Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach

Detalhes bibliográficos
Autor(a) principal: Ematné, Hugo Junqueira
Data de Publicação: 2018
Outros Autores: Nunes, José Airton Rodrigues, Souza, João Cândido de, Muñoz, Patrício Ricardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/33240
Resumo: Recurrent selection is a viable alternative for popcorn breeding. However, frequent verification of progress attained is required. The aim of this study was to estimate the genetic progress attained for popping expansion (PE) and grain yield (GY) after four cycles of recurrent selection and to compare this progress with the expected progress estimated at the end of each cycle while considering the genetic relationships between the progenies via univariate and multivariate mixed-model approaches. To estimate the genetic parameters and gains from indirect selection, cycles 1, 2, 3, and 4 of a UFLA population were used. To estimate the genetic gains achieved, the following cycles were used: UFLA (original) and cycles 0, 1, 2, 3, and 4, evaluated in three environments. The multivariate approach provided more accurate estimates than did the univariate approach. There was genetic gain for PE in the recurrent selection program. In contrast, gain was not observed for GY using the different estimation strategies.
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spelling Genetic progress in popcorn recurrent selection by a multivariate mixed-model approachProgresso genético na seleção recorrente em milho pipoca via abordagem de modelos mistos multivariadoPlant breedingGrain yieldPopping expansionMelhoramento de plantasRendimento de grãoCapacidade de expansãoRecurrent selection is a viable alternative for popcorn breeding. However, frequent verification of progress attained is required. The aim of this study was to estimate the genetic progress attained for popping expansion (PE) and grain yield (GY) after four cycles of recurrent selection and to compare this progress with the expected progress estimated at the end of each cycle while considering the genetic relationships between the progenies via univariate and multivariate mixed-model approaches. To estimate the genetic parameters and gains from indirect selection, cycles 1, 2, 3, and 4 of a UFLA population were used. To estimate the genetic gains achieved, the following cycles were used: UFLA (original) and cycles 0, 1, 2, 3, and 4, evaluated in three environments. The multivariate approach provided more accurate estimates than did the univariate approach. There was genetic gain for PE in the recurrent selection program. In contrast, gain was not observed for GY using the different estimation strategies.A seleção recorrente é uma alternativa viável para o melhoramento da cultura do milho pipoca, todavia faz-se necessário verificar frequentemente o progresso obtido. O objetivo do presente trabalho foi estimar o progresso genético realizado para capacidade de expansão (PE) e rendimento de grãos (GY) após quatro ciclos de seleção recorrente e comparar com o progresso esperado, estimado ao final de cada ciclo, levando em consideração o relacionamento genético entre as progênies, via abordagem de modelos mistos univariada e multivariada. Na estimação dos parâmetros genéticos e ganhos com a seleção por via indireta, utilizou-se os ciclos 1, 2, 3 e 4 da população UFLA. Na estimação dos ganhos realizados, foram usados os seguintes ciclos: UFLA (original), e os ciclos 0, 1, 2, 3 e 4, avaliados em três ambientes. A abordagem multivariada proporcionou estimativas mais acuradas em relação à univariada. Houve ganho genético para PE no programa de seleção recorrente. Contrariamente, não foi observado ganho para GY usando as diferentes estratégias de estimação.Editora UFLA2019-03-22T13:23:01Z2019-03-22T13:23:01Z2018-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfEMATNÉ, H. J. et al. Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach. Ciência e Agrotecnologia, Lavras, v. 42, n. 2, p. 159-167, Mar./Apr. 2018. DOI: 10.1590/1413-70542018422016817.http://repositorio.ufla.br/jspui/handle/1/33240Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessEmatné, Hugo JunqueiraNunes, José Airton RodriguesSouza, João Cândido deMuñoz, Patrício Ricardoeng2019-03-22T13:23:01Zoai:localhost:1/33240Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-03-22T13:23:01Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
Progresso genético na seleção recorrente em milho pipoca via abordagem de modelos mistos multivariado
title Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
spellingShingle Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
Ematné, Hugo Junqueira
Plant breeding
Grain yield
Popping expansion
Melhoramento de plantas
Rendimento de grão
Capacidade de expansão
title_short Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
title_full Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
title_fullStr Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
title_full_unstemmed Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
title_sort Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
author Ematné, Hugo Junqueira
author_facet Ematné, Hugo Junqueira
Nunes, José Airton Rodrigues
Souza, João Cândido de
Muñoz, Patrício Ricardo
author_role author
author2 Nunes, José Airton Rodrigues
Souza, João Cândido de
Muñoz, Patrício Ricardo
author2_role author
author
author
dc.contributor.author.fl_str_mv Ematné, Hugo Junqueira
Nunes, José Airton Rodrigues
Souza, João Cândido de
Muñoz, Patrício Ricardo
dc.subject.por.fl_str_mv Plant breeding
Grain yield
Popping expansion
Melhoramento de plantas
Rendimento de grão
Capacidade de expansão
topic Plant breeding
Grain yield
Popping expansion
Melhoramento de plantas
Rendimento de grão
Capacidade de expansão
description Recurrent selection is a viable alternative for popcorn breeding. However, frequent verification of progress attained is required. The aim of this study was to estimate the genetic progress attained for popping expansion (PE) and grain yield (GY) after four cycles of recurrent selection and to compare this progress with the expected progress estimated at the end of each cycle while considering the genetic relationships between the progenies via univariate and multivariate mixed-model approaches. To estimate the genetic parameters and gains from indirect selection, cycles 1, 2, 3, and 4 of a UFLA population were used. To estimate the genetic gains achieved, the following cycles were used: UFLA (original) and cycles 0, 1, 2, 3, and 4, evaluated in three environments. The multivariate approach provided more accurate estimates than did the univariate approach. There was genetic gain for PE in the recurrent selection program. In contrast, gain was not observed for GY using the different estimation strategies.
publishDate 2018
dc.date.none.fl_str_mv 2018-04
2019-03-22T13:23:01Z
2019-03-22T13:23:01Z
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 EMATNÉ, H. J. et al. Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach. Ciência e Agrotecnologia, Lavras, v. 42, n. 2, p. 159-167, Mar./Apr. 2018. DOI: 10.1590/1413-70542018422016817.
http://repositorio.ufla.br/jspui/handle/1/33240
identifier_str_mv EMATNÉ, H. J. et al. Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach. Ciência e Agrotecnologia, Lavras, v. 42, n. 2, p. 159-167, Mar./Apr. 2018. DOI: 10.1590/1413-70542018422016817.
url http://repositorio.ufla.br/jspui/handle/1/33240
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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