亲缘关系,分子标记,个体相关度,蒙特卡罗模拟," /> 亲缘关系,分子标记,个体相关度,蒙特卡罗模拟,"/> pedigree relationship,molecular marker,pairwise relatedness,monte carlo simulation
,"/> <font face="Verdana">Estimation of Pairwise Relationship Using Molecular Marker#br# </font>

Scientia Agricultura Sinica ›› 2009, Vol. 42 ›› Issue (7): 2531-2538 .doi: 10.3864/j.issn.0578-1752.2009.07.034

• ANIMAL SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

Estimation of Pairwise Relationship Using Molecular Marker#br#

LIU Gui-yang, SUN Xiao-yan, LIU Gui-qiong, CHEN Feng-jian, JIANG Xun-ping#br#   

  1. (华中农业大学动物科技学院)
  • Received:2009-04-01 Revised:2009-04-07 Online:2009-07-10 Published:2009-07-10
  • Contact: JIANG Xun-ping

Abstract:

【Objective】 Using molecular marker to rebuild the relationship to make effective mating plans and estimate the genetic parameters. 【Method】 The research proposed a novel model (Liu Model) for estimating pairwise relationship from randomly mating population with genetic markers, comparing the four alleles from two loci in two individuals. In order to evaluate Liu model, the research also set up Monte Carlo which can simulate the ideal population of four actual relationships. 【Result】 The result indicates that Liu model is well behaved, and comparing with the previous, the new one also has stable property and is generally much more advantageous than the others. 【Conclusion】 Totally, a novel estimation of pairwise relationship using molecular marker was proposed, and comparing with the previous, Liu model is the best one of all.

Key words: pedigree relationship')">pedigree relationship, molecular marker, pairwise relatedness, monte carlo simulation

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