On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness
The LR method demonstrated limitations in identifying biases induced by incomplete pedigrees, including scenarios with as much as 40% pedigree errors, or lack of connectedness, but it was effective in assessing dispersion, and population accuracies and reliabilities even in the challenging scenarios addressed.
Authors
- Andrés Legarra (ORCID: https://orcid.org/0000-0001-8893-7620)
- Zulma G. Vitezica (ORCID: https://orcid.org/0000-0002-3162-7258)
- Sebastián Munilla (ORCID: https://orcid.org/0000-0003-2666-2566)
- Natalia Soledad Forneris (ORCID: https://orcid.org/0000-0002-4052-5333)
- D.O. Maizon (ORCID: https://orcid.org/0000-0002-2701-4109)
- Alan Maxs Pardo (ORCID: https://orcid.org/0000-0003-3385-3950)
Institutions
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- University of Georgia (US)
- National University of Mar del Plata (AR)
- Institut National Polytechnique de Toulouse (FR)
- Universidad de Buenos Aires (AR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Dairy Management (US)
- Instituto Nacional de Tecnologia (BR)
- National Agricultural Technology Institute (AR)
- Génétique Physiologie et Systèmes d'Elevage (FR)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1186/s12711-024-00943-1
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universidad de Buenos Aires
- Universidad Nacional del Centro de la Provincia de Buenos Aires
- Instituto Nacional de Tecnología Agropecuaria
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
- Secretaría de Ciencia y Técnica, Universidad de Buenos Aires