...
首页> 外文期刊>Livestock Science >Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle
【24h】

Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle

机译:使用二元离散分布估算肉牛家庭规模的有效种群规模

获取原文
获取原文并翻译 | 示例

摘要

Pedigree records of 72,808 animals (45,668 females and 27,140 males) from the genetic evaluation program of the Argentine Brangus Association were used to estimate effective number of founders (Nf ), effective number of ancestors (Na ), and effective population size under random mating (Ne ) or selection (NeS ), in order to assess genetic variability. The average level of completeness of the pedigree was low (0.17) and the average level of inbreeding (F) calculated from the pedigree was equal to 0.24%. Animals in the reference population were 21,662 calves born from 2001 to 2005. The estimated measures of variability were Nf =765.7 and Na =387.5. The numbers of ancestors responsible for 100%, 50%, or 20% of the genes in the reference group, were equal to 12,471, 273, and 22, respectively. Direct estimates of Ne and NeS were calculated using the variances and covariances of family sizes, i.e. male and female progeny numbers for bulls and cows. Estimates of the dispersion parameters were from the Bivariate Poisson model for the cows, and from the Generalized Bivariate Negative Binomial (GBIVARNB) distribution for the bulls. The latter probability mass function accounted for overdispersion, a characteristic present in the sampling distribution of family size of bulls. The estimated variances of male and female progeny and the covariance between them for the bulls were 5.70, 271.28, and 30.15, respectively, and 1.15, 2.10, and 1.06 for the cows. Generation intervals (in years) were: sires of bulls=5.0, sires of cows=5.7, dams of bulls=4.4, and dams of cows=5.2. The estimated Ne was 274, which corresponds to a rate of inbreeding (F) of 0.18%, whereas NeS =125 and F =0.40%. As a check of the proposed methodology, all analyses were also performed using the pedigree records of 10,483 Angus animals from a herd with an average level of completeness of 0.68. Using the GBIVARNB model for both bulls and cows the estimated Ne =95.4, thus F =0.5% in perfect agreement with the calculated average inbreeding from pedigree records. Under selection, NeS =79.3 and F =0.6%. The larger difference between estimated Ne and NeS in the Brangus was related to the smaller bull to cow ratio in the breed. Therefore, it seems desirable to continue monitoring the effective size of the Argentine Brangus to prevent problems of inbreeding and lack of variability in the future.
机译:来自阿根廷布兰格斯协会遗传评估程序的72,808只动物的谱系记录(45,668头雌性和27,140头雄性)用于估计有效建立者数量(Nf),有效祖先数量(Na)和随机交配下的有效种群数量( Ne)或选择(NeS),以评估遗传变异性。该谱系的平均完整性水平较低(0.17),根据该谱系计算的近交平均水平(F)等于0.24%。参考种群中的动物为2001年至2005年出生的21662头牛。估计的变异性度量为Nf = 765.7和Na = 387.5。参比组中负责基因100%,50%或20%的祖先数分别等于12,471、273和22。 Ne和NeS的直接估计值是根据家庭规模的方差和协方差来计算的,即公牛和母牛的后代数量。散度参数的估计值来自牛的双变量泊松模型,以及牛的广义双变量负二项式(GBIVARNB)分布。后一种概率质量函数解释了过度分散,这是公牛家庭规模的抽样分布中的一个特征。雄性和雌性后代的估计方差以及它们之间的协方差分别为公牛5.70、271.28和30.15,而母牛则为1.15、2.10和1.06。世代间隔(以年为单位)为:公牛的公母= 5.0,母牛的公母= 5.7,公牛的母母= 4.4,母牛的母母= 5.2。估计的Ne为274,对应的近交率(F)为0.18%,而NeS = 125和F = 0.40%。作为对提出的方法的检查,所有分析均使用来自一群的10,483只安格斯动物的谱系记录进行,平均完整性为0.68。使用GBIVARNB模型对公牛和母牛进行估算,Ne = 95.4,因此F = 0.5%,与从系谱记录计算的平均近交完美吻合。在选择下,NeS = 79.3,F = 0.6%。 Brangus中估计的Ne和NeS之间的较大差异与该品种中较小的牛对牛比率有关。因此,似乎有必要继续监测阿根廷洋桔梗的有效大小,以防止近亲繁殖和缺乏变异性的问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号