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41. | | CAVALCANTE, H. C.; NEVES, P. de C. F.; TAILLEBOIS, J.; DUARTE, J. B. Uso da seleção massal em arroz, com incremento na aptidão fêmea à produção de sementes híbridas. In: SEMINÁRIO JOVENS TALENTOS, 12., 2018, Santo Antônio de Goiás. Resumos. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2018. p. 62. (Embrapa Arroz e Feijão. Eventos técnicos & científicos, 2) Biblioteca(s): Embrapa Arroz e Feijão. |
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44. | | FERREIRA, M. A. J. da F.; QUEIRÓZ, M. A. de; VENCOVSKY, R.; DUARTE, J. B.; COELHO, A. S. G. Componentes da variância genética em melancia. Horticultura Brasileira, v. 23, n. 2, p. 423, ago. 2005. Suplemento. Edição dos resumos: CONGRESSO BRASILEIRO DE OLERICULTURA, 45.; CONGRESSO BRASILEIRO DE FLORICULTURA E PLANTAS ORNAMENTAIS, 15.; CONGRESSO BRASILEIRO DE CULTURA DE TECIDOS DE PLANTAS, 2., 2005, Fortaleza, CE. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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46. | | OLIVEIRA, J. P. de; MOREIRA JUNIOR, W. N.; DUARTE, J. B.; CHAVES, L. J.; PINHEIRO, J. B. Genotype-environment interaction in maize hybrids: an application of the AMMI model. Crop Breeding and Applied Biotechnology, Londrina, v. 3, n. 2, p. 185-192, Sept. 2003. Biblioteca(s): Embrapa Arroz e Feijão. |
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47. | | OLIVEIRA, J. P. de; CHAVES, L. J.; DUARTE, J. B.; RIBEIRTO, K. de O.; BRASIL, E. M. Heterosis for oil content in maize populations and hybrids of high quality protein. Crop breeding and applied biotechnology, Londrina, v. 6, n. 2, p. 113-120, June 2006. Biblioteca(s): Embrapa Agricultura Digital. |
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48. | | BRANQUINHO, R. G.; DUARTE, J. B.; SOUZA, P. I. M. de; SILVA NETO, S. P. da; PACHECO, R. M. Estratificação ambiental e otimização de rede de ensaios de genótipos de soja no Cerrado. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 10, p. 783-795, out. 2014. Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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49. | | BRANQUINHO, R. G.; CASTRO, A. P. de; COLOMBARI FILHO, J. M.; HEINEMANN, A. B.; DUARTE, J. B. Poder de discriminação de genótipos e representatividade de locais utilizados na avaliação de arroz de terras altas. In: SEMINÁRIO JOVENS TALENTOS, 7., 2013, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2013. p. 98. (Embrapa Arroz e Feijão. Documentos, 292). Pôster - pós-graduação. Biblioteca(s): Embrapa Arroz e Feijão. |
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51. | | DIAS, M. J. D.; TONIOLLO, G. H.; DIAS, D. S. de O.; DUARTE, J. B.; BORGES, G. T. Efeito do fotoperíodo artificial e diferentes níveis de energia na dieta no pós parto sobre o desempenho reprodutivo de cabras leiteira primiparas. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 40., 2003, Santa Maria, RS. Otimizando a produção animal: anais. Santa Maria: Sociedade Brasileira de Zootecnia, 2003. 4 f. 1 CD ROM. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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52. | | MORAIS JÚNIOR, O. P.; BRESEGHELLO, F.; DUARTE, J. B.; MORAIS, O. P.; RANGEL, P. H. N.; COELHO, A. S. G. Effectiveness of recurrent selection in irrigated rice breeding. Crop Science, v. 57, n. 6, p. 3043-3058, Nov./Dec. 2017. Biblioteca(s): Embrapa Arroz e Feijão. |
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53. | | DAVI, G. S.; DUARTE, J. B.; SILVA, A. R. da; GUIMARAES, L. J. M.; GUIMARAES, P. E. Capacidade de combinação para produtividade de grãos entre linhagens elite de milho. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015. Biblioteca(s): Embrapa Milho e Sorgo. |
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59. | | PACHECO, R. M.; DUARTE, J. B.; SOUZA, P. I. M. de; SILVA, S. A. da; NUNES JUNIOR, J. Key locations for soybean genotype assessment in Central Brazil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 5, p. 478-486, maio 2009 Título em português: Locais-chave para avaliação de genótipos de soja na Região Central do Brasil. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
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Registros recuperados : 77 | |
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Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
26/01/2018 |
Data da última atualização: |
26/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MORAIS JÚNIOR, O. P.; BRESEGHELLO, F.; DUARTE, J. B.; MORAIS, O. P.; RANGEL, P. H. N.; COELHO, A. S. G. |
Afiliação: |
ODILON PEIXOTO MORAIS JUNIOR; FLAVIO BRESEGHELLO, CNPAF; JOAO BATISTA DUARTE, UFG; ORLANDO PEIXOTO DE MORAIS, CNPAF; PAULO HIDEO NAKANO RANGEL, CNPAF; ALEXANDRE S. G. COELHO, UFG. |
Título: |
Effectiveness of recurrent selection in irrigated rice breeding. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Crop Science, v. 57, n. 6, p. 3043-3058, Nov./Dec. 2017. |
DOI: |
10.2135/cropsci2017.05.0276 |
Idioma: |
Inglês |
Conteúdo: |
Plant breeding for quantitative traits is a complicated task; thus, the recurrent selection method has been used in the rice (Oryza sativa L.) breeding program at the Brazilian Agricultural Research Corporation (Embrapa). Our general objective was to assess the effectiveness of this method in achieving genetic progress, maintaining genetic variability, and increasing the potential for selection of superior lines. A genetically broad-based population of irrigated rice, CNA12S, submitted to three selection cycles was used in this study. The dataset comprised 10 yield trials, in which 667 S1:3 progenies and six check cultivars were assessed for grain yield, plant height, and days to flowering. We measured effective population size in each cycle, using standard and linkage disequilibrium methods, and Nei's genetic diversity in the third cycle. Such analyses were performed using data of single-nucleotide polymorphism markers from progenies of the third cycle. For estimating the genetic gain, we adapted a generalized linear regression method to the Bayesian approach. This approach was also used to estimate variance and covariance components, according to the multivariate linear mixed model. Magnitudes of genetic and relative variation coefficients, as well as Nei?s genetic diversity, indicated maintenance of genetic variability over cycles. Mean genetic gain per year was 1.98% for grain yield and -1.29% for days to flowering. Genetic potential of the population for extraction of superior lines was increased, considering single-, two-, or three-trait selection. Our results show the effectiveness of the recurrent selection method when applied in rice breeding, although some refinements in the selection strategy could further improve its efficiency. MenosPlant breeding for quantitative traits is a complicated task; thus, the recurrent selection method has been used in the rice (Oryza sativa L.) breeding program at the Brazilian Agricultural Research Corporation (Embrapa). Our general objective was to assess the effectiveness of this method in achieving genetic progress, maintaining genetic variability, and increasing the potential for selection of superior lines. A genetically broad-based population of irrigated rice, CNA12S, submitted to three selection cycles was used in this study. The dataset comprised 10 yield trials, in which 667 S1:3 progenies and six check cultivars were assessed for grain yield, plant height, and days to flowering. We measured effective population size in each cycle, using standard and linkage disequilibrium methods, and Nei's genetic diversity in the third cycle. Such analyses were performed using data of single-nucleotide polymorphism markers from progenies of the third cycle. For estimating the genetic gain, we adapted a generalized linear regression method to the Bayesian approach. This approach was also used to estimate variance and covariance components, according to the multivariate linear mixed model. Magnitudes of genetic and relative variation coefficients, as well as Nei?s genetic diversity, indicated maintenance of genetic variability over cycles. Mean genetic gain per year was 1.98% for grain yield and -1.29% for days to flowering. Genetic potential of the population for extraction of s... Mostrar Tudo |
Thesagro: |
Arroz irrigado; Melhoramento genético vegetal; Oryza sativa; Seleção recorrente. |
Thesaurus NAL: |
Recurrent selection; Rice. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02553naa a2200265 a 4500 001 2086482 005 2018-01-26 008 2017 bl uuuu u00u1 u #d 024 7 $a10.2135/cropsci2017.05.0276$2DOI 100 1 $aMORAIS JÚNIOR, O. P. 245 $aEffectiveness of recurrent selection in irrigated rice breeding.$h[electronic resource] 260 $c2017 520 $aPlant breeding for quantitative traits is a complicated task; thus, the recurrent selection method has been used in the rice (Oryza sativa L.) breeding program at the Brazilian Agricultural Research Corporation (Embrapa). Our general objective was to assess the effectiveness of this method in achieving genetic progress, maintaining genetic variability, and increasing the potential for selection of superior lines. A genetically broad-based population of irrigated rice, CNA12S, submitted to three selection cycles was used in this study. The dataset comprised 10 yield trials, in which 667 S1:3 progenies and six check cultivars were assessed for grain yield, plant height, and days to flowering. We measured effective population size in each cycle, using standard and linkage disequilibrium methods, and Nei's genetic diversity in the third cycle. Such analyses were performed using data of single-nucleotide polymorphism markers from progenies of the third cycle. For estimating the genetic gain, we adapted a generalized linear regression method to the Bayesian approach. This approach was also used to estimate variance and covariance components, according to the multivariate linear mixed model. Magnitudes of genetic and relative variation coefficients, as well as Nei?s genetic diversity, indicated maintenance of genetic variability over cycles. Mean genetic gain per year was 1.98% for grain yield and -1.29% for days to flowering. Genetic potential of the population for extraction of superior lines was increased, considering single-, two-, or three-trait selection. Our results show the effectiveness of the recurrent selection method when applied in rice breeding, although some refinements in the selection strategy could further improve its efficiency. 650 $aRecurrent selection 650 $aRice 650 $aArroz irrigado 650 $aMelhoramento genético vegetal 650 $aOryza sativa 650 $aSeleção recorrente 700 1 $aBRESEGHELLO, F. 700 1 $aDUARTE, J. B. 700 1 $aMORAIS, O. P. 700 1 $aRANGEL, P. H. N. 700 1 $aCOELHO, A. S. G. 773 $tCrop Science$gv. 57, n. 6, p. 3043-3058, Nov./Dec. 2017.
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