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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
26/09/2017 |
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Data da última atualização: |
04/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FARIA, L. C. de; MELO, P. G. S.; PEREIRA, H. S.; MELO, L. C. |
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Afiliação: |
LUIS CLAUDIO DE FARIA, CNPAF; PATRICIA GUIMARAES SANTOS MELO, UFG; HELTON SANTOS PEREIRA, CNPAF; LEONARDO CUNHA MELO, CNPAF. |
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Título: |
Genetic gain in common bean with black grain by indirect estimation methods. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Crop Science, Madison, v. 57, n. 3, p. 1308-1314, Maio/June 2017. |
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DOI: |
10.2135/cropsci2016.05.0395 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to estimate the genetic gain for yield of black-grained common bean (Phaseolus vulgaris L.) developed by the Embrapa breeding program of Brazil. Genetic gain estimates were generated from 403 field tests conducted in all regions of Brazil in three growing seasons over 16 yr, from 1993 to 2008. Genetic gains were estimated by two indirect methods and were compared with those found through a direct estimation method. The first methodology used the mixed model approach to calculate the best unbiased linear estimate of cycle means, as fixed effects, and the best unbiased predictor of the genotype effect within cycles, as random effects. The second methodology of generalized least squares considered a model of fixed effects, except for the error. For the direct method, 24 lines consisting of the three highest yielding of each of the eight breeding cycles were evaluated in 21 environments. The estimated percentage of annual genetic gain in grain yield by the direct method over the 16-yr period (1.23%, P < 0.01) was significant and close to the result of the fixed model analysis (1.20%, P < 0.05) and by the mixed model (1.02%, P = 0.068). These results show that the indirect methods using a fixed model and the mixed model were consistent in determining genetic gain and can be used as an alternative to the direct method. |
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Palavras-Chave: |
Ganho genético. |
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Thesagro: |
Feijão preto; Genética; Melhoramento genético vegetal; Phaseolus vulgaris. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02069naa a2200229 a 4500
001 2076327
005 2018-01-04
008 2017 bl uuuu u00u1 u #d
024 7 $a10.2135/cropsci2016.05.0395$2DOI
100 1 $aFARIA, L. C. de
245 $aGenetic gain in common bean with black grain by indirect estimation methods.$h[electronic resource]
260 $c2017
520 $aThe objective of this study was to estimate the genetic gain for yield of black-grained common bean (Phaseolus vulgaris L.) developed by the Embrapa breeding program of Brazil. Genetic gain estimates were generated from 403 field tests conducted in all regions of Brazil in three growing seasons over 16 yr, from 1993 to 2008. Genetic gains were estimated by two indirect methods and were compared with those found through a direct estimation method. The first methodology used the mixed model approach to calculate the best unbiased linear estimate of cycle means, as fixed effects, and the best unbiased predictor of the genotype effect within cycles, as random effects. The second methodology of generalized least squares considered a model of fixed effects, except for the error. For the direct method, 24 lines consisting of the three highest yielding of each of the eight breeding cycles were evaluated in 21 environments. The estimated percentage of annual genetic gain in grain yield by the direct method over the 16-yr period (1.23%, P < 0.01) was significant and close to the result of the fixed model analysis (1.20%, P < 0.05) and by the mixed model (1.02%, P = 0.068). These results show that the indirect methods using a fixed model and the mixed model were consistent in determining genetic gain and can be used as an alternative to the direct method.
650 $aFeijão preto
650 $aGenética
650 $aMelhoramento genético vegetal
650 $aPhaseolus vulgaris
653 $aGanho genético
700 1 $aMELO, P. G. S.
700 1 $aPEREIRA, H. S.
700 1 $aMELO, L. C.
773 $tCrop Science, Madison$gv. 57, n. 3, p. 1308-1314, Maio/June 2017.
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