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

Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle.

Genes - 6 Dec 2019

Lopez Bryan Irvine, Lee Seung-Hwan, Park Jong-Eun, Shin Dong-Hyun, Oh Jae-Don, de Las Heras-Saldana Sara, van der Werf Julius, Chai Han-Ha, Park Woncheoul, Lim Dajeong

Abstract excerpt

The genomic best linear unbiased prediction (GBLUP) method has been widely used in routine genomic evaluation as it assumes a common variance for all single nucleotide polymorphism (SNP). However, this is unlikely in the case of traits influenced by major SNP. Hence, the present study aimed to improve the accuracy of GBLUP by using the weighted GBLUP (WGBLUP), which gives more weight to important markers for...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Genetic

Share to Pedigree

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait, Heritable

Source

Open in PubMed Open full text

Identifiers

PMID: 31817753
DOI: 10.3390/genes10121019
PMCID: PMC6947347

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

Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle.PMID 31817753Read ↗

Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Semantic proximity Read ↗

Genomic Prediction Using Alternative Strategies of Weighted Single-Step Genomic BLUP for Yearling Weight and Carcass Traits in Hanwoo Beef Cattle.Semantic proximity Read ↗

Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle.Semantic proximity Read ↗

Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle.Semantic proximity Read ↗

Evaluation of Genome-Enabled Prediction for Carcass Primal Cut Yields Using Single-Step Genomic Best Linear Unbiased Prediction in Hanwoo Cattle.Semantic proximity Read ↗

Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture.Semantic proximity Read ↗

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

Assessment of genomic breeding values and their accuracies for carcass traits in Jeju Black cattle using whole-genome SNP chip panels.Semantic proximity Read ↗

Estimation of breeding value and accuracy using pedigree and genotype of Hanwoo cows (Korean cattle).Semantic proximity Read ↗

Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle.Semantic proximity Read ↗

Genomic Prediction of Meat Tenderness in Nellore Cattle: Multi-Trait and Weighted Single-Step Genomic Best Linear Unbiased Prediction Approaches.Semantic proximity Read ↗

Evaluation of non-additive genetic effects on carcass and meat quality traits in Korean Hanwoo cattle using genomic models.Semantic proximity Read ↗

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