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

Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips.

Journal of dairy science - 1 Sept 2012

Segelke D, Chen J, Liu Z, Reinhardt F, Thaller G, Reents R

Abstract excerpt

With the availability of single nucleotide polymorphism (SNP) marker chips, such as the Illumina BovineSNP50 BeadChip (50K), genomic evaluation has been routinely implemented in dairy cattle breeding. However, for an average dairy producer, total costs associated with the 50K chip are still too high to have all the cows genotyped and genomically evaluated. To study the accuracy of cheaper low-density chips,...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Cattle
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Share to Reproducibility of Results

Source

Identifiers

PMID: 22916947
DOI: 10.3168/jds.2012-5466

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips.PMID 22916947Read ↗

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

Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle.Semantic proximity Read ↗

Reliability of genomic evaluations in Holstein-Friesians using haplotypes based on the BovineHD BeadChip.Semantic proximity Read ↗

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.Semantic proximity Read ↗

Genomic imputation and evaluation using high-density Holstein genotypes.Semantic proximity Read ↗

Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.Semantic proximity Read ↗

Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle.Semantic proximity Read ↗

Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers.Semantic proximity Read ↗

Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle.Semantic proximity Read ↗

Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction.Semantic proximity Read ↗

Short communication: Imputation performances of 3 low-density marker panels in beef and dairy cattle.Semantic proximity Read ↗

Assets of imputation to ultra-high density for productive and functional traits.Semantic proximity Read ↗

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