1<p>0%, 33%, and 66% of the training set in scenario S1, S2, and S3, respectively, and all bulls in the validation set were genotyped on the low density panel.</p
This study investigated the accuracy of imputation from LD (7K) to 54K panel and compared accuracy o...
Background: The use of information across populations is an attractive approach to increase the accu...
Background: The use of information across populations is an attractive approach to increase the accu...
<div><p>The aim of this study was to evaluate the impact of genotype imputation on the performance o...
The aim of this study was to evaluate the impact of genotype imputation on the performance of the GB...
1<p>The reference population sizes used for imputation were n = 7,077, n = 4,741 and n = 2,406 for s...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
Not AvailableWe evaluated the performances of three BLUP and five Bayesian methods for genomic predi...
There is an increasing interest in using whole-genome sequence data in genomic selection breeding pr...
Aim of study: To predict genomic accuracy of binary traits considering different rates of disease in...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
AbstractThe objective of this study was to investigate in detail the biasing effects of imputation e...
<p>Accuracy of GBV when adding 100 individuals (<i>N</i> = 100) <b>(A)</b> or 500 individuals (<i>N<...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
This study investigated the accuracy of imputation from LD (7K) to 54K panel and compared accuracy o...
Background: The use of information across populations is an attractive approach to increase the accu...
Background: The use of information across populations is an attractive approach to increase the accu...
<div><p>The aim of this study was to evaluate the impact of genotype imputation on the performance o...
The aim of this study was to evaluate the impact of genotype imputation on the performance of the GB...
1<p>The reference population sizes used for imputation were n = 7,077, n = 4,741 and n = 2,406 for s...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
Not AvailableWe evaluated the performances of three BLUP and five Bayesian methods for genomic predi...
There is an increasing interest in using whole-genome sequence data in genomic selection breeding pr...
Aim of study: To predict genomic accuracy of binary traits considering different rates of disease in...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
AbstractThe objective of this study was to investigate in detail the biasing effects of imputation e...
<p>Accuracy of GBV when adding 100 individuals (<i>N</i> = 100) <b>(A)</b> or 500 individuals (<i>N<...
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of th...
This study investigated the accuracy of imputation from LD (7K) to 54K panel and compared accuracy o...
Background: The use of information across populations is an attractive approach to increase the accu...
Background: The use of information across populations is an attractive approach to increase the accu...