Procedures for identification of superior progenies in successive generations of evaluation in common bean

Detalhes bibliográficos
Autor(a) principal: Lemos, Roxane do Carmo
Data de Publicação: 2020
Outros Autores: Abreu, Ângela de Fátima Barbosa, Ramalho, Magno Antonio Patto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/160721
Resumo: When breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP’s and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.
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spelling Procedures for identification of superior progenies in successive generations of evaluation in common beanPhaseolus vulgarisrecurrent selectionselection indexmixed model approachWhen breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP’s and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2020-02-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/16072110.1590/1678-992x-2018-0105Scientia Agricola; v. 77 n. 1 (2020); e20180105Scientia Agricola; Vol. 77 Núm. 1 (2020); e20180105Scientia Agricola; Vol. 77 No. 1 (2020); e201801051678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/160721/154969Copyright (c) 2020 Scientia Agricolainfo:eu-repo/semantics/openAccessLemos, Roxane do CarmoAbreu, Ângela de Fátima BarbosaRamalho, Magno Antonio Patto2019-08-05T18:27:37Zoai:revistas.usp.br:article/160721Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2019-08-05T18:27:37Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Procedures for identification of superior progenies in successive generations of evaluation in common bean
title Procedures for identification of superior progenies in successive generations of evaluation in common bean
spellingShingle Procedures for identification of superior progenies in successive generations of evaluation in common bean
Lemos, Roxane do Carmo
Phaseolus vulgaris
recurrent selection
selection index
mixed model approach
title_short Procedures for identification of superior progenies in successive generations of evaluation in common bean
title_full Procedures for identification of superior progenies in successive generations of evaluation in common bean
title_fullStr Procedures for identification of superior progenies in successive generations of evaluation in common bean
title_full_unstemmed Procedures for identification of superior progenies in successive generations of evaluation in common bean
title_sort Procedures for identification of superior progenies in successive generations of evaluation in common bean
author Lemos, Roxane do Carmo
author_facet Lemos, Roxane do Carmo
Abreu, Ângela de Fátima Barbosa
Ramalho, Magno Antonio Patto
author_role author
author2 Abreu, Ângela de Fátima Barbosa
Ramalho, Magno Antonio Patto
author2_role author
author
dc.contributor.author.fl_str_mv Lemos, Roxane do Carmo
Abreu, Ângela de Fátima Barbosa
Ramalho, Magno Antonio Patto
dc.subject.por.fl_str_mv Phaseolus vulgaris
recurrent selection
selection index
mixed model approach
topic Phaseolus vulgaris
recurrent selection
selection index
mixed model approach
description When breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP’s and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/160721
10.1590/1678-992x-2018-0105
url https://www.revistas.usp.br/sa/article/view/160721
identifier_str_mv 10.1590/1678-992x-2018-0105
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/160721/154969
dc.rights.driver.fl_str_mv Copyright (c) 2020 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 77 n. 1 (2020); e20180105
Scientia Agricola; Vol. 77 Núm. 1 (2020); e20180105
Scientia Agricola; Vol. 77 No. 1 (2020); e20180105
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
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reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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