about
Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection.Benefits of Dominance over Additive Models for the Estimation of Average Effects in the Presence of Dominance.Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs.SNPrune: an efficient algorithm to prune large SNP array and sequence datasets based on high linkage disequilibrium.Genomic Prediction Using Individual-Level Data and Summary Statistics from Multiple PopulationsHuman-Mediated Introgression of Haplotypes in a Modern Dairy Cattle BreedPrediction of nutrient digestibility in grower-finisher pigs based on faecal microbiota compositionBreeding Top Genotypes and Accelerating Response to Recurrent Selection by Selecting Parents with Greater Gametic VarianceErratum to: Genomic prediction for crossbred performance using metafoundersThe Impact of Non-additive Effects on the Genetic Correlation Between PopulationsAssessment of sire contribution and breed-of-origin of alleles in a three-way crossbred broiler datasetVariance estimates are similar using pedigree or genomic relationships with or without the use of metafounders or the algorithm for proven and young animals1Genomic prediction for crossbred performance using metafounders
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description
researcher
@en
name
Mario P L Calus
@en
type
label
Mario P L Calus
@en
prefLabel
Mario P L Calus
@en
P31
P496
0000-0002-3213-704X