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 UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/42832 |
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 beanPhaseolus vulgarisRecurrent selectionSelection indexMixed model approachFeijão - Melhoramento genéticoSeleção recorrenteÍndice de seleçãoModelos lineares mistosWhen 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.Escola Superior de Agricultura "Luiz de Queiroz"2020-09-03T17:50:54Z2020-09-03T17:50:54Z2020-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLEMOS, R. do C.; ABREU, A. de F. B.; RAMALHO, M. A. P. Procedures for identification of superior progenies in successive generations of evaluation in common bean. Scientia Agricola, Piracicaba, v. 77, n. 1, e20180105, 2020. DOI: https://doi.org/10.1590/1678-992x-2018-0105.http://repositorio.ufla.br/jspui/handle/1/42832Scientia Agricolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLemos, Roxane do CarmoAbreu, Ângela de Fátima BarbosaRamalho, Magno Antonio Pattoeng2020-09-03T17:51:11Zoai:localhost:1/42832Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-09-03T17:51:11Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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 Feijão - Melhoramento genético Seleção recorrente Índice de seleção Modelos lineares mistos |
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 Feijão - Melhoramento genético Seleção recorrente Índice de seleção Modelos lineares mistos |
topic |
Phaseolus vulgaris Recurrent selection Selection index Mixed model approach Feijão - Melhoramento genético Seleção recorrente Índice de seleção Modelos lineares mistos |
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 |
2020-09-03T17:50:54Z 2020-09-03T17:50:54Z 2020-07 |
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 |
LEMOS, R. do C.; ABREU, A. de F. B.; RAMALHO, M. A. P. Procedures for identification of superior progenies in successive generations of evaluation in common bean. Scientia Agricola, Piracicaba, v. 77, n. 1, e20180105, 2020. DOI: https://doi.org/10.1590/1678-992x-2018-0105. http://repositorio.ufla.br/jspui/handle/1/42832 |
identifier_str_mv |
LEMOS, R. do C.; ABREU, A. de F. B.; RAMALHO, M. A. P. Procedures for identification of superior progenies in successive generations of evaluation in common bean. Scientia Agricola, Piracicaba, v. 77, n. 1, e20180105, 2020. DOI: https://doi.org/10.1590/1678-992x-2018-0105. |
url |
http://repositorio.ufla.br/jspui/handle/1/42832 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
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 |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola 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_ |
1815439271347093504 |