期刊论文详细信息
Revista Brasileira de Zootecnia
Behavior of genetic (co)variance components in populations simulated from non-additive genetic models of dominance and overdominance
Elizângela Emídio Cunha2  Ricardo Frederico Euclydes1  Paulo Sávio Lopes1  Robledo De Almeida Torres1  Paulo Luiz Souza Carneiro1 
[1] ,UFRN Departamento de Genética Natal RN
关键词: closed population;    computer simulation;    dominance deviation;    genetic variability;    intralocus interaction;    desvio da dominância;    interação intraloco;    população fechada;    simulação em computador;    variabilidade genética;   
DOI  :  10.1590/S1516-35982010000900013
来源: SciELO
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【 摘 要 】

The aim of this work was to investigate the short-term behavior of the genetic variability of quantitative traits simulated from models with additive and non-additive gene action in control and phenotypic selection populations. Both traits, one with low (h² = 0.10) and the other with high (h² = 0.60) heritability, were controlled by 600 biallelic loci. From a standard genome, it was obtained six genetic models which included the following: only the additive gene effects; complete and positive dominance for 25, 50, 75 and 100% of the loci; and positive overdominance for 50% of the loci. In the models with dominance deviation, the additive allelic effects were also included for 100% of the loci. Genetic variability was quantified from generation to generation using the genetic variance components. In the absence of selection, genotypic and additive genetic variances were higher. In the models with non-additive gene action, a small magnitude covariance component raised between the additive and dominance genetic effects whose correlation tended to be positive on the control population and negative under selection. Dominance variance increased as the number of loci with dominance deviation or the value of the deviation increased, implying on the increase in genotypic and additive genetic variances among the successive models.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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