Genetic progress in popcorn recurrent selection by a multivariate mixed-model approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
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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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 |
_version_ |
1815439046662422528 |