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

Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Aug 2014

Zhou L, Lund M S, Wang Y, Su G

Abstract excerpt

This study investigated genomic predictions across Nordic Holstein and Nordic Red using various genomic relationship matrices. Different sources of information, such as consistencies of linkage disequilibrium (LD) phase and marker effects, were used to construct the genomic relationship matrices (G-matrices) across these two breeds. Single-trait genomic best linear unbiased prediction (GBLUP) model and two-trait...

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

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

Share to Genetic Markers

Share to Genome

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Models, Statistical

Share to Species Specificity

Source

Identifiers

PMID: 24750283
DOI: 10.1111/jbg.12089

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.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices.PMID 24750283Read ↗

Optimizing genomic prediction for Australian Red dairy cattle.Semantic proximity Read ↗

Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles.Semantic proximity Read ↗

Genomic predictions based on a joint reference population for the Nordic Red cattle breeds.Semantic proximity Read ↗

Consistency of linkage disequilibrium between Chinese and Nordic Holsteins and genomic prediction for Chinese Holsteins using a joint reference population.Semantic proximity Read ↗

Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models.Semantic proximity Read ↗

Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population.Semantic proximity Read ↗

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.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 ↗

Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.Semantic proximity Read ↗

Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population.Semantic proximity Read ↗

Empirical and deterministic accuracies of across-population genomic prediction.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 ↗

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