Selection of eucalyptus progenies by Z index through LSM and Blup
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/9620 |
Resumo: | The objective of this work was to evaluate the efficiency of the Z index (sum of standardized variables index), in the selection of full‑sib progenies between Eucalyptus grandis and Eucalyptus urophylla via least square method (LSM) and best linear unbiased prediction (Blup) procedures. The experiments were carried out in two soil types and environments, in a randomized complete block design, with five replicates, eight plants per plot and 3x2 m spacing. Wood average annual increment, basic density, screened pulp yield, and effective alkali were evaluated for three‑year‑old plants. The Z index was obtained for each plant in order to compare the efficiency of selection for the best progenies by LSM and Blup procedures. Subsequently, the predicted averages to Z index were obtained and ranked. For comparison, the classic index was used. The coincidence among the best progenies selected by classical and Z index was good. However, the Z index allows a graphic display that enables to check in which characters the progenie has a disability. There is no difference between the best progenies selected by the Z index via LSM and Blup.Index terms: Eucalyptus, genetic correlation, forest breeding, selection ind |
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Selection of eucalyptus progenies by Z index through LSM and BlupSeleção de progênies de eucalipto pelo índice Z por MQM e BlupEucalyptus; genetic correlation; forest breeding; selection index.Eucalyptus; correlação genética; melhoramento florestal; índices de seleçãoThe objective of this work was to evaluate the efficiency of the Z index (sum of standardized variables index), in the selection of full‑sib progenies between Eucalyptus grandis and Eucalyptus urophylla via least square method (LSM) and best linear unbiased prediction (Blup) procedures. The experiments were carried out in two soil types and environments, in a randomized complete block design, with five replicates, eight plants per plot and 3x2 m spacing. Wood average annual increment, basic density, screened pulp yield, and effective alkali were evaluated for three‑year‑old plants. The Z index was obtained for each plant in order to compare the efficiency of selection for the best progenies by LSM and Blup procedures. Subsequently, the predicted averages to Z index were obtained and ranked. For comparison, the classic index was used. The coincidence among the best progenies selected by classical and Z index was good. However, the Z index allows a graphic display that enables to check in which characters the progenie has a disability. There is no difference between the best progenies selected by the Z index via LSM and Blup.Index terms: Eucalyptus, genetic correlation, forest breeding, selection ind O objetivo deste trabalho foi avaliar a eficiência do índice Z (índice somatório das variáveis padronizadas) na seleção de progênies de irmãos completos entre Eucalyptus grandis e Eucalyptus urophylla via método dos quadrados mínimos (MQM) e da melhor predição linear não viesada (Blup). Os experimentos foram realizados em dois tipos de solo e de ambiente, em blocos ao acaso com cinco repetições, oito plantas por parcela e espaçamento de 3x2 m. Aos três anos de idade, as plantas foram avaliadas quanto ao incremento médio anual de madeira, à densidade básica, ao rendimento de celulose e ao álcali efetivo. Para a comparação da eficiência da seleção das melhores progênies, pelos procedimentos MQM e Blup, foi obtido o índice Z para cada indivíduo. Posteriormente, foram obtidas as médias preditas das progênies para o índice Z, ranqueadas em sentido favorável ao melhoramento. O índice clássico também foi utilizado. A coincidência entre as melhores progênies selecionadas pelos índices clássico e Z foi boa. No entanto, o índice Z permite visualização gráfica, o que possibilita verificar em quais caracteres uma determinada progênie apresenta alguma deficiência. Não há diferença entre as melhores progênies selecionadas pelo índice Z via MQM e Blup.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq, CapesFapemig e Celulose Nipo-BrasileiraReis, Cristiane Aparecida FioravanteGonçalves, Flávia Maria AvelarRamalho, Magno Antonio PattoRosado, Antônio Marcos2011-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/9620Pesquisa Agropecuaria Brasileira; v.46, n.5, maio 2011; 517-523Pesquisa Agropecuária Brasileira; v.46, n.5, maio 2011; 517-5231678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/9620/6350https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9620/4866info:eu-repo/semantics/openAccess2014-05-27T18:13:09Zoai:ojs.seer.sct.embrapa.br:article/9620Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-27T18:13:09Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Selection of eucalyptus progenies by Z index through LSM and Blup Seleção de progênies de eucalipto pelo índice Z por MQM e Blup |
title |
Selection of eucalyptus progenies by Z index through LSM and Blup |
spellingShingle |
Selection of eucalyptus progenies by Z index through LSM and Blup Reis, Cristiane Aparecida Fioravante Eucalyptus; genetic correlation; forest breeding; selection index. Eucalyptus; correlação genética; melhoramento florestal; índices de seleção |
title_short |
Selection of eucalyptus progenies by Z index through LSM and Blup |
title_full |
Selection of eucalyptus progenies by Z index through LSM and Blup |
title_fullStr |
Selection of eucalyptus progenies by Z index through LSM and Blup |
title_full_unstemmed |
Selection of eucalyptus progenies by Z index through LSM and Blup |
title_sort |
Selection of eucalyptus progenies by Z index through LSM and Blup |
author |
Reis, Cristiane Aparecida Fioravante |
author_facet |
Reis, Cristiane Aparecida Fioravante Gonçalves, Flávia Maria Avelar Ramalho, Magno Antonio Patto Rosado, Antônio Marcos |
author_role |
author |
author2 |
Gonçalves, Flávia Maria Avelar Ramalho, Magno Antonio Patto Rosado, Antônio Marcos |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
CNPq, Capes Fapemig e Celulose Nipo-Brasileira |
dc.contributor.author.fl_str_mv |
Reis, Cristiane Aparecida Fioravante Gonçalves, Flávia Maria Avelar Ramalho, Magno Antonio Patto Rosado, Antônio Marcos |
dc.subject.por.fl_str_mv |
Eucalyptus; genetic correlation; forest breeding; selection index. Eucalyptus; correlação genética; melhoramento florestal; índices de seleção |
topic |
Eucalyptus; genetic correlation; forest breeding; selection index. Eucalyptus; correlação genética; melhoramento florestal; índices de seleção |
description |
The objective of this work was to evaluate the efficiency of the Z index (sum of standardized variables index), in the selection of full‑sib progenies between Eucalyptus grandis and Eucalyptus urophylla via least square method (LSM) and best linear unbiased prediction (Blup) procedures. The experiments were carried out in two soil types and environments, in a randomized complete block design, with five replicates, eight plants per plot and 3x2 m spacing. Wood average annual increment, basic density, screened pulp yield, and effective alkali were evaluated for three‑year‑old plants. The Z index was obtained for each plant in order to compare the efficiency of selection for the best progenies by LSM and Blup procedures. Subsequently, the predicted averages to Z index were obtained and ranked. For comparison, the classic index was used. The coincidence among the best progenies selected by classical and Z index was good. However, the Z index allows a graphic display that enables to check in which characters the progenie has a disability. There is no difference between the best progenies selected by the Z index via LSM and Blup.Index terms: Eucalyptus, genetic correlation, forest breeding, selection ind |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-07-26 |
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/9620 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/9620 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/9620/6350 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9620/4866 |
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.46, n.5, maio 2011; 517-523 Pesquisa Agropecuária Brasileira; v.46, n.5, maio 2011; 517-523 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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1793416698708099072 |