期刊论文详细信息
Genetics and Molecular Biology
Dominance, epistasis, heritabilities and expected genetic gains
José Marcelo Soriano Viana1 
[1] ,Universidade Federal de Viçosa Departamento de Biologia Geral Viçosa MG ,Brazil
关键词: breeding;    genetic parameters;    gene interaction;    selection;   
DOI  :  10.1590/S1415-47572005000100012
来源: SciELO
PDF
【 摘 要 】

Although epistasis is common in gene systems that determine quantitative traits, it is usually not possible to estimate the epistatic components of genotypic variance because experiments in breeding programs include only one type of progeny. As the study of this phenomenon is complex, there is a lack of theoretical knowledge on the contribution of the epistatic variances when predicting gains from selection and on the bias in estimating genetic parameters when fitting the additive-dominant model. The objective of this paper is to discuss these aspects. Regarding a non-inbred population, the genetic value due to dominance and the epistatic components of the genotypic value are not indicators of the number of favorable genes present in an individual. Thus, the efficiency of a selection process should be based on the narrow-sense heritability, a function only of additive variance. If there is no epistasis, generally it is satisfactory to assess the selection efficiency and to predict gain based on the broad-sense heritability. Regardless of the selection unit or type of epistasis, the bias in the estimate of the additive variance when assuming the additive-dominant model is considerable. This implies overestimation of the heritabilities at half sib family mean, plant within family and plant levels, and underestimation if the selection units are full sib progenies. The predicted gains will have a bias proportional to that of the heritability.

【 授权许可】

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

【 预 览 】
附件列表
Files Size Format View
RO202005130147395ZK.pdf 265KB PDF download
  文献评价指标  
  下载次数:17次 浏览次数:24次