Department of Animal Science, Iowa State University, 50011, Ames, IA, USA.
Theor Appl Genet. 1988 Aug;76(2):311-9. doi: 10.1007/BF00257861.
Statistical techniques for detection of major loci and for making inferences about major locus parameters such as genotypic frequencies, effects and gene action from field-collected data are presented. In field data, major genotypic effects are likely to be masked by a large number of environmental differences in addition to additive and nonadditive polygenic effects. A graphical technique and a procedure for discriminating among genetic hypotheses based on a mixed model accounting for all these factors are proposed. The methods are illustrated by using simulated data.
本文提出了用于检测主基因座和从田间收集的数据中推断主基因座参数(如基因型频率、效应和基因作用)的统计技术。在田间数据中,除了加性和非加性多基因效应之外,大量的环境差异可能掩盖主要的基因型效应。本文提出了一种基于混合模型的图形技术和一种用于区分基于所有这些因素的遗传假设的程序。这些方法通过使用模拟数据进行了说明。