Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Accuracy of estimation of genomic breeding values in pigs using low-density genotypes and imputation.

G3 (Bethesda, Md.) - 16 Apr 2014

Badke Yvonne M, Bates Ronald O, Ernst Catherine W, Fix Justin, Steibel Juan P

Abstract excerpt

Genomic selection has the potential to increase genetic progress. Genotype imputation of high-density single-nucleotide polymorphism (SNP) genotypes can improve the cost efficiency of genomic breeding value (GEBV) prediction for pig breeding. Consequently, the objectives of this work were to: (1) estimate accuracy of genomic evaluation and GEBV for three traits in a Yorkshire population and (2) quantify the loss...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Breeding
Share to Genome
Share to Genomics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genotype

Share to Haplotypes

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 24531728
DOI: 10.1534/g3.114.010504
PMCID: PMC4059235

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accuracy of estimation of genomic breeding values in pigs using low-density genotypes and imputation.PMID 24531728Read ↗

Genotype imputation from various low-density SNP panels and its impact on accuracy of genomic breeding values in pigs.Semantic proximity Read ↗

Practical implementation of cost-effective genomic selection in commercial pig breeding using imputation.Semantic proximity Read ↗

Genomic selection using low density marker panels with application to a sire line in pigs.Semantic proximity Read ↗

Methods of tagSNP selection and other variables affecting imputation accuracy in swine.Semantic proximity Read ↗

Imputation of genotypes in Danish purebred and two-way crossbred pigs using low-density panels.Semantic proximity Read ↗

Empirical comparison between different methods for genomic prediction of number of piglets born alive in moderate sized breeding populations.Semantic proximity Read ↗

Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals.Semantic proximity Read ↗

Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations.Semantic proximity Read ↗

Multi-generational imputation of single nucleotide polymorphism marker genotypes and accuracy of genomic selection.Semantic proximity Read ↗

Improving accuracy of genomic prediction in Brangus cattle by adding animals with imputed low-density SNP genotypes.Semantic proximity Read ↗

Determining the stability of accuracy of genomic estimated breeding values in future generations in commercial pig populations.Semantic proximity Read ↗

Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.