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| Registros recuperados : 70 | |
| 10. |  | SILVA, G. O. da; CARVAL, A. D. F. de; VIEIRA, J. V.; FRITSCHE NETO, R. Adaptabilidade e estabilidade de populações de cenoura. Horticultura Brasileira, Brasilia, DF, v. 30, n. 1, p. 80-83, 2012.| Biblioteca(s): Embrapa Hortaliças. |
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| 11. | | FRITSCHE-NETO, R.; MIRANDA, G. V.; DELIMA, R. O.; SOUZA, L. V. de; SILVA, J. da. Herança de caracteres associados à eficiência de utilização do fósforo em milho. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 5, p. 465-471, mai. 2010.| Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Unidades Centrais. |
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| 18. | | DOVALE, J. C.; FRITSCHE-NETO, R.; BERMUDEZ, F.; MIRANDA, G. V. Efeitos gênicos de caracteres associados à eficiência no uso de nitrogênio em milho. Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 47, n. 3, p. 385-392, mar. 2012. Título em inglês: Genetic effects of traits associated to nitrogen use efficiency in maize.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 70 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
23/10/2012 |
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Data da última atualização: |
20/02/2015 |
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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: |
FRITSCHE-NETO, R.; DOVALE, J. C.; LANES, É. C. M. de; RESENDE, M. D. V. de; MIRANDA, G. V. |
|
Afiliação: |
ROBERTO FRITSCHE-NETO, UFV; JULIO CÉSAR DOVALE, UFV; ÉDER CRISTIAN MALTA DE LANES, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; GLAUCO VIEIRA MIRANDA, UFV. |
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Título: |
Genome-wide selection for tropical maize root traits under conditions of nitrogen and phosphorus stress. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Acta Scientiarum. Agronomy, Maringá, v. 34, n. 4, p. 389-395, Oct./Dec. 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions. |
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Thesagro: |
Fósforo; Milho; Nitrogênio; Raiz; Seleção Genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01942naa a2200229 a 4500
001 1937629
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008 2012 bl uuuu u00u1 u #d
100 1 $aFRITSCHE-NETO, R.
245 $aGenome-wide selection for tropical maize root traits under conditions of nitrogen and phosphorus stress.$h[electronic resource]
260 $c2012
520 $aThe objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions.
650 $aFósforo
650 $aMilho
650 $aNitrogênio
650 $aRaiz
650 $aSeleção Genética
700 1 $aDOVALE, J. C.
700 1 $aLANES, É. C. M. de
700 1 $aRESENDE, M. D. V. de
700 1 $aMIRANDA, G. V.
773 $tActa Scientiarum. Agronomy, Maringá$gv. 34, n. 4, p. 389-395, Oct./Dec. 2012.
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