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Using Bayesian multilevel whole-genome regression models for partial pooling of estimation sets in genomic prediction

bioRxiv

Dec 19, 2014

Frank Technow, Liviu R Totir

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Abstract

Estimation set size is an important determinant of genomic prediction accuracy. Plant breeding programs are characterized by a high degree of structuring, particularly into populations. This hampers establishment of large estimation sets for each population. Pooling populations increase...read more

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Regression Analysis
Simulation
Population Group
Genome
EAF2 gene
Size
Breeding
Analysis
Hereditary Diseases
Genomics
5
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  • Using Bayesian multilevel whole-genome regression models for partial pooling of estimation sets in genomic prediction

    bioRxiv

    Dec 19, 2014

    Frank Technow, Liviu R Totir

    PMID: 990012971

    DOI: 10.1101/012971

    Abstract

    Estimation set size is an important determinant of genomic prediction accuracy. Plant breeding programs are characterized by a high degree of structuring, particularly into populations. This hampers establishment of large estimation sets for each population. Pooling populations increase...read more

    Mentioned in this Paper

    Regression Analysis
    Simulation
    Population Group
    Genome
    EAF2 gene
    5

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