Estimation of effective number of breeders from molecular coancestry of single cohort sample.
Estimation of effective number of breeders from molecular coancestry of single cohort sample.
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DOI：
10.1111/j.1752-4571.2008.00015.x
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发表时间：
2008-08
影响因子：
4.1
通讯作者：
Nomura T
中科院分区：
文献类型：
--
作者：
Nomura T
有效种群大小Ne是种群遗传学和保护生物学中的一个重要参数。然而，在许多野生物种中，很难从人口统计数据直接估计Ne。另一方面，近年来遗传数据的使用也受到了极大的关注。在本研究中，我提出了一种新的方法，估计有效数量的育种者Neb从采样后代之间的等位基因共享（分子共祖）的参数。新估计的偏差和置信区间进行了比较，从公布的方法，即杂合子过剩的方法，使用计算机模拟。模拟了两种群体模型：由非近交和非亲缘亲本组成的非近交群体和由近交和亲缘亲本组成的近交群体。这两种方法基本上是无偏估计的Neb时，适用于非近交群体。在近交群体中，所提出的方法给出了一个向下偏估计，但置信区间显着缩小，与非近交群体相比。在近交群体中，杂合子过量法的估计值几乎是无偏的，但置信区间较大。通过将两种方法的估计值作为调和平均结合起来，可靠性得到了显著提高。
The effective population size, Ne, is an important parameter in population genetics and conservation biology. It is, however, difficult to directly estimate Ne from demographic data in many wild species. Alternatively, the use of genetic data has received much attention in recent years. In the present study, I propose a new method for estimating the effective number of breeders Neb from a parameter of allele sharing (molecular coancestry) among sampled progeny. The bias and confidence interval of the new estimator are compared with those from a published method, i.e. the heterozygote-excess method, using computer simulation. Two population models are simulated; the noninbred population that consists of noninbred and nonrelated parents and the inbred population that is composed of inbred and related parents. Both methods give essentially unbiased estimates of Neb when applied to the noninbred population. In the inbred population, the proposed method gives a downward biased estimate, but the confidence interval is remarkably narrowed compared with that in the noninbred population. Estimate from the heterozygote-excess method is nearly unbiased in the inbred population, but suffers from a larger confidence interval. By combining the estimates from the two methods as a harmonic mean, the reliability is remarkably improved.
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影响因子：
4.9
作者：
Fernández, J;Toro, MA
通讯作者：
Toro, MA
影响因子：
2.2
作者：
Toro, M;Barragán, C;Silió, L
通讯作者：
Silió, L
DOI：
10.2307/1400594
发表时间：
1999-06-01
影响因子：
1.4
作者：
Almudevar, A;Field, C
通讯作者：
Field, C
影响因子：
3.3
作者：
Wang, JL
通讯作者：
Wang, JL
影响因子：
1.5
作者：
Ritland, K
通讯作者：
Ritland, K