Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level

A retrospective longitudinal study assessing the explanatory and predictive capacity of body condition score (BCS) in dairy cows on disease risk at the individual and herd level was carried out. Data from two commercial grazing herds from the Argentinean Pampa were gathered (Herd A = 2100 and herd B...

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Autores principales: Rearte, Ramiro, Lorenti, Santiago Nicolás, Dominguez, Germán, Sota, Rodolfo Luzbel de la, Lacau-Mengido, Isabel María, Giuliodori, Mauricio Javier
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Veterinarias
body condition scoring
anestrus rate
monitoring risk factors
dairy herd
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/159475
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-159475
record_format dspace
spelling I19-R120-10915-1594752023-10-28T04:07:17Z http://sedici.unlp.edu.ar/handle/10915/159475 Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level Rearte, Ramiro Lorenti, Santiago Nicolás Dominguez, Germán Sota, Rodolfo Luzbel de la Lacau-Mengido, Isabel María Giuliodori, Mauricio Javier 2023-10-06 2023-10-27T13:59:21Z en Ciencias Veterinarias body condition scoring anestrus rate monitoring risk factors dairy herd A retrospective longitudinal study assessing the explanatory and predictive capacity of body condition score (BCS) in dairy cows on disease risk at the individual and herd level was carried out. Data from two commercial grazing herds from the Argentinean Pampa were gathered (Herd A = 2100 and herd B = 2600 milking cows per year) for 4 years. Logistic models were used to assess the association of BCS indicators with the odds for anestrus at the cow and herd level. Population attributable fraction (AFP) was estimated to assess the anestrus rate due to BCS indicators. We found that anestrus risk decreased in cows calving with BCS >= 3 and losing <= 0.5 (OR: 0.07–0.41), and that anestrus rate decreased in cohorts with a high frequency of cows with proper BCS (OR: 0.22–0.45). Despite aggregated data having a good explanatory power, their predictive capacity for anestrus rate at the herd level is poor (AUC: 0.574–0.679). The AFP varied along the study in both herds and tended to decrease every time the anestrous rate peaked. We conclude that threshold-based models with BCS indicators as predictors are useful to understand disease risk (e.g., anestrus), but conversely, they are useless to predict such multicausal disease events at the herd level. Facultad de Ciencias Veterinarias Consejo Nacional de Investigaciones Científicas y Técnicas Articulo Articulo http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Veterinarias
body condition scoring
anestrus rate
monitoring risk factors
dairy herd
spellingShingle Ciencias Veterinarias
body condition scoring
anestrus rate
monitoring risk factors
dairy herd
Rearte, Ramiro
Lorenti, Santiago Nicolás
Dominguez, Germán
Sota, Rodolfo Luzbel de la
Lacau-Mengido, Isabel María
Giuliodori, Mauricio Javier
Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
topic_facet Ciencias Veterinarias
body condition scoring
anestrus rate
monitoring risk factors
dairy herd
description A retrospective longitudinal study assessing the explanatory and predictive capacity of body condition score (BCS) in dairy cows on disease risk at the individual and herd level was carried out. Data from two commercial grazing herds from the Argentinean Pampa were gathered (Herd A = 2100 and herd B = 2600 milking cows per year) for 4 years. Logistic models were used to assess the association of BCS indicators with the odds for anestrus at the cow and herd level. Population attributable fraction (AFP) was estimated to assess the anestrus rate due to BCS indicators. We found that anestrus risk decreased in cows calving with BCS >= 3 and losing <= 0.5 (OR: 0.07–0.41), and that anestrus rate decreased in cohorts with a high frequency of cows with proper BCS (OR: 0.22–0.45). Despite aggregated data having a good explanatory power, their predictive capacity for anestrus rate at the herd level is poor (AUC: 0.574–0.679). The AFP varied along the study in both herds and tended to decrease every time the anestrous rate peaked. We conclude that threshold-based models with BCS indicators as predictors are useful to understand disease risk (e.g., anestrus), but conversely, they are useless to predict such multicausal disease events at the herd level.
format Articulo
Articulo
author Rearte, Ramiro
Lorenti, Santiago Nicolás
Dominguez, Germán
Sota, Rodolfo Luzbel de la
Lacau-Mengido, Isabel María
Giuliodori, Mauricio Javier
author_facet Rearte, Ramiro
Lorenti, Santiago Nicolás
Dominguez, Germán
Sota, Rodolfo Luzbel de la
Lacau-Mengido, Isabel María
Giuliodori, Mauricio Javier
author_sort Rearte, Ramiro
title Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
title_short Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
title_full Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
title_fullStr Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
title_full_unstemmed Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
title_sort monitoring of body condition in dairy cows to assess disease risk at the individual and herd level
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/159475
work_keys_str_mv AT rearteramiro monitoringofbodyconditionindairycowstoassessdiseaseriskattheindividualandherdlevel
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