Pages that link to "Q47360540"

The following pages link to Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations (Q47360540):

Displaying 41 items.

• Fine mapping QTL for female fertility on BTA04 and BTA13 in dairy cattle using HD SNP and sequence data (Q28655614) (← links)
• Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle (Q28656057) (← links)
• The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data (Q30853607) (← links)
• Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle (Q30994216) (← links)
• Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids (Q32174604) (← links)
• Fixed-length haplotypes can improve genomic prediction accuracy in an admixed dairy cattle population (Q33864153) (← links)
• Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers (Q34063300) (← links)
• Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens (Q34362964) (← links)
• Genomic selection for the improvement of antibody response to Newcastle disease and avian influenza virus in chickens (Q35425819) (← links)
• Genome-wide estimates of coancestry, inbreeding and effective population size in the Spanish Holstein population (Q35447797) (← links)
• Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population (Q35533720) (← links)
• A computationally efficient algorithm for genomic prediction using a Bayesian model (Q35555858) (← links)
• Sharing reference data and including cows in the reference population improve genomic predictions in Danish Jersey (Q35761758) (← links)
• Partitioning of genomic variance reveals biological pathways associated with udder health and milk production traits in dairy cattle. (Q35844763) (← links)
• Selection of haplotype variables from a high-density marker map for genomic prediction (Q35908149) (← links)
• Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes (Q36252973) (← links)
• Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle (Q36398239) (← links)
• High-density marker imputation accuracy in sixteen French cattle breeds (Q37355626) (← links)
• Evaluation of measures of correctness of genotype imputation in the context of genomic prediction: a review of livestock applications (Q38232111) (← links)
• Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels (Q38558124) (← links)
• Accuracy of genomic predictions in Bos indicus (Nellore) cattle (Q39243634) (← links)
• Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes (Q39803600) (← links)
• Effect of cow reference group on validation reliability of genomic evaluation (Q39852971) (← links)
• Impact of relationships between test and training animals and among training animals on reliability of genomic prediction (Q40902666) (← links)
• Imputation of high-density genotypes in the Fleckvieh cattle population (Q41071347) (← links)
• The impact of training strategies on the accuracy of genomic predictors in United States Red Angus cattle (Q46321483) (← links)
• Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers. (Q46876749) (← links)
• Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship (Q47267723) (← links)
• Increasing imputation and prediction accuracy for Chinese Holsteins using joint Chinese-Nordic reference population (Q51510896) (← links)
• A nested mixture model for genomic prediction using whole-genome SNP genotypes. (Q52644947) (← links)
• Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants. (Q54966725) (← links)
• Opportunities for genomic selection in American mink: A simulation study (Q64095061) (← links)
• Increasing accuracy of genomic selection in presence of high density marker panels through the prioritization of relevant polymorphisms (Q64109510) (← links)
• Linkage disequilibrium levels and allele frequency distribution in Blanco Orejinegro and Romosinuano Creole cattle using medium density SNP chip data. (Q64997631) (← links)
• Accuracies of genomic prediction for twenty economically important traits in Chinese Simmental beef cattle (Q90010790) (← links)
• Genomic predictions in purebreds with a multibreed genomic relationship matrix1 (Q90190874) (← links)
• High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers (Q90345531) (← links)
• Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome (Q90884864) (← links)
• Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data (Q91666409) (← links)
• Fast parallelized sampling of Bayesian regression models for whole-genome prediction (Q91949098) (← links)
• Imputation for sequencing variants preselected to a customized low-density chip (Q96348670) (← links)