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

Detalhes bibliográficos
Autor(a) principal: LEMOS, R. do C.
Data de Publicação: 2020
Outros Autores: ABREU, A. de F. B., RAMALHO, M. A. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121767
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 bean.Mixed model approachFeijãoPhaseolus VulgarisSeleção RecorrenteÍndice de SeleçãoMelhoramento Genético VegetalBeansRecurrent selectionSelection indexPlant breedingWhen 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.ROXANE DO CARMO LEMOS, UFLA; ANGELA DE FATIMA BARBOSA ABREU, CNPAF; MAGNO ANTONIO PATTO RAMALHO, UFLA.LEMOS, R. do C.ABREU, A. de F. B.RAMALHO, M. A. P.2020-04-23T00:53:04Z2020-04-23T00:53:04Z2020-04-2220202020-04-23T00:53:04Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, v. 77, n. 1, e20180105, 2020.1678-992Xhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/112176710.1590/1678-992X-2018-0105enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-04-23T00:53:11Zoai:www.alice.cnptia.embrapa.br:doc/1121767Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-04-23T00:53:11falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-04-23T00:53:11Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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, R. do C.
Mixed model approach
Feijão
Phaseolus Vulgaris
Seleção Recorrente
Índice de Seleção
Melhoramento Genético Vegetal
Beans
Recurrent selection
Selection index
Plant breeding
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, R. do C.
author_facet LEMOS, R. do C.
ABREU, A. de F. B.
RAMALHO, M. A. P.
author_role author
author2 ABREU, A. de F. B.
RAMALHO, M. A. P.
author2_role author
author
dc.contributor.none.fl_str_mv ROXANE DO CARMO LEMOS, UFLA; ANGELA DE FATIMA BARBOSA ABREU, CNPAF; MAGNO ANTONIO PATTO RAMALHO, UFLA.
dc.contributor.author.fl_str_mv LEMOS, R. do C.
ABREU, A. de F. B.
RAMALHO, M. A. P.
dc.subject.por.fl_str_mv Mixed model approach
Feijão
Phaseolus Vulgaris
Seleção Recorrente
Índice de Seleção
Melhoramento Genético Vegetal
Beans
Recurrent selection
Selection index
Plant breeding
topic Mixed model approach
Feijão
Phaseolus Vulgaris
Seleção Recorrente
Índice de Seleção
Melhoramento Genético Vegetal
Beans
Recurrent selection
Selection index
Plant breeding
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 2020-04-23T00:53:04Z
2020-04-23T00:53:04Z
2020-04-22
2020
2020-04-23T00:53:04Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Scientia Agricola, v. 77, n. 1, e20180105, 2020.
1678-992X
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121767
10.1590/1678-992X-2018-0105
identifier_str_mv Scientia Agricola, v. 77, n. 1, e20180105, 2020.
1678-992X
10.1590/1678-992X-2018-0105
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121767
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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