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数量性状选择评估过程中群体遗传学参数的动态变化及其统计分析。I. 加性模型。一个性状

[Dynamics of population genetics parameters and their statistical during assessment selection for quantitative characters. I. An additive model. One character].

作者信息

Zhivotovskiĭ L A, Ianushpol'skiĭ I I

出版信息

Genetika. 1976;12(1):139-46.

PMID:1269922
Abstract

The selection for a single additively inherited quantitative character is studied using computer models of 3 types: 1) all the individuals had the same viability, and the paratypic deviation does not depend on their genotype; 2) differential viability of genotypes is taken into account with respect to a number of heterozygous loci; 3) differential paratypic deviation is estimated, it is introduced like viability in the model 2. Two types of trancation selection, stabilizing and directed, under the selection coefficient of approximately 0.5 are studied. There are studied dynamics of genotypic (omega2gamma) and phenotypic (omega2phi) variances, the heritability index and it estimates (for the correlation progeny-parent--rho; for the regression progeny-parent--b; for half-sibses--v), and the non-equilibrium of a population for the models. The number of generation was 10; the population number in every generation was 200; the number of loci in the main experiment was 10.h2 values were calculated in the progeny before selection (p1, b1, v1) and after selection (p2, b2, v2). It is shown that stabilizing selection results in the formation of balanced gene complexes; the rate of decreasing omega2phi depends on the genetic length of a chromosome region in which genes, determining the character, are located, and not on the number of genes. The distribution of a character under directed selection depends on the type of the model. p2, b2, and v2 values are the worst. The best is the b1 value. It is concluded that the problem of predicting the selection effect using statistical estimates of heretability is connected with the problem of investigation of population heterogeneity and integrating their genetical structure.

摘要

利用三种类型的计算机模型研究了单一加性遗传数量性状的选择

1)所有个体具有相同的生存力,副型偏差不依赖于它们的基因型;2)考虑了关于多个杂合位点的基因型差异生存力;3)估计了差异副型偏差,在模型2中像生存力一样引入。研究了在选择系数约为0.5时的两种截断选择类型,即稳定选择和定向选择。研究了基因型(ω2γ)和表型(ω2φ)方差的动态、遗传力指数及其估计值(对于亲子相关——ρ;对于亲子回归——b;对于半同胞——v)以及模型的群体非平衡。代数为10;每代的群体数量为200;主要实验中的基因座数量为10。在选择前(p1、b1、v1)和选择后(p2、b2、v2)的后代中计算h2值。结果表明,稳定选择导致平衡基因复合体的形成;ω2φ降低的速率取决于决定性状的基因所在染色体区域的遗传长度,而不是基因数量。定向选择下性状的分布取决于模型类型。p2、b2和v2值最差。最好的是b1值。得出结论,利用遗传力的统计估计来预测选择效果的问题与研究群体异质性及其遗传结构的整合问题相关。

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