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

The prediction accuracies of linear-type traits in Czech Holstein cattle when using ssGBLUP or wssGBLUP.

Journal of animal science - 1 Dec 2022

Brzáková Michaela, Bauer Jiří, Steyn Yvette, Šplíchal Jiří, Fulínová Daniela

Abstract excerpt

The aim of this study was to assess the contribution of the weighted single-step genomic best linear unbiased prediction (wssGBLUP) method compared to the single-step genomic best linear unbiased prediction (ssGBLUP) method for genomic evaluation of 25 linear-type traits in the Czech Holstein cattle population. The nationwide database of linear-type traits with 6,99,681 records combined with deregressed proofs...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Czech Republic
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Genetic

Share to Phenotype

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 36334266
DOI: 10.1093/jas/skac369
PMCID: PMC9746800

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The prediction accuracies of linear-type traits in Czech Holstein cattle when using ssGBLUP or wssGBLUP.PMID 36334266Read ↗

Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.Semantic proximity Read ↗

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90.Semantic proximity Read ↗

Marker effect p-values for single-step SNP-BLUP genomic modelsSemantic proximity Read ↗

Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor.Semantic proximity Read ↗

Improving genetic evaluation of litter size and piglet mortality for both genotyped and nongenotyped individuals using a single-step method.Semantic proximity Read ↗

Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population.Semantic proximity Read ↗

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.Semantic proximity Read ↗

Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits.Semantic proximity Read ↗

Genomic evaluation of Brown Swiss dairy cattle with limited national genotype data and integrated external information.Semantic proximity Read ↗

Factors affecting GEBV accuracy with single-step Bayesian models.Semantic proximity Read ↗

International single-step SNPBLUP beef cattle evaluations for Limousin weaning weight.Semantic proximity Read ↗

Improving Breeding Value Reliability with Genomic Data in Breeding Groups of Charolais.Semantic proximity Read ↗

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