Selection and heritability in the prediction of genetic gain in yellow passion fruit

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Gustavo Menezes
Data de Publicação: 2007
Outros Autores: Viana, Alexandre Pio, Neto, Francisco Valdevino Bezerra, Pereira, Messias Gonzaga, Pereira, Telma Nair Santana
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/7555
Resumo: The objective of this research was to evaluate the alternatives of selection for a population of yellow passion fruit, structured in Design I, for obtaining the best genotypic gain prediction. Six traits were evaluated in 113 progenies at two environments: Viçosa, MG, and Miracema, RJ, in Brazil, grouped in three sets in the randomized blocks design, with three replications and three plants per plot. For gain prediction calculation, the indexes of Mulamba & Mock, Pesek & Baker, Smith and Hazel, and the selection based on number of fruits per plants, were used. The absence of interaction genotype versus environment was observed. The alternatives that presented the best genetic gain prediction were the combined selection and selection among male families. Genetic gain prediction, based on combined selection, was 18.55% for direct selection of fruit number per plant. The indexes of Smith and Hazel presented the lowest genetic gain prediction. The indexes of Mulamba & Mock and Pesek & Baker had the highest predicted genetic gain. The indexes allied with alternatives studied have high potential in the selection of the progenies.
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spelling Selection and heritability in the prediction of genetic gain in yellow passion fruitSeleção e herdabilidade na predição de ganhos genéticos em maracujá-amareloPassiflora; breeding; genotypic selection; selection indexesPassiflora; melhoramento; seleção genotípica; índices de seleçãoThe objective of this research was to evaluate the alternatives of selection for a population of yellow passion fruit, structured in Design I, for obtaining the best genotypic gain prediction. Six traits were evaluated in 113 progenies at two environments: Viçosa, MG, and Miracema, RJ, in Brazil, grouped in three sets in the randomized blocks design, with three replications and three plants per plot. For gain prediction calculation, the indexes of Mulamba & Mock, Pesek & Baker, Smith and Hazel, and the selection based on number of fruits per plants, were used. The absence of interaction genotype versus environment was observed. The alternatives that presented the best genetic gain prediction were the combined selection and selection among male families. Genetic gain prediction, based on combined selection, was 18.55% for direct selection of fruit number per plant. The indexes of Smith and Hazel presented the lowest genetic gain prediction. The indexes of Mulamba & Mock and Pesek & Baker had the highest predicted genetic gain. The indexes allied with alternatives studied have high potential in the selection of the progenies.O objetivo deste trabalho foi avaliar a alternativa de seleção para a população de maracujá-amarelo, estruturada no Delineamento I, para obtenção do melhor ganho genotípico predito. Avaliaram-se seis características produtivas em 113 progênies, nas localidades de Viçosa, MG, e Miracema, RJ, em arranjos de três agrupamentos, com delineamento em blocos ao acaso, com três repetições e três plantas por parcela. Foram empregados, para o cálculo dos ganhos preditos, os índices de seleção de Mulamba & Mock, Pesek & Baker, Smith e Hazel e a seleção direta em número de frutos por planta. Foi observada falta de interação entre genótipos e ambiente. As alternativas que demonstraram os maiores ganhos preditos foram a seleção combinada e a seleção entre famílias de machos, com 18,55% para seleção direta em número de frutos por planta pela seleção combinada. O índice de Smith e Hazel apresentou os menores ganhos preditos. Os índices de Mulamba & Mock e Pesek & Baker os maiores ganhos preditos. Os índices aliados às alternativas estudadas têm potencial para a seleção das progênies.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraGonçalves, Gustavo MenezesViana, Alexandre PioNeto, Francisco Valdevino BezerraPereira, Messias GonzagaPereira, Telma Nair Santana2007-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7555Pesquisa Agropecuaria Brasileira; v.42, n.2, fev. 2007; 193-198Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 193-1981678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7555/4474info:eu-repo/semantics/openAccess2014-05-28T17:28:01Zoai:ojs.seer.sct.embrapa.br:article/7555Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-28T17:28:01Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Selection and heritability in the prediction of genetic gain in yellow passion fruit
Seleção e herdabilidade na predição de ganhos genéticos em maracujá-amarelo
title Selection and heritability in the prediction of genetic gain in yellow passion fruit
spellingShingle Selection and heritability in the prediction of genetic gain in yellow passion fruit
Gonçalves, Gustavo Menezes
Passiflora; breeding; genotypic selection; selection indexes
Passiflora; melhoramento; seleção genotípica; índices de seleção
title_short Selection and heritability in the prediction of genetic gain in yellow passion fruit
title_full Selection and heritability in the prediction of genetic gain in yellow passion fruit
title_fullStr Selection and heritability in the prediction of genetic gain in yellow passion fruit
title_full_unstemmed Selection and heritability in the prediction of genetic gain in yellow passion fruit
title_sort Selection and heritability in the prediction of genetic gain in yellow passion fruit
author Gonçalves, Gustavo Menezes
author_facet Gonçalves, Gustavo Menezes
Viana, Alexandre Pio
Neto, Francisco Valdevino Bezerra
Pereira, Messias Gonzaga
Pereira, Telma Nair Santana
author_role author
author2 Viana, Alexandre Pio
Neto, Francisco Valdevino Bezerra
Pereira, Messias Gonzaga
Pereira, Telma Nair Santana
author2_role author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Gonçalves, Gustavo Menezes
Viana, Alexandre Pio
Neto, Francisco Valdevino Bezerra
Pereira, Messias Gonzaga
Pereira, Telma Nair Santana
dc.subject.por.fl_str_mv Passiflora; breeding; genotypic selection; selection indexes
Passiflora; melhoramento; seleção genotípica; índices de seleção
topic Passiflora; breeding; genotypic selection; selection indexes
Passiflora; melhoramento; seleção genotípica; índices de seleção
description The objective of this research was to evaluate the alternatives of selection for a population of yellow passion fruit, structured in Design I, for obtaining the best genotypic gain prediction. Six traits were evaluated in 113 progenies at two environments: Viçosa, MG, and Miracema, RJ, in Brazil, grouped in three sets in the randomized blocks design, with three replications and three plants per plot. For gain prediction calculation, the indexes of Mulamba & Mock, Pesek & Baker, Smith and Hazel, and the selection based on number of fruits per plants, were used. The absence of interaction genotype versus environment was observed. The alternatives that presented the best genetic gain prediction were the combined selection and selection among male families. Genetic gain prediction, based on combined selection, was 18.55% for direct selection of fruit number per plant. The indexes of Smith and Hazel presented the lowest genetic gain prediction. The indexes of Mulamba & Mock and Pesek & Baker had the highest predicted genetic gain. The indexes allied with alternatives studied have high potential in the selection of the progenies.
publishDate 2007
dc.date.none.fl_str_mv 2007-02-01
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/7555
url https://seer.sct.embrapa.br/index.php/pab/article/view/7555
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/7555/4474
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.42, n.2, fev. 2007; 193-198
Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 193-198
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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