Genomic selection

被引:46
作者
Fernando, R. L. [1 ,2 ]
Habier, D. [1 ]
Stricker, C. [3 ]
Dekkers, J. C. M. [1 ]
Totir, L. R. [4 ]
机构
[1] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
[2] Iowa State Univ, Ctr Intergrated Anim Gen, Ames, IA 50011 USA
[3] Appl Genet Network, Davos, Switzerland
[4] Pioneer HiBred Int Inc, DuPont Business, Johnston, IA USA
来源
ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE | 2007年 / 57卷 / 04期
关键词
Bayesian inference; BLUP; computer simulation; genetic evaluation; marker-assisted selection;
D O I
10.1080/09064700801959395
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Computer simulation was used to examine the relationship between the number of loci included in the model and the accuracy of whole-genome methods for genetic evaluation. Random-regression BLUP (RR-BLUP) and Bayesian inference (Bayes-B) were compared with BLUP based on trait phenotypes and pedigree (TP-BLUP), where the genomic information consisted of genotypes at 110 or 2010 unlinked SNP loci. Of these loci, 10 were the actual trait loci. Accuracies for RR-BLUP were much higher than for TP-BLUP with 110 loci, but they were closer to TP-BLUP with 20 10 loci. Accuracies with Bayes-B were close to 1 with 110 or with 2010 loci. Results for Bayes-B were also examined with a range of 3000 to 60 000 markers in linkage disequilibrium on 30 chromosomes. Increasing the number of markers did not lower the accuracy of Bayes-B. Thus, Bayes-B seems to be well suited for whole-genome analyses with large numbers of loci. This may not be the case for RR-BLUP.
引用
收藏
页码:192 / 195
页数:4
相关论文
共 7 条
[1]  
Fernando, 1998, P 6 WORLD C GEN APPL, P329
[2]   Genomic-assisted prediction of genetic value with semiparametric procedures [J].
Gianola, Daniel ;
Fernando, Rohan L. ;
Stella, Alessandra .
GENETICS, 2006, 173 (03) :1761-1776
[3]  
GODDARD ME, 1998, P 6 WORLD C GEN APPL, V26, P33
[4]  
LANDE R, 1990, GENETICS, V124, P743
[5]  
Meuwissen THE, 2001, GENETICS, V157, P1819
[6]  
Xu SZ, 2003, GENETICS, V163, P789
[7]  
Yi NJ, 2003, GENETICS, V165, P867