Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests

Detalhes bibliográficos
Autor(a) principal: Martinez, Diego Tyszka
Data de Publicação: 2011
Outros Autores: Resende, Marcos Deon Vilela de, Higa, Antonio Rioyei, Costa, Reginaldo Brito da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249
Resumo: The aim of this study was to compare, through simulation, the BLUP and BLUP-HET procedures for breeding values prediction under heterogeneity of residual variances. Random data were generated with spread sheet, considering a variance of 0,10 and variable residual variance, by number of clones, in order toprovide heterogeneity of variances. Actual and residual breeding values obtained were added to the mean 10, in order to obtain positive phenotypic values. Experimental design was random blocks with 100 genotypes, one plant per plot and 2, 5, 10 and 20 repetitions. Data were evaluated using Selegen software, obtaining estimated breeding values through BLUP and BLUP-HET procedures which were compared to actualbreeding values. In this study, using two and five repetitions showed low accuracy. With heritability close to 10%, it is recommend to use ten or more repetitions in order to ensure greater accuracy in estimates. This represents no restrain in case of variances heterogeneity within genotypes, being both methods suitable. Nevertheless, for most of the cases, BLUP-HET results in accuracies closer to expected values. Furthermore, its estimates for selection gain are closer to real figures.doi: 10.4336/2011.pfb.31.67.193
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spelling Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone testsProcedimentos de predição e efeitos da heterogeneidade de variâncias residuais dentro de tratamentos genéticosMixed linear modelsGenetic parametersSelection gainModelos lineares mistosParâmetros genéticosGanho com seleçãoThe aim of this study was to compare, through simulation, the BLUP and BLUP-HET procedures for breeding values prediction under heterogeneity of residual variances. Random data were generated with spread sheet, considering a variance of 0,10 and variable residual variance, by number of clones, in order toprovide heterogeneity of variances. Actual and residual breeding values obtained were added to the mean 10, in order to obtain positive phenotypic values. Experimental design was random blocks with 100 genotypes, one plant per plot and 2, 5, 10 and 20 repetitions. Data were evaluated using Selegen software, obtaining estimated breeding values through BLUP and BLUP-HET procedures which were compared to actualbreeding values. In this study, using two and five repetitions showed low accuracy. With heritability close to 10%, it is recommend to use ten or more repetitions in order to ensure greater accuracy in estimates. This represents no restrain in case of variances heterogeneity within genotypes, being both methods suitable. Nevertheless, for most of the cases, BLUP-HET results in accuracies closer to expected values. Furthermore, its estimates for selection gain are closer to real figures.doi: 10.4336/2011.pfb.31.67.193O presente estudo objetivou comparar, via simulação, os procedimentos BLUP e BLUP-HET para predição dos valores genéticos sob heterogeneidade de variâncias residuais. Os dados aleatórios foram gerados em planilha eletrônica, considerando uma variância genética de 0,10 e variância residual variável, por número de clones, de forma que tivessem heterogeneidade de variâncias. Os valores genéticos reais e residuais foram somados à média 10, obtendo assim os valores fenotípicos positivos. Utilizou-se o delineamento de blocos ao acaso, com 100 genótipos, uma planta por parcela, com 2, 5, 10 e 20 repetições. Os dados foram avaliados no software Selegen, obtendo os valores genéticos estimados pelos procedimentos BLUP e BLUP-HET e comparados com os valores genéticos reais. Nestas condições, o uso de duas e cinco repetições apresenta baixa precisão. Com herdabilidade próxima de 10%, recomendase o uso de dez ou mais repetições para garantir maior precisão nas estimativas, não representando problema prático em casos de heterogeneidade de variâncias dentro de genótipos, podendo ser utilizado qualquer um dos procedimentos. Apesar disso, o procedimento BLUP-HET resulta em acurácias mais próximas do valor esperado, para a maioria dos casos avaliados, além de estimar o ganho com seleção mais próximo ao real. doi: 10.4336/2011.pfb.31.67.193Embrapa Florestas2011-06-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249Pesquisa Florestal Brasileira; v. 31 n. 67 (2011): jul./set.; 193Pesquisa Florestal Brasileira; Vol. 31 No. 67 (2011): jul./set.; 1931983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249/219Martinez, Diego TyszkaResende, Marcos Deon Vilela deHiga, Antonio RioyeiCosta, Reginaldo Brito dainfo:eu-repo/semantics/openAccess2018-03-20T18:55:37Zoai:pfb.cnpf.embrapa.br/pfb:article/249Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2018-03-20T18:55:37Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
Procedimentos de predição e efeitos da heterogeneidade de variâncias residuais dentro de tratamentos genéticos
title Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
spellingShingle Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
Martinez, Diego Tyszka
Mixed linear models
Genetic parameters
Selection gain
Modelos lineares mistos
Parâmetros genéticos
Ganho com seleção
title_short Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
title_full Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
title_fullStr Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
title_full_unstemmed Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
title_sort Prediction methods and heterogeneity effects of residual variances within genetic treatments in clone tests
author Martinez, Diego Tyszka
author_facet Martinez, Diego Tyszka
Resende, Marcos Deon Vilela de
Higa, Antonio Rioyei
Costa, Reginaldo Brito da
author_role author
author2 Resende, Marcos Deon Vilela de
Higa, Antonio Rioyei
Costa, Reginaldo Brito da
author2_role author
author
author
dc.contributor.author.fl_str_mv Martinez, Diego Tyszka
Resende, Marcos Deon Vilela de
Higa, Antonio Rioyei
Costa, Reginaldo Brito da
dc.subject.por.fl_str_mv Mixed linear models
Genetic parameters
Selection gain
Modelos lineares mistos
Parâmetros genéticos
Ganho com seleção
topic Mixed linear models
Genetic parameters
Selection gain
Modelos lineares mistos
Parâmetros genéticos
Ganho com seleção
description The aim of this study was to compare, through simulation, the BLUP and BLUP-HET procedures for breeding values prediction under heterogeneity of residual variances. Random data were generated with spread sheet, considering a variance of 0,10 and variable residual variance, by number of clones, in order toprovide heterogeneity of variances. Actual and residual breeding values obtained were added to the mean 10, in order to obtain positive phenotypic values. Experimental design was random blocks with 100 genotypes, one plant per plot and 2, 5, 10 and 20 repetitions. Data were evaluated using Selegen software, obtaining estimated breeding values through BLUP and BLUP-HET procedures which were compared to actualbreeding values. In this study, using two and five repetitions showed low accuracy. With heritability close to 10%, it is recommend to use ten or more repetitions in order to ensure greater accuracy in estimates. This represents no restrain in case of variances heterogeneity within genotypes, being both methods suitable. Nevertheless, for most of the cases, BLUP-HET results in accuracies closer to expected values. Furthermore, its estimates for selection gain are closer to real figures.doi: 10.4336/2011.pfb.31.67.193
publishDate 2011
dc.date.none.fl_str_mv 2011-06-17
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/249/219
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 Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 31 n. 67 (2011): jul./set.; 193
Pesquisa Florestal Brasileira; Vol. 31 No. 67 (2011): jul./set.; 193
1983-2605
1809-3647
reponame:Pesquisa Florestal 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 Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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