Procedures for identification of superior progenies in successive generations of evaluation in common bean.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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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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1794503492130308096 |