Encontrados 14 documentos, a visualizar página 1 de 2
Triple categorical regression for genomic selection: application to cassava bre...
Lima, Leísa Pires; Azevedo, Camila Ferreira; Resende, Marcos Deon Vilela de; Silva, Fabyano Fonseca e; Viana, José Marcelo SorianoGenome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are calculated through appropriate models, which estimate the effect ...
New insights into genomic selection through population-based non-parametric pre...
Lima, Leísa Pires; Azevedo, Camila Ferreira; Resende, Marcos Deon Vilela de; Silva, Fabyano Fonseca e; Suela, Matheus Massariol; Nascimento, MoysésGenome-wide selection (GWS) is based on a large number of markers widely distributed throughout the genome. Genome-wide selection provides for the estimation of the effect of each molecular marker on the phenotype, thereby allowing for the capture of all genes affecting the quantitative traits of interest. The main statistical tools applied to GWS are based on random regression or dimensionality reduction metho...
Multi-trait multi-environment Bayesian model reveals G x E interaction for nitr...
Torres, Lívia Gomes; Rodrigues, Mateus Cupertino; Lima, Nathan Lamounier; Trindade, Tatiane Freitas Horta; Silva, Fabyano Fonseca eIdentifying maize inbred lines that are more efficient in nitrogen (N) use is an important strategy and a necessity in the context of environmental and economic impacts attributed to the excessive N fertilization. N-uptake efficiency (NUpE) and N-utilization efficiency (NUtE) are components of N-use efficiency (NUE). Despite the most maize breeding data have a multitrait structure, they are often analyzed under...
Modelagem hierárquica Bayesiana na avaliação de curvas de crescimento de suínos...
Macedo, Leandro Roberto de; Silva, Fabyano Fonseca e; Cirillo, Marcelo Ângelo; Nascimento, Moysés; Paixão, Débora MartinsPara avaliar a influência do gene halotano sobre a curva de crescimento de suínos, bem como sua interação com o sexo do animal, foi proposta uma modelagem hierárquica Bayesiana. Nesta abordagem, os parâmetros dos modelos não- lineares de crescimento (Logístico, Gompertz e von Bertalanffy) foram estimados conjuntamente com os efeitos de sexo e genótipos do gene halotano. Foram utilizados 344 animais F2(Comercial...
Genotypic variation and relationships among traits for root morphology in a pan...
Torres, Lívia Gomes; Caixeta, Diego Gonçalves; Rezende, Wemerson Mendonça; Schuster, Andreia; Azevedo, Camila Ferreira; Silva, Fabyano Fonseca eA strategy to increase nitrogen (N) use efficiency in maize is the genetic improvement of N acquisition through root morphology. Here, we quantified the genetic variation of 150 tropical maize inbred lines for root morphology and shoot traits and investigated the relationships among traits. We evaluated the inbred lines at the seedling stage in a greenhouse experiment under two treatments: high N and low N supp...
Bayesian model combining linkage and linkage disequilibrium analysis for low de...
Silva, Fabyano Fonseca; Jerez, Elcer Albenis Zamora; Resende, Marcos Deon Vilela de; Viana, José Marcelo Soriano; Azevedo, Camila FerreiraWe combined linkage (LA) and linkage disequilibrium (LDA) analyses (emerging the term ‘LALDA’) for genomic selection (GS) purposes. The models were fitted to a simulated dataset and to a real data of feed conversion ratio in pigs. Firstly, the significant QTLs (quantitative trait locus) were identified through LA-based mixed models considering the QTL-genotypes as random effects by means of genotypic identity b...
GenomicLand: Software for genome-wide association studies and genomic prediction
Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme DamiãoGenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. Th...
Quadrados mínimos parciais uni e multivariado aplicados na seleção genômica par...
Azevedo, Camila Ferreira; Silva, Fabyano Fonseca e; Peternelli, Luiz Alexandre; Guimarães, Simone Eliza Facione; Lopes, Paulo SávioA principal contribuição da genética molecular é a utilização direta das informações de DNA no processo de identificação de indivíduos geneticamente superiores. Sob esse enfoque, idealizou-se a seleção genômica ampla (Genome Wide Selection - GWS), a qual consiste na análise de marcadores SNPs (Single Nucleotide Polymorphisms) amplamente distribuídos no genoma. Devido a esse grande número de SNPs, geralmente mai...
Regressão via componentes independentes aplicada à seleção genômica para caract...
Azevedo, Camila Ferreira; Silva, Fabyano Fonseca e; Lopes, Paulo Sávio; Guimarães, Simone Eliza Facioni; Resende, Marcos Deon Vilela deO objetivo deste trabalho foi avaliar a eficiência do método de regressão via componentes independentes (ICR) na estimação de valores genéticos genômicos e dos efeitos de marcadores SNP para características de carcaça de uma população F2 de suínos (Piau x linhagem comercial). Os métodos foram avaliados por meio da concordância entre os valores genéticos preditos e os fenótipos corrigidos, observados por validaç...
Ridge, Lasso and Bayesian additive-dominance genomic models
Azevedo, Camila Ferreira; Resende, Marcos Deon Vilela de; Silva, Fabyano Fonseca e; Viana, José Marcelo Soriano; Valente, Magno Sávio FerreiraA complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for additive-dominance models. The objective of this paper was (i) to compare the performance of 10 additive-dominance predictive models (including current models and proposed modifications), fitted using Bayesian, Lasso and Ridge reg...