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

Data subsetting strategies for estimation of across-country genetic correlations.

Journal of dairy science - 1 Mar 2005

Jorjani H, Emanuelson U, Fikse W F

Abstract excerpt

International genetic evaluation of dairy cattle requires estimation of genetic correlations among populations to account for genotype-environment interaction. Simultaneous estimation of across-country genetic correlations among all populations of a widespread breed, such as the Holstein breed is, however, hampered by connectedness problems and computational challenges. The purpose of this study was to examine...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Breeding
Share to Cattle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to International Cooperation

Share to Models, Genetic

Share to Population Density

Source

Identifiers

PMID: 15738255
DOI: 10.3168/jds.S0022-0302(05)72788-0

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Data subsetting strategies for estimation of across-country genetic correlations.PMID 15738255Read ↗

Impact of sub-setting the data of the main Limousin beef cattle population on the estimates of across-country genetic correlations.Semantic proximity Read ↗

Across-countries genomic prediction using national breeding values or multitrait across-countries evaluation breeding values.Semantic proximity Read ↗

International genomic evaluation methods for dairy cattle.Semantic proximity Read ↗

Across-country genomic prediction of bull fertility in Jersey dairy cattle.Semantic proximity Read ↗

Invited review: A quarter of a century-International genetic evaluation of dairy sires using MACE methodology.Semantic proximity Read ↗

Comparison of performance records and national breeding values as input into international genetic evaluation.Semantic proximity Read ↗

Short communication: Improving accuracy of Jersey genomic evaluations in the United States and Denmark by sharing reference population bulls.Semantic proximity Read ↗

Pooled genotyping strategies for the rapid construction of genomic reference populations1.Semantic proximity Read ↗

Validation of consistency of Mendelian sampling variance.Semantic proximity Read ↗

A common reference population from four European Holstein populations increases reliability of genomic predictions.Semantic proximity Read ↗

Validation of an approximate REML algorithm for parameter estimation in a multitrait, multiple across-country evaluation model: a simulation study.Semantic proximity Read ↗

Weighting factors of sire daughter information in international genetic evaluations.Semantic proximity Read ↗

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