| Título: |
Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884 Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884 |
| Autores: |
Fritsche-Neto, Roberto; Universidade Federal de Viçosa DoVale, Júlio César; Universidade Federal de Viçosa Lanes, Éder Cristian Malta de; Universidade Federal de Viçosa Resende, Marcos Deon Vilela de; Embrapa Florestas Miranda, Glauco Vieira; Universidade Federal de Viçosa |
| Fecha: | 2012-09-06 |
| Publicador: | Acta Scientiarum. Agronomy |
| Fuente: |
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| Tipo: |
Pesquisa Empírica de Campo |
| Tema: |
5.01.03.05-9 marker-assisted selection; recurrent selection; abiotic stresses Melhoramento vegetal marker-assisted selection; recurrent selection; abiotic stresses |
| Descripción: |
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. 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. |
| Idioma: | Inglés |