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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
22/04/2020 |
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Data da última atualização: |
22/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LEMOS, R. do C.; ABREU, A. de F. B.; RAMALHO, M. A. P. |
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Afiliação: |
ROXANE DO CARMO LEMOS, UFLA; ANGELA DE FATIMA BARBOSA ABREU, CNPAF; MAGNO ANTONIO PATTO RAMALHO, UFLA. |
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Título: |
Procedures for identification of superior progenies in successive generations of evaluation in common bean. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Scientia Agricola, v. 77, n. 1, e20180105, 2020. |
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ISSN: |
1678-992X |
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DOI: |
10.1590/1678-992X-2018-0105 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosWhen 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 ... Mostrar Tudo |
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Palavras-Chave: |
Mixed model approach. |
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Thesagro: |
Feijão; Índice de Seleção; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Seleção Recorrente. |
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Thesaurus Nal: |
Beans; Plant breeding; Recurrent selection; Selection index. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/212431/1/CNPAF-2020-sa.pdf
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Marc: |
LEADER 02518naa a2200289 a 4500
001 2121767
005 2020-04-22
008 2020 bl uuuu u00u1 u #d
022 $a1678-992X
024 7 $a10.1590/1678-992X-2018-0105$2DOI
100 1 $aLEMOS, R. do C.
245 $aProcedures for identification of superior progenies in successive generations of evaluation in common bean.$h[electronic resource]
260 $c2020
520 $aWhen 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.
650 $aBeans
650 $aPlant breeding
650 $aRecurrent selection
650 $aSelection index
650 $aFeijão
650 $aÍndice de Seleção
650 $aMelhoramento Genético Vegetal
650 $aPhaseolus Vulgaris
650 $aSeleção Recorrente
653 $aMixed model approach
700 1 $aABREU, A. de F. B.
700 1 $aRAMALHO, M. A. P.
773 $tScientia Agricola$gv. 77, n. 1, e20180105, 2020.
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Embrapa Arroz e Feijão (CNPAF) |
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