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The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight

In beef cattle maternally influenced traits, estimates of direct-maternal genetic correlations (r(dm)) are usually reported to be negative. In international evaluations, r(dm) can differ both within countries (r(dm_WC)) and between countries (r(dm_BC)). The r(dm_BC) are difficult to estimate and are...

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Autores principales: Bonifazi, Renzo, Vandenplas, Jérémie, ten Napel, Jan, Veerkamp, Roel F, Calus, Mario P L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442942/
https://www.ncbi.nlm.nih.gov/pubmed/34333640
http://dx.doi.org/10.1093/jas/skab222
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author Bonifazi, Renzo
Vandenplas, Jérémie
ten Napel, Jan
Veerkamp, Roel F
Calus, Mario P L
author_facet Bonifazi, Renzo
Vandenplas, Jérémie
ten Napel, Jan
Veerkamp, Roel F
Calus, Mario P L
author_sort Bonifazi, Renzo
collection PubMed
description In beef cattle maternally influenced traits, estimates of direct-maternal genetic correlations (r(dm)) are usually reported to be negative. In international evaluations, r(dm) can differ both within countries (r(dm_WC)) and between countries (r(dm_BC)). The r(dm_BC) are difficult to estimate and are assumed to be zero in the current model for international beef cattle evaluations (Interbeef). Our objective was to investigate re-ranking of international estimated breeding values (IEBVs) in international beef cattle evaluations between models that either used estimated values for r(dm) or assumed them to be 0. Age-adjusted weaning weights and pedigree data were available for Limousin beef cattle from ten European countries. International EBVs were obtained using a multi-trait animal model with countries modeled as different traits. We compared IEBVs from a model that uses estimated r(dm_BC) (ranging between −0.14 and +0.14) and r(dm_WC) (between −0.33 and +0.40) with IEBVs obtained either from the current model that assumes r(dm_BC) to be 0, or from an alternative model that assumes both r(dm_BC) and r(dm_WC) to be 0. Direct and maternal IEBVs were compared across those three scenarios for different groups of animals. The ratio of population accuracies from the linear regression method was used to further investigate the impact of r(dm) on international evaluations, for both the whole set of animals in the evaluation and the domestic ones. Ignoring r(dm_BC), i.e., replacing estimated values with 0, resulted in no (rank correlations > 0.99) or limited (between 0.98 and 0.99) re-ranking for direct and maternal IEBVs, respectively. Both r(dm_BC) and r(dm_WC) had less impact on direct IEBVs than on maternal IEBVs. Re-ranking of maternal IEBVs decreased with increasing reliability. Ignoring r(dm_BC) resulted in no re-ranking for sires with IEBVs that might be exchanged across countries and limited re-ranking for the top 100 sires. Using estimated r(dm_BC) values instead of considering them to be 0 resulted in null to limited increases in population accuracy. Ignoring both r(dm_BC) and r(dm_WC) resulted in considerable re-ranking of animals’ IEBVs in all groups of animals evaluated. This study showed the limited impact of the current practice of ignoring r(dm_BC) in international evaluations for Limousin weaning weight, most likely because the estimated r(dm_BC) was close to 0. We expect that these conclusions can be extended to other traits that have reported r(dm) values in the range of r(dm_WC) values for weaning weight in Limousin.
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spelling pubmed-84429422021-09-16 The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight Bonifazi, Renzo Vandenplas, Jérémie ten Napel, Jan Veerkamp, Roel F Calus, Mario P L J Anim Sci Animal Genetics and Genomics In beef cattle maternally influenced traits, estimates of direct-maternal genetic correlations (r(dm)) are usually reported to be negative. In international evaluations, r(dm) can differ both within countries (r(dm_WC)) and between countries (r(dm_BC)). The r(dm_BC) are difficult to estimate and are assumed to be zero in the current model for international beef cattle evaluations (Interbeef). Our objective was to investigate re-ranking of international estimated breeding values (IEBVs) in international beef cattle evaluations between models that either used estimated values for r(dm) or assumed them to be 0. Age-adjusted weaning weights and pedigree data were available for Limousin beef cattle from ten European countries. International EBVs were obtained using a multi-trait animal model with countries modeled as different traits. We compared IEBVs from a model that uses estimated r(dm_BC) (ranging between −0.14 and +0.14) and r(dm_WC) (between −0.33 and +0.40) with IEBVs obtained either from the current model that assumes r(dm_BC) to be 0, or from an alternative model that assumes both r(dm_BC) and r(dm_WC) to be 0. Direct and maternal IEBVs were compared across those three scenarios for different groups of animals. The ratio of population accuracies from the linear regression method was used to further investigate the impact of r(dm) on international evaluations, for both the whole set of animals in the evaluation and the domestic ones. Ignoring r(dm_BC), i.e., replacing estimated values with 0, resulted in no (rank correlations > 0.99) or limited (between 0.98 and 0.99) re-ranking for direct and maternal IEBVs, respectively. Both r(dm_BC) and r(dm_WC) had less impact on direct IEBVs than on maternal IEBVs. Re-ranking of maternal IEBVs decreased with increasing reliability. Ignoring r(dm_BC) resulted in no re-ranking for sires with IEBVs that might be exchanged across countries and limited re-ranking for the top 100 sires. Using estimated r(dm_BC) values instead of considering them to be 0 resulted in null to limited increases in population accuracy. Ignoring both r(dm_BC) and r(dm_WC) resulted in considerable re-ranking of animals’ IEBVs in all groups of animals evaluated. This study showed the limited impact of the current practice of ignoring r(dm_BC) in international evaluations for Limousin weaning weight, most likely because the estimated r(dm_BC) was close to 0. We expect that these conclusions can be extended to other traits that have reported r(dm) values in the range of r(dm_WC) values for weaning weight in Limousin. Oxford University Press 2021-08-01 /pmc/articles/PMC8442942/ /pubmed/34333640 http://dx.doi.org/10.1093/jas/skab222 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Animal Genetics and Genomics
Bonifazi, Renzo
Vandenplas, Jérémie
ten Napel, Jan
Veerkamp, Roel F
Calus, Mario P L
The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title_full The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title_fullStr The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title_full_unstemmed The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title_short The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight
title_sort impact of direct-maternal genetic correlations on international beef cattle evaluations for limousin weaning weight
topic Animal Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442942/
https://www.ncbi.nlm.nih.gov/pubmed/34333640
http://dx.doi.org/10.1093/jas/skab222
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