Effective population size and genetic gain expected in a population of Coffea canephora

Detalhes bibliográficos
Autor(a) principal: Mistro,Júlio César
Data de Publicação: 2019
Outros Autores: Resende,Marcos Deon Vilela de, Fazuoli,Luiz Carlos, Vencovsky,Roland
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000100001
Resumo: Abstract 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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spelling Effective population size and genetic gain expected in a population of Coffea canephoraRobusta coffeequantitative geneticsinbreedingadditive componentsAbstract 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.Crop Breeding and Applied Biotechnology2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000100001Crop Breeding and Applied Biotechnology v.19 n.1 2019reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332019v19n1a01info:eu-repo/semantics/openAccessMistro,Júlio CésarResende,Marcos Deon Vilela deFazuoli,Luiz CarlosVencovsky,Rolandeng2019-04-08T00:00:00Zoai:scielo:S1984-70332019000100001Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2019-04-08T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
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
Mistro,Júlio César
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 Mistro,Júlio César
author_facet Mistro,Júlio César
Resende,Marcos Deon Vilela de
Fazuoli,Luiz Carlos
Vencovsky,Roland
author_role author
author2 Resende,Marcos Deon Vilela de
Fazuoli,Luiz Carlos
Vencovsky,Roland
author2_role author
author
author
dc.contributor.author.fl_str_mv Mistro,Júlio César
Resende,Marcos Deon Vilela de
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 Abstract 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 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332019v19n1a01
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
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 Crop Breeding and Applied Biotechnology v.19 n.1 2019
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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