Effective population size and genetic gain expected in a population of Coffea canephora
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://dx.doi.org/10.1590/1984-70332019v19n1a01 http://www.locus.ufv.br/handle/123456789/25610 |
Resumo: | This work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting of 21 C. canephora progenies and four C. arabica (cultivars) grown in Brazil. The experimental design was a 5x5 quadruple balanced lattice, with 24 replications, with one plant per plot. Six harvests were performed in each plant. Statistical analysis was carried out using the mixed model methodology. The analysis showed high additive genetic variability, and the magnitude of the additive components prevailed over that of the dominance components. These facts revealed the plant population liability to undergo recurrent selection, whose expected genetic gains were high. Results suggest that the effective population size and inbreeding degree throughout recurrent selection cycles be monitored. During selective cycles, cloning with weak selection is required due to few progenies. |
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LOCUS Repositório Institucional da UFV |
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2145 |
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Effective population size and genetic gain expected in a population of Coffea canephoraRobusta coffeeQuantitative geneticsInbreedingAdditive componentsThis work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting of 21 C. canephora progenies and four C. arabica (cultivars) grown in Brazil. The experimental design was a 5x5 quadruple balanced lattice, with 24 replications, with one plant per plot. Six harvests were performed in each plant. Statistical analysis was carried out using the mixed model methodology. The analysis showed high additive genetic variability, and the magnitude of the additive components prevailed over that of the dominance components. These facts revealed the plant population liability to undergo recurrent selection, whose expected genetic gains were high. Results suggest that the effective population size and inbreeding degree throughout recurrent selection cycles be monitored. During selective cycles, cloning with weak selection is required due to few progenies.Crop Breeding and Applied Biotechnology2019-05-29T14:08:09Z2019-05-29T14:08:09Z2019-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf1984-7033http://dx.doi.org/10.1590/1984-70332019v19n1a01http://www.locus.ufv.br/handle/123456789/25610engv. 19, p. 1-7, jan./ mar. 2019Resende, Marcos Deon Vilela deMistro, Júlio CésarFazuoli, Luiz CarlosVencovsky, Rolandinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T06:22:21Zoai:locus.ufv.br:123456789/25610Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T06:22:21LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Effective population size and genetic gain expected in a population of Coffea canephora |
title |
Effective population size and genetic gain expected in a population of Coffea canephora |
spellingShingle |
Effective population size and genetic gain expected in a population of Coffea canephora Resende, Marcos Deon Vilela de Robusta coffee Quantitative genetics Inbreeding Additive components |
title_short |
Effective population size and genetic gain expected in a population of Coffea canephora |
title_full |
Effective population size and genetic gain expected in a population of Coffea canephora |
title_fullStr |
Effective population size and genetic gain expected in a population of Coffea canephora |
title_full_unstemmed |
Effective population size and genetic gain expected in a population of Coffea canephora |
title_sort |
Effective population size and genetic gain expected in a population of Coffea canephora |
author |
Resende, Marcos Deon Vilela de |
author_facet |
Resende, Marcos Deon Vilela de Mistro, Júlio César Fazuoli, Luiz Carlos Vencovsky, Roland |
author_role |
author |
author2 |
Mistro, Júlio César Fazuoli, Luiz Carlos Vencovsky, Roland |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Resende, Marcos Deon Vilela de Mistro, Júlio César Fazuoli, Luiz Carlos Vencovsky, Roland |
dc.subject.por.fl_str_mv |
Robusta coffee Quantitative genetics Inbreeding Additive components |
topic |
Robusta coffee Quantitative genetics Inbreeding Additive components |
description |
This work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting of 21 C. canephora progenies and four C. arabica (cultivars) grown in Brazil. The experimental design was a 5x5 quadruple balanced lattice, with 24 replications, with one plant per plot. Six harvests were performed in each plant. Statistical analysis was carried out using the mixed model methodology. The analysis showed high additive genetic variability, and the magnitude of the additive components prevailed over that of the dominance components. These facts revealed the plant population liability to undergo recurrent selection, whose expected genetic gains were high. Results suggest that the effective population size and inbreeding degree throughout recurrent selection cycles be monitored. During selective cycles, cloning with weak selection is required due to few progenies. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-29T14:08:09Z 2019-05-29T14:08:09Z 2019-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
1984-7033 http://dx.doi.org/10.1590/1984-70332019v19n1a01 http://www.locus.ufv.br/handle/123456789/25610 |
identifier_str_mv |
1984-7033 |
url |
http://dx.doi.org/10.1590/1984-70332019v19n1a01 http://www.locus.ufv.br/handle/123456789/25610 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
v. 19, p. 1-7, jan./ mar. 2019 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1822610548667187200 |