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Ignacy Misztal et al.
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A. A. Kudinov et al.
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Controlling bias in genomic breeding values for young genotyped bulls
S. Tsuruta et al.
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Efficient and accurate computation of base generation allele frequencies
M. N. Aldridge et al.
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Modeling missing pedigree in single-step genomic BLUP
H. L. Bradford et al.
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Level-biases in estimated breeding values due to the use of different SNP panels over time in ssGBLUP
Oyvind Nordbo et al.
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Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
Andres Legarra et al.
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Jeff Bezanson et al.
SIAM REVIEW (2017)
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Wan-Ling . Hsu et al.
G3-GENES GENOMES GENETICS (2017)
Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals
Rohan L. Fernando et al.
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A new approach for efficient genotype imputation using information from relatives
Mehdi Sargolzaei et al.
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S. Tsuruta et al.
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A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses
Rohan L. Fernando et al.
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Unknown-parent groups in single-step genomic evaluation
I. Misztal et al.
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Compatibility of pedigree-based and marker-based relationship matrices for single-step genetic evaluation
Ole F. Christensen
GENETICS SELECTION EVOLUTION (2012)
Bias in genomic predictions for populations under selection
Z. G. Vitezica et al.
GENETICS RESEARCH (2011)
The unified approach to the use of genomic and pedigree information in genomic evaluations revisited
T. H. E. Meuwissen et al.
JOURNAL OF ANIMAL BREEDING AND GENETICS (2011)
Effect of different genomic relationship matrices on accuracy and scale
C. Y. Chen et al.
JOURNAL OF ANIMAL SCIENCE (2011)
Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score
I. Aguilar et al.
JOURNAL OF DAIRY SCIENCE (2010)
Reconciling the analysis of IBD and IBS in complex trait studies
Joseph E. Powell et al.
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Genomic prediction when some animals are not genotyped
Ole F. Christensen et al.
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Efficient Methods to Compute Genomic Predictions
P. M. VanRaden
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N. Gengler et al.
ANIMAL (2007)