Global ETD Search
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Showing 1 to 7 of 7 for “"RR-BLUP"”.
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Predição de valores genéticos por abordagens de seleção genômica ampla e de inteligência computacional
… o capitulo propõe avaliar a eficiência do RR-BLUP para predição de valores genéticos de uma população simulada com 12 características complexas que contemplavam efeitos de dominância, epistasia e efeitos ambientais. No capítulo 2 propõe-se a aplicação dos Métodos de Regressão Stepwise e da …
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Evaluation of genomic prediction models that incorporates peak GWAS signals in maize and sorghum diversity panels
… Regression Best Linear Unbiased prediction (RR-BLUP) model that included fixed effect covariates tagging peak GWAS signals. The ability of such covariates to increase GS prediction accuracy in the RR-BLUP model under a wide variety of genetic architectures and genomic backgrounds is …
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Testing new genetic and genomic approaches for trait mapping and prediction in wheat (Triticum aestivum) and rice (Oryza spp)
… less dense physical map derived from diversity arrays technology (DArT) markers. GBS detected more QTLs than DArT markers although some of the QTLs were detected by DArT markers alone. Prediction accuracies from the two marker platforms were mostly similar and largely dependent on trait genetic …
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Genomic selection and quantitative trait loci mapping for Fusarium head blight resistance in wheat (Triticum aestivum L.)
… disease of wheat (Triticum aestivum L.) occurring in most growing areas. The disease is primarily caused by Fusarium graminearum Schwabe [telemorph: Gibberella zeae Schw. (Petch)], in North America, and the majority of current wheat cultivars are susceptible to it. Significant economic losses …
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Dissection of Soil Waterlogging Tolerance in Soft Red Winter Wheat using Genomic Approaches
… were measured at plant maturity. Negative correlations between TKW and KWS with aluminum and iron concentrations indicated the impact of elemental toxicity on grain production. A ten-fold cross-validation (CV) analysis and ridge regression BLUP (RR-BLUP) model found GS prediction accuracies …
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Models and methods for computer simulations as a resource in plant breeding
… to high epistasis, pRKHS-E. Compared to RR-BLUP, BayesA, BayesB, and RKHS, pRKHS delivers greater predictive ability, particularly when epistasis impacts expression in the trait of interest. Beyond prediction, the new method also facilitated inferences about the extent to which epistasis …
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Molecular markers associated with barley yellow dwarf virus tolerance in spring oat and their utilization in predictive breeding
… oat single nucleotide polymorphism (SNP) array as well as a SNP-based consensus map. Marker-trait associations were performed using a Q-K mixed model approach to control for population structure and relatedness. Six significant SNP-trait associations representing two QTL were found on …