Selection and heritability in the prediction of genetic gain in yellow passion fruit
Autor(a) principal: | |
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Data de Publicação: | 2007 |
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/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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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 |
_version_ |
1793416650785030144 |