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

Hierarchical Bayes multiple-breed inference with an application to genetic evaluation of a Nelore-Hereford population.

Journal of animal science - 1 Jun 2004

Cardoso F F, Tempelman R J

Abstract excerpt

The primary objective of this study was to demonstrate the utility of a hierarchical Bayes implementation of a multiple-breed animal model (MBAM) to estimate breed composition means and additive genetic variances as well as on variances due to the segregation between breeds. The MBAM and a conventional animal model (AM) were both applied to five simulated data sets derived from each of two different populations....

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem
Share to Body Weight

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

Share to Breeding

Share to Cattle

Share to Crosses, Genetic

Share to Models, Biological

Share to Quantitative Trait, Heritable

Source

Identifiers

PMID: 15216984
DOI: 10.2527/2004.8261589x

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. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Hierarchical Bayes multiple-breed inference with an application to genetic evaluation of a Nelore-Hereford population.PMID 15216984Read ↗

Equivalence of multibreed animal models and hierarchical Bayes analysis for maternally influenced traits.Semantic proximity Read ↗

Variance and covariance components for weaning weight for Herefords in three countries.Semantic proximity Read ↗

Variance components and breeding values for growth traits from different statistical models.Semantic proximity Read ↗

Development of selection strategies for genetic improvement in production traits of Mecheri sheep based on a Bayesian multi trait evaluation.Semantic proximity Read ↗

Genetic parameters for growth traits of Australian beef cattle from a multibreed selection experiment.Semantic proximity Read ↗

Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle.Semantic proximity Read ↗

Genetic parameters for a maternal breeding goal in beef production.Semantic proximity Read ↗

Genomic prediction using different estimation methodology, blending and cross-validation techniques for growth traits and visual scores in Hereford and Braford cattle.Semantic proximity Read ↗

Genetic parameters for carcass and ultrasound traits in Hereford and admixed Simmental beef cattle: Accuracy of evaluating carcass traits.Semantic proximity Read ↗

Estimation of additive and nonadditive genetic variances in Hereford, Gelbvieh, and Charolais by Method R.Semantic proximity Read ↗

Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle.Semantic proximity Read ↗

Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information.Semantic proximity Read ↗

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