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	Provedor de dados Genet. Mol. Biol. (1) PAB (1) Autor Bocianowski,Jan (1) VIANA,JOSÉ MARCELO SORIANO (1) Palavra-chave Biometrical genetics (2) Components of means (1) Epistatic interaction (1) Homozygous lines (1) QTL (1) Simulation study (1) Weighted regression (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2012 (1) 2000 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última The use of weighted multiple linear regression to estimate QTL-by-QTL epistatic effects Genet. Mol. Biol. Bocianowski,Jan. Knowledge of the nature and magnitude of gene effects, as well as their contribution to the control of metric traits, is important in formulating efficient breeding programs for the improvement of plant genetics. Information concerning a genetic parameter such as the additive-by-additive epistatic effect can be useful in traditional breeding. This report describes the results obtained by applying weighted multiple linear regression to estimate the parameter connected with an additive-by-additive epistatic interaction. Three weight variants were used: (1) standard weights based on estimated variances, (2) different weights for minimal, maximal and other lines, and (3) different weights for extreme and other lines. The approach described here combines two... Tipo: Info:eu-repo/semantics/article Palavras-chave: Biometrical genetics; Epistatic interaction; Homozygous lines; QTL; Simulation study; Weighted regression. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000500015 Generation mean analysis in relation to polygenic systems with epistasis and fixed genes PAB VIANA,JOSÉ MARCELO SORIANO. Epistatic effects involving genic combinations of fixed and non fixed genes are shown to contribute to the genotypic mean of any population. These effects define specific additive x additive and additive x dominant epistatic components. As such components are not estimable, their relative importance cannot be assessed. These epistatic effects can cause bias in the estimates of the additive and dominance components to which they are confounded. The magnitude of the bias depends on the relative values of the epistatic effects, comparatively to deviations d and h, type of prevailing epistasis and direction of dominance. Tipo: Info:eu-repo/semantics/article Palavras-chave: Biometrical genetics; Components of means. Ano: 2000 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2000000600012 Registros recuperados: 2 Primeira ... 1 ... Última

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