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	Provedor de dados Ciência Rural (2) Autor Nascimento,Moyses (2) Silva,Fabyano Fonseca e (2) Barili,Leiri Daiane (1) Carneiro,José Eustáquio de Souza (1) Costa,Edson Vinícius (1) Lopes,Paulo Sávio (1) Marques,Luiz Fernando Aarão (1) Mota,Rodrigo Reis (1) Oliveira,Hinayah Rojas de (1) Silva,Luciano Pinheiro da (1) Valdisser,Paula Arielle Mendes Ribeiro (1) Vale,Naine Martins do (1) Vianello,Rosana Pereira (1) Mais... Palavra-chave Computational demand (1) Cross-validation (1) Genetic parameters (1) Heritability (1) Phaseolus vulgaris (1) SNP markers (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (1) 2016 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Multi-Trait analysis of growth traits: fitting reduced rank models using principal components for Simmental beef cattle Ciência Rural Mota,Rodrigo Reis; Costa,Edson Vinícius; Lopes,Paulo Sávio; Nascimento,Moyses; Silva,Luciano Pinheiro da; Silva,Fabyano Fonseca e; Marques,Luiz Fernando Aarão. ABSTRACT: The aim of this research was to evaluate the dimensional reduction of additive direct genetic covariance matrices in genetic evaluations of growth traits (range 100-730 days) in Simmental cattle using principal components, as well as to estimate (co)variance components and genetic parameters. Principal component analyses were conducted for five different models-one full and four reduced-rank models. Models were compared using Akaike information (AIC) and Bayesian information (BIC) criteria. Variance components and genetic parameters were estimated by restricted maximum likelihood (REML). The AIC and BIC values were similar among models. This indicated that parsimonious models could be used in genetic evaluations in Simmental cattle. The first... Tipo: Info:eu-repo/semantics/article Palavras-chave: Computational demand; Genetic parameters; Heritability. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901656 Genome prediction accuracy of common bean via Bayesian models Ciência Rural Barili,Leiri Daiane; Vale,Naine Martins do; Silva,Fabyano Fonseca e; Carneiro,José Eustáquio de Souza; Oliveira,Hinayah Rojas de; Vianello,Rosana Pereira; Valdisser,Paula Arielle Mendes Ribeiro; Nascimento,Moyses. ABSTRACT: We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits “stay-green” (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean through Bayesian models. These models were compared in terms of prediction accuracy and ability for heritability estimation for each one of the mentioned traits. A total of 80 cultivars were genotyped for 377 SNP markers, whose effects were estimated by five different Bayesian models: Bayes A (BA), B (BB), C (BC), LASSO (BL) e Ridge regression (BRR). Although, prediction accuracies calculated by means of cross-validation have been similar within each trait, the BB model stood out for the trait SG, whereas the BRR was... Tipo: Info:eu-repo/semantics/article Palavras-chave: Phaseolus vulgaris; SNP markers; Cross-validation. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000800204 Registros recuperados: 2 Primeira ... 1 ... Última

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