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

Combining large broiler populations into a single genomic evaluation: dealing with genetic divergence.

Journal of animal science - 3 Jan 2024

Tabet Joe-Menwer, Bussiman Fernando, Breen Vivian, Misztal Ignacy, Lourenco Daniela

Abstract excerpt

Combining breeding populations that have diverged at some point is a conventional practice, particularly in the poultry industry, where generation intervals are short and genetic evaluations should be frequently available. This study aimed to assess the feasibility of combining large, distantly genetically connected broiler populations into a single genomic evaluation within the single-step GBLUP framework. The...

Topics

Join the communities discussing this publication.

Body Weight
Breeding
Chickens
Genetic Variation
Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Models, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 39582386
DOI: 10.1093/jas/skae360
PMCID: PMC11641423

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining large broiler populations into a single genomic evaluation: dealing with genetic divergence.PMID 39582386Read ↗

Modeling genetic differences of combined broiler chicken populations in single-step GBLUP.Semantic proximity Read ↗

Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure.Semantic proximity Read ↗

Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens.Semantic proximity Read ↗

Experiences with a single-step genome evaluation.Semantic proximity Read ↗

Accuracy of genomic prediction when combining two related crossbred populations.Semantic proximity Read ↗

Derivation of indirect predictions using genomic recursions across generations in a broiler population.Semantic proximity Read ↗

Animal board invited review: The purebred-crossbred genetic correlation in poultry.Semantic proximity Read ↗

Efficient ways to combine data from broiler and layer chickens to account for sequential genomic selection.Semantic proximity Read ↗

Investigating the persistence of accuracy of genomic predictions over time in broilers.Semantic proximity Read ↗

Sparse single-step genomic BLUP in crossbreeding schemes.Semantic proximity Read ↗

Genomic prediction based on data from three layer lines using non-linear regression models.Semantic proximity Read ↗

National single-step genomic method that integrates multi-national genomic information.Semantic proximity Read ↗

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