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	Provedor de dados Colegio de Postgraduados (1) Scientia Agricola (1) Ciência Rural (1) Genet. Mol. Biol. (1) Rev. Bras. Ciênc. Solo (1) Autor Barili,Leiri Daiane (1) Brasil,Edward Madureira (1) Carneiro,José Eustáquio de Souza (1) Cezar,Everson (1) Chaves,Lázaro José (1) Chicati,Marcelo Luiz (1) Dalmolin,Ricardo Simão Diniz (1) Demattê,José Alexandre Melo (1) Duarte,João Batista (1) López Cruz, Marco Antonio (1) Miguel,Pablo (1) Nanni,Marcos Rafael (1) Nascimento,Moyses (1) Oliveira,Hinayah Rojas de (1) Oliveira,Roney Berti de (1) Povh,Fabrício Pinheiro (1) Reis,Américo José dos Santos (1) Samuel-Rosa,Alessandro (1) Silva,Fabyano Fonseca e (1) Valdisser,Paula Arielle Mendes Ribeiro (1) Mais... Palavra-chave Cross-validation (5) Additive log-ratio (1) BLUP (1) Diallel analysis (1) Digital soil mapping (1) Estadística (1) Grid sampling (1) Kappa statistic (1) Kriging (1) Maestría (1) Multiple linear regression (1) Penalized regression (1) Phaseolus vulgaris (1) Predicción de valores genéticos (1) Prediction (1) Prediction of genetic values (1) Regresión penalizada (1) SNP markers (1) Soil attributes (1) Terrain attributes (1) Mais... Tipo do documento Info:eu-repo/semantics/article (4) Ano 2018 (1) 2013 (1) 2012 (1) 2011 (1) 2005 (1) País Brazil (4) Mexico (1) Idioma Inglês (4) Espanhol (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 5 Primeira ... 1 ... Última Aplicación del Elastic Net LASSO y modelos relacionados en selección genómica basados en marcadores moleculares. Colegio de Postgraduados López Cruz, Marco Antonio. El Elastic Net Bayesiano (BEN) es un método de regresión que utiliza una mezcla de las penalizaciones L1 y L2 (Kyung et al., 2010, Li y Lin, 2010). Se ha demostrado que este modelo puede ser usado exitosamente cuando el tamaño de muestra es mucho menor que el número de predictores (n << p). En este trabajo se muestra cómo utilizar este modelo para incluir de forma conjunta Marcadores Moleculares (MM) y Pedigree, ampliamente utilizados en gen etica cuantitativa en la llamada selección asistida por MM. Por medio de validación cruzada, el poder predictivo del BEN se compara con el de otros modelos: LASSO Bayesiano y Regresión Ridge Bayesiana, usando datos reales de rendimiento de cultivares de trigo y cebada, y tiempos de floración de maíz. Los... Palavras-chave: Validación cruzada; Regresión penalizada; Predicción de valores genéticos; Cross-validation; Penalized regression; Prediction of genetic values; Estadística; Maestría. Ano: 2012 URL: http://hdl.handle.net/10521/712 Building predictive models of soil particle-size distribution Rev. Bras. Ciênc. Solo Samuel-Rosa,Alessandro; Dalmolin,Ricardo Simão Diniz; Miguel,Pablo. Is it possible to build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable land-surface? The main objective of this study was to answer this question. A set of 339 soil samples from a small slope catchment in Southern Brazil was used to build PMs of psd in the surface soil layer. Multiple linear regression models were constructed using terrain attributes (elevation, slope, catchment area, convergence index, and topographic wetness index). The PMs explained more than half of the data variance. This performance is similar to (or even better than) that of the conventional soil mapping approach. For some size fractions, the PM performance can reach 70 %. Largest uncertainties were observed... Tipo: Info:eu-repo/semantics/article Palavras-chave: Digital soil mapping; Terrain attributes; Multiple linear regression; Cross-validation; Additive log-ratio. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000200013 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 Optimum size in grid soil sampling for variable rate application in site-specific management Scientia Agricola Nanni,Marcos Rafael; Povh,Fabrício Pinheiro; Demattê,José Alexandre Melo; Oliveira,Roney Berti de; Chicati,Marcelo Luiz; Cezar,Everson. The importance of understanding spatial variability of soils is connected to crop management planning. This understanding makes it possible to treat soil not as a uniform, but a variable entity, and it enables site-specific management to increase production efficiency, which is the target of precision agriculture. Questions remain as the optimum soil sampling interval needed to make site-specific fertilizer recommendations in Brazil. The objectives of this study were: i) to evaluate the spatial variability of the main attributes that influence fertilization recommendations, using georeferenced soil samples arranged in grid patterns of different resolutions; ii) to compare the spatial maps generated with those obtained with the standard sampling of 1 sample... Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil attributes; Grid sampling; Kriging; Cross-validation; Kappa statistic. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000300017 Prediction of hybrid means from a partial circulant diallel table using the ordinary least square and the mixed model methods Genet. Mol. Biol. Reis,Américo José dos Santos; Chaves,Lázaro José; Duarte,João Batista; Brasil,Edward Madureira. By definition, the genetic effects obtained from a circulant diallel table are random. However, because of the methods of analysis, those effects have been considered as fixed. Two different statistical approaches were applied. One assumed the model to be fixed and obtained solutions through the ordinary least square (OLS) method. The other assumed a mixed model and estimated the fixed effects (BLUE) by generalized least squares (GLS) and the best linear unbiased predictor (BLUP) of the random effects. The goal of this study was to evaluate the consequences when considering these effects as fixed or random, using the coefficient of correlation between the responses of observed and non-observed hybrids. Crossings were made between S1 inbred lines from two... Tipo: Info:eu-repo/semantics/article Palavras-chave: Diallel analysis; BLUP; Prediction; Cross-validation. Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572005000200023 Registros recuperados: 5 Primeira ... 1 ... Última

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