A Fast EM Algorithm for BayesA-Like Prediction of Genomic Breeding Values
نویسندگان
چکیده
منابع مشابه
A Fast EM Algorithm for BayesA-Like Prediction of Genomic Breeding Values
Prediction accuracies of estimated breeding values for economically important traits are expected to benefit from genomic information. Single nucleotide polymorphism (SNP) panels used in genomic prediction are increasing in density, but the Markov Chain Monte Carlo (MCMC) estimation of SNP effects can be quite time consuming or slow to converge when a large number of SNPs are fitted simultaneou...
متن کاملGenomic-assisted prediction of breeding values: Indications of its effectiveness
A massive quantity of genomic information is now available in livestock. For example, 2.8 million single-nucleotide polymorphisms (SNPs) have been found in the chicken genome. It is natural to consider use of this information as an aid in genetic improvement of livestock or plants. In medicine and agriculture, for example, genomic information could also be used for designing, e.g., diet or plan...
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 کاملA two step Bayesian approach for genomic prediction of breeding values
BACKGROUND In genomic models that assign an individual variance to each marker, the contribution of one marker to the posterior distribution of the marker variance is only one degree of freedom (df), which introduces many variance parameters with only little information per variance parameter. A better alternative could be to form clusters of markers with similar effects where markers in a clus...
متن کاملGenomic Selection GENOMIC SELECTION USING A FAST EM ALGORITHM 2. ANALYSIS OF SIMULATED DATA
The paper reports on a fast EM algorithm for genomic selection by mapping QTL in genomewide dense SNP marker data. The algorithm called emBayesB was used to analyse a 6000 SNP dataset simulated for the QTLMAS XII workshop. True breeding value was accurately predicted by GEBV with a correlation of 0.85 in the validation data, while the regression coefficient of 0.97 indicated unbiased prediction...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2012
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0049157