Divergence and genetic variability among superior rubber tree genotypes
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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Embrapa Secretaria de Pesquisa e Desenvolvimento
2010
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oai:scielo:S0100-204X20100002000072010-09-22Divergence and genetic variability among superior rubber tree genotypesGouvêa,Lígia Regina LimaChiorato,Alisson FernandoGonçalves,Paulo de Souza Hevea brasiliensis crossbreeding multivariate analysis selection 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.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.45 n.2 20102010-02-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2010000200007en10.1590/S0100-204X2010000200007 |
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Gouvêa,Lígia Regina Lima Chiorato,Alisson Fernando Gonçalves,Paulo de Souza |
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Gouvêa,Lígia Regina Lima Chiorato,Alisson Fernando Gonçalves,Paulo de Souza Divergence and genetic variability among superior rubber tree genotypes |
author_facet |
Gouvêa,Lígia Regina Lima Chiorato,Alisson Fernando Gonçalves,Paulo de Souza |
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Gouvêa,Lígia Regina Lima |
title |
Divergence and genetic variability among superior rubber tree genotypes |
title_short |
Divergence and genetic variability among superior rubber tree genotypes |
title_full |
Divergence and genetic variability among superior rubber tree genotypes |
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Divergence and genetic variability among superior rubber tree genotypes |
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Divergence and genetic variability among superior rubber tree genotypes |
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divergence and genetic variability among superior rubber tree genotypes |
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. |
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Embrapa Secretaria de Pesquisa e Desenvolvimento |
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2010 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2010000200007 |
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AT gouvealigiareginalima divergenceandgeneticvariabilityamongsuperiorrubbertreegenotypes AT chioratoalissonfernando divergenceandgeneticvariabilityamongsuperiorrubbertreegenotypes AT goncalvespaulodesouza divergenceandgeneticvariabilityamongsuperiorrubbertreegenotypes |
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1756385836600918016 |