Comparative study of estimation methods for genomic breeding values
نویسندگان
چکیده
منابع مشابه
Effect of Markers Effect Estimation Methods, Population Structure and Trait Architercture on the Accuracy of Genomic Breeding Values
This study aimed to investigate the effect of the method of estimating the effects of markers , QTLs distribution, number of QTLs, effective population size and trait heritability on the accuracy of genomic predictions. Two effective population sizes, 100 and 500 individuals, were simulated by QMSim software. A 100 cM genome including one chromosome was simulated where 500 SNPs and two diffe...
متن کاملEstimation of genomic breeding values using the Horseshoe prior
BACKGROUND A method for estimating genomic breeding values (GEBV) based on the Horseshoe prior was introduced and used on the analysis of the 16(th) QTLMAS workshop dataset, which resembles three milk production traits. The method was compared with five commonly used methods: Bayes A, Bayes B, Bayes C, Bayesian Lasso and GLUP. METHODS The main difference between the methods is the prior distr...
متن کاملComparison of Single and Multi-Step Bayesian Methods for Predicting Genomic Breeding Values in Genotyped and Non-Genotyped Animals- A Simulation Study
The purpose of this study was to compare the accuracy of genomic evaluation for Bayes A, Bayes B, Bayes C and Bayes L multi-step methods and SSBR-C and SSBR-A single-step methods in the different values of π for predicting genomic breeding values of the genotyped and non-genotyped animals. A genome with 40000 SNPs on the 20 chromosom was simulated with the same distance (100cM). The π valu...
متن کاملDomestic estimated breeding values and genomic enhanced breeding values of bulls in comparison with their foreign genomic enhanced breeding values.
Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP) and by a one-step blending procedure. Info...
متن کاملPre-selection of most significant SNPS for the estimation of genomic breeding values
The availability of a large amount of SNP markers throughout the genome of different livestock species offers the opportunity to estimate genomic breeding values (GEBVs). However, the estimation of many effects in a data set of limited size represent a severe statistical problem. A pre-selection of SNPS based on single regression may provide a reasonable compromise between accuracy of results, ...
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ژورنال
عنوان ژورنال: Science Bulletin
سال: 2016
ISSN: 2095-9273
DOI: 10.1007/s11434-016-1014-1