Genetic evaluation of udder health traits in Spanish Holstein cows

The aims of this study were to estimate the genetic parameters of clinical mastitis (CM) and SCS traits, and to compare the performance of genetic evaluations of CM traits using univariate and bivariate analyses (CM-SCS). Data were edited according to the Udder Health Golden Standard harmonization,...

Descripción completa

Detalles Bibliográficos
Autores: Pérez Cabal, María De Los Ángeles, López Paredes, Javier, Cervantes Navarro, Isabel, Gutiérrez García, Juan Pablo, Charfeddine, Noureddine
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/111251
Acceso en línea:https://hdl.handle.net/20.500.14352/111251
Access Level:acceso abierto
Palabra clave:636.09
Clinical mastitis
Subclinical mastitis
Genetic parameters
Producción animal
3104 Producción Animal
id ES_eb7122cde9249c8b4ee7bd4de9d58f17
oai_identifier_str oai:docta.ucm.es:20.500.14352/111251
network_acronym_str ES
network_name_str España
repository_id_str
spelling Genetic evaluation of udder health traits in Spanish Holstein cowsPérez Cabal, María De Los ÁngelesLópez Paredes, JavierCervantes Navarro, IsabelGutiérrez García, Juan PabloCharfeddine, Noureddine636.09Clinical mastitisSubclinical mastitisGenetic parametersProducción animal3104 Producción AnimalThe aims of this study were to estimate the genetic parameters of clinical mastitis (CM) and SCS traits, and to compare the performance of genetic evaluations of CM traits using univariate and bivariate analyses (CM-SCS). Data were edited according to the Udder Health Golden Standard harmonization, and then 6 CM traits and 6 SCS traits were considered, as the result of combining 3 lactation classifications (1, 2, ≥3) and 2 milking periods (early, late). The linear mixed animal models included the ratio of period at risk as a covariate, herd-year of calving, month of calving, and lactation-age as fixed effects, and the permanent environmental effect for traits of ≥3 lactations. Prevalence of CM in early lactation was similar regardless the lactation number (5%–6%), and the estimated heritabilities were 0.01. Prevalences in late lactation ranged from 10% to 24% and heritabilities ranged from 0.03 to 0.05. Estimated heritabilities of SCS ranged from 0.06 to 0.16 with univariate analyses. Somatic cell count (therefore its log-transformation SCS) showed a higher probability of correctly identifying healthy cows than infected cows but there was still up to 36% of healthy cows for which CM was not detected by SCS. Genetic correlations between CM-SCS traits ranged from 0.36 to 0.95, and SCS in lactation 3 and later did not add extra information to SCS in the second lactation for predicting CM. Regarding reliabilities of EBVs for CM traits, bivariate CM-SCS analyses led to substantial increases with respect to the single-trait model for sires (7%–12% more in first lactation and 16%–28% more for second lactation). Sire's rank correlations for CM between univariate and bivariate analyses (0.47–0.92) suggest that discarding sires could be more accurate than selecting candidates for sires of dams. We can conclude that SCS in first lactation could be useful to supplement CM data in first and second lactations to improve udder health genetic evaluation.ElsevierUniversidad Complutense de Madrid20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/111251reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1112512026-06-02T12:44:21Z
dc.title.none.fl_str_mv Genetic evaluation of udder health traits in Spanish Holstein cows
title Genetic evaluation of udder health traits in Spanish Holstein cows
spellingShingle Genetic evaluation of udder health traits in Spanish Holstein cows
Pérez Cabal, María De Los Ángeles
636.09
Clinical mastitis
Subclinical mastitis
Genetic parameters
Producción animal
3104 Producción Animal
title_short Genetic evaluation of udder health traits in Spanish Holstein cows
title_full Genetic evaluation of udder health traits in Spanish Holstein cows
title_fullStr Genetic evaluation of udder health traits in Spanish Holstein cows
title_full_unstemmed Genetic evaluation of udder health traits in Spanish Holstein cows
title_sort Genetic evaluation of udder health traits in Spanish Holstein cows
dc.creator.none.fl_str_mv Pérez Cabal, María De Los Ángeles
López Paredes, Javier
Cervantes Navarro, Isabel
Gutiérrez García, Juan Pablo
Charfeddine, Noureddine
author Pérez Cabal, María De Los Ángeles
author_facet Pérez Cabal, María De Los Ángeles
López Paredes, Javier
Cervantes Navarro, Isabel
Gutiérrez García, Juan Pablo
Charfeddine, Noureddine
author_role author
author2 López Paredes, Javier
Cervantes Navarro, Isabel
Gutiérrez García, Juan Pablo
Charfeddine, Noureddine
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 636.09
Clinical mastitis
Subclinical mastitis
Genetic parameters
Producción animal
3104 Producción Animal
topic 636.09
Clinical mastitis
Subclinical mastitis
Genetic parameters
Producción animal
3104 Producción Animal
description The aims of this study were to estimate the genetic parameters of clinical mastitis (CM) and SCS traits, and to compare the performance of genetic evaluations of CM traits using univariate and bivariate analyses (CM-SCS). Data were edited according to the Udder Health Golden Standard harmonization, and then 6 CM traits and 6 SCS traits were considered, as the result of combining 3 lactation classifications (1, 2, ≥3) and 2 milking periods (early, late). The linear mixed animal models included the ratio of period at risk as a covariate, herd-year of calving, month of calving, and lactation-age as fixed effects, and the permanent environmental effect for traits of ≥3 lactations. Prevalence of CM in early lactation was similar regardless the lactation number (5%–6%), and the estimated heritabilities were 0.01. Prevalences in late lactation ranged from 10% to 24% and heritabilities ranged from 0.03 to 0.05. Estimated heritabilities of SCS ranged from 0.06 to 0.16 with univariate analyses. Somatic cell count (therefore its log-transformation SCS) showed a higher probability of correctly identifying healthy cows than infected cows but there was still up to 36% of healthy cows for which CM was not detected by SCS. Genetic correlations between CM-SCS traits ranged from 0.36 to 0.95, and SCS in lactation 3 and later did not add extra information to SCS in the second lactation for predicting CM. Regarding reliabilities of EBVs for CM traits, bivariate CM-SCS analyses led to substantial increases with respect to the single-trait model for sires (7%–12% more in first lactation and 16%–28% more for second lactation). Sire's rank correlations for CM between univariate and bivariate analyses (0.47–0.92) suggest that discarding sires could be more accurate than selecting candidates for sires of dams. We can conclude that SCS in first lactation could be useful to supplement CM data in first and second lactations to improve udder health genetic evaluation.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/111251
url https://hdl.handle.net/20.500.14352/111251
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869423228093464576
score 15,812429

Similares en LA Referencia