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: | 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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Crop Breeding and Applied Biotechnology |
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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 |
_version_ |
1754209187626221568 |