 87,93% da variação acumulada. A maior variabilidade genética foi encontrada em variáveis relacionadas à produtividade de borracha, que foram as que mais contribuíram para a divergência genética. Os pares de genótipos identificados como mais divergentes são indicados para cruzamentos. Os genótipos avaliados são adequados para o melhoramento genético e podem ser utilizados para continuar o programa de melhoramento da seringueira do IAC.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFapesp, CNPqGouvêa, Lígia Regina LimaChiorato, Alisson FernandoGonçalves, Paulo de Souza2011-01-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7390Pesquisa Agropecuaria Brasileira; v.45, n.2, fev. 2010; 163-170Pesquisa Agropecuária Brasileira; v.45, n.2, fev. 2010; 163-1701678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/7390/6001https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3209https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3211https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3212info:eu-repo/semantics/openAccess2014-10-16T17:27:25Zoai:ojs.seer.sct.embrapa.br:article/7390Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-10-16T17:27:25Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Divergence and genetic variability among superior rubber tree genotypes Divergência e variabilidade genética de genótipos superiores de seringueira |
title |
Divergence and genetic variability among superior rubber tree genotypes |
spellingShingle |
Divergence and genetic variability among superior rubber tree genotypes Gouvêa, Lígia Regina Lima Hevea brasiliensis; crossbreeding; multivariate analysis; selection Hevea brasiliensis; cruzamentos; análise multivariada; seleção |
title_short |
Divergence and genetic variability among superior rubber tree genotypes |
title_full |
Divergence and genetic variability among superior rubber tree genotypes |
title_fullStr |
Divergence and genetic variability among superior rubber tree genotypes |
title_full_unstemmed |
Divergence and genetic variability among superior rubber tree genotypes |
title_sort |
Divergence and genetic variability among superior rubber tree genotypes |
author |
Gouvêa, Lígia Regina Lima |
author_facet |
Gouvêa, Lígia Regina Lima Chiorato, Alisson Fernando Gonçalves, Paulo de Souza |
author_role |
author |
author2 |
Chiorato, Alisson Fernando Gonçalves, Paulo de Souza |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Fapesp, CNPq |
dc.contributor.author.fl_str_mv |
Gouvêa, Lígia Regina Lima Chiorato, Alisson Fernando Gonçalves, Paulo de Souza |
dc.subject.por.fl_str_mv |
Hevea brasiliensis; crossbreeding; multivariate analysis; selection Hevea brasiliensis; cruzamentos; análise multivariada; seleção |
topic |
Hevea brasiliensis; crossbreeding; multivariate analysis; selection Hevea brasiliensis; cruzamentos; análise multivariada; seleção |
description |
The objective of this work was to estimate the genetic variability and divergence among 22 superior rubber tree (Hevea sp.) genotypes of the IAC 400 series. Univariate and multivariate analyses were performed using eight quantitative traits (descriptors), including yield. In the univariate analyses, the estimated parameters were: genetic and environmental variances; genetic and environmental coefficients of variation; and the variation index. The Mahalanobis generalized distance, the Tocher agglomerative method and canonical variables were used for the multivariate analyses. In the univariate analyses, variability was verified among the genotypes for all the variables evaluated. The Tocher method grouped the genotypes into 11 clusters of dissimilarity. The first four canonical variables explained 87.93% of the cumulative variation. The highest genetic variability was found in rubber yield-related traits, which contributed the most to the genetic divergence. The most divergent pairs of genotypes are suggested for crossbreeding. The genotypes evaluated are suitable for breeding and may be used to continue the IAC rubber tree breeding program. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-10 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7390 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/7390 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7390/6001 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3209 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3211 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/7390/3212 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.45, n.2, fev. 2010; 163-170 Pesquisa Agropecuária Brasileira; v.45, n.2, fev. 2010; 163-170 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416705403256832 |