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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
08/05/2009 |
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Data da última atualização: |
03/03/2010 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEREIRA, J. M. de A. T. K.; MINIM, V. P. R.; PUSCHAMNN, R.; VANETTI, M. C. D.; SOARES, N. de F. F.; MORETTI, C. L.; VIEIRA, J. V. |
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Afiliação: |
Celso Luiz Moretti, Embrapa Hortaliças; Jairo Vidal Vieira, Embrapa Hortaliças; Joesse Maria de Assis Teixeira Kluge Pereira, Universidade Federal de Viçosa; Valéria Paula Rodrigues Minim, Universidade Federal de Viçosa; Rolf Puschamnn, Universidade Federal de Viçosa; Maria Cristina Dantas Vanetti, Universidade Federal de Viçosa; Nilda de Fátima Ferreira Soares, Universidade Federal de Viçosa. |
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Título: |
Qualidade físico-química de mini-cenouras revestidas. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Revista Ceres, Viçosa, MG, v. 55, n. 6, p. 537-542, nov./dez. 2008 |
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Idioma: |
Português |
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Palavras-Chave: |
Esbranquiçamento; Mini-cenoura; Produto minimamente processado. |
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Thesagro: |
Análise Física; Análise Química; Cenoura; Daucus Carota; Processamento Mínimo; Qualidade; Revestimento. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00859naa a2200301 a 4500
001 1781404
005 2010-03-03
008 2008 bl uuuu u00u1 u #d
100 1 $aPEREIRA, J. M. de A. T. K.
245 $aQualidade físico-química de mini-cenouras revestidas.
260 $c2008
650 $aAnálise Física
650 $aAnálise Química
650 $aCenoura
650 $aDaucus Carota
650 $aProcessamento Mínimo
650 $aQualidade
650 $aRevestimento
653 $aEsbranquiçamento
653 $aMini-cenoura
653 $aProduto minimamente processado
700 1 $aMINIM, V. P. R.
700 1 $aPUSCHAMNN, R.
700 1 $aVANETTI, M. C. D.
700 1 $aSOARES, N. de F. F.
700 1 $aMORETTI, C. L.
700 1 $aVIEIRA, J. V.
773 $tRevista Ceres, Viçosa, MG$gv. 55, n. 6, p. 537-542, nov./dez. 2008
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Registro original: |
Embrapa Hortaliças (CNPH) |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Meio-Norte; Embrapa Rondônia. |
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Data corrente: |
10/07/2023 |
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Data da última atualização: |
10/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CASTRO, A. P. de; BRESEGHELLO, F.; FURTINI, I. V.; UTUMI, M. M.; PEREIRA, J. A.; CAO, T.-V.; BARTHOLOMÉ, J. |
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Afiliação: |
ADRIANO PEREIRA DE CASTRO, CNPAF; FLAVIO BRESEGHELLO, CNPAF; ISABELA VOLPI FURTINI, CNPAF; MARLEY MARICO UTUMI, CPAF-RO; JOSE ALMEIDA PEREIRA, CPAMN; TUONG-VI CAO, CIRAD; JÉRÔME BARTHOLOMÉ, CIRAD. |
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Título: |
Population improvement via recurrent selection drives genetic gain in upland rice breeding. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Heredity, 2023. |
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ISSN: |
0018-067X |
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DOI: |
https://doi.org/10.1038/s41437-023-00636-3 |
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Idioma: |
Inglês |
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Conteúdo: |
One of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to identify promising genotypes. In rice, population improvement through recurrent selection has been used very little to date, except in Latin America. At Embrapa (Brazilian Agricultural Research Corporation), the upland rice breeding program is conducted in two phases: population improvement followed by product development. In this study, the CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. A high rate of genetic gain was observed for grain yield, at 215 kg.ha-1 per cycle or 67.8 kg.ha-1 per year (3.08%). The CNA6 population outperformed the controls only for the last cycle, with a yield difference of 1128 kg.ha-1. An analysis of the product development pipeline, based on 29 advanced yield trials with lines derived from cycles 3 to 6, showed that lines derived from the CNA6 population had high grain yield, but did not outperform the controls. These results demonstrate that the application of recurrent selection to a breeding population with sufficient genetic variability can result in significant genetic gains for quantitative traits, such as grain yield. The integration of this strategy into a two-phase breeding program also makes it possible to increase quantitative traits while selecting for other traits of interest. MenosOne of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to identify promising genotypes. In rice, population improvement through recurrent selection has been used very little to date, except in Latin America. At Embrapa (Brazilian Agricultural Research Corporation), the upland rice breeding program is conducted in two phases: population improvement followed by product development. In this study, the CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. A high rate of genetic gain was observed for grain yield, at 215 kg.ha-1 per cycle or 67.8 kg.ha-1 per year (3.08%). The CNA6 population outperformed the controls only for the last cycle, with a yield difference of 1128 kg.ha-1. An analysis of the product development pipeline, based on 29 advanced yield trials with lines derived from cycles 3 to 6, showed that lines derived from the CNA6 population had high grain yield, but did not outperform the controls. These results demonstrate that the application of recurrent selection to a breeding population with sufficient genetic variability can result in significant genetic gains for quantitative traits, such as grain yield. The integration of this strategy into a ... Mostrar Tudo |
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Palavras-Chave: |
Genetic gain. |
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Thesagro: |
Arroz; Genótipo; Melhoramento Genético Vegetal; Oryza Sativa; Seleção Recorrente. |
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Thesaurus NAL: |
Breeding and Genetic Improvement; Genotype; Plant breeding; Recurrent selection; Rice; Variability. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02634naa a2200361 a 4500
001 2154861
005 2023-07-10
008 2023 bl uuuu u00u1 u #d
022 $a0018-067X
024 7 $ahttps://doi.org/10.1038/s41437-023-00636-3$2DOI
100 1 $aCASTRO, A. P. de
245 $aPopulation improvement via recurrent selection drives genetic gain in upland rice breeding.$h[electronic resource]
260 $c2023
520 $aOne of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to identify promising genotypes. In rice, population improvement through recurrent selection has been used very little to date, except in Latin America. At Embrapa (Brazilian Agricultural Research Corporation), the upland rice breeding program is conducted in two phases: population improvement followed by product development. In this study, the CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. A high rate of genetic gain was observed for grain yield, at 215 kg.ha-1 per cycle or 67.8 kg.ha-1 per year (3.08%). The CNA6 population outperformed the controls only for the last cycle, with a yield difference of 1128 kg.ha-1. An analysis of the product development pipeline, based on 29 advanced yield trials with lines derived from cycles 3 to 6, showed that lines derived from the CNA6 population had high grain yield, but did not outperform the controls. These results demonstrate that the application of recurrent selection to a breeding population with sufficient genetic variability can result in significant genetic gains for quantitative traits, such as grain yield. The integration of this strategy into a two-phase breeding program also makes it possible to increase quantitative traits while selecting for other traits of interest.
650 $aBreeding and Genetic Improvement
650 $aGenotype
650 $aPlant breeding
650 $aRecurrent selection
650 $aRice
650 $aVariability
650 $aArroz
650 $aGenótipo
650 $aMelhoramento Genético Vegetal
650 $aOryza Sativa
650 $aSeleção Recorrente
653 $aGenetic gain
700 1 $aBRESEGHELLO, F.
700 1 $aFURTINI, I. V.
700 1 $aUTUMI, M. M.
700 1 $aPEREIRA, J. A.
700 1 $aCAO, T.-V.
700 1 $aBARTHOLOMÉ, J.
773 $tHeredity, 2023.
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