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dc.contributor.author
Rearte, Ramiro
dc.contributor.author
Lorenti, Santiago Nicolas
dc.contributor.author
Dominguez, German
dc.contributor.author
de la Sota, Rodolfo Luzbel
dc.contributor.author
Lacau, Isabel María
dc.contributor.author
Giuliodori, Mauricio Javier
dc.date.available
2024-01-12T11:26:29Z
dc.date.issued
2023-10
dc.identifier.citation
Rearte, Ramiro; Lorenti, Santiago Nicolas; Dominguez, German; de la Sota, Rodolfo Luzbel; Lacau, Isabel María; et al.; Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level; Multidisciplinary Digital Publishing Institute; Animals; 13; 19; 10-2023; 1-11
dc.identifier.issn
2076-2615
dc.identifier.uri
http://hdl.handle.net/11336/223495
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Multidisciplinary Digital Publishing Institute
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
ANESTRUS RATE
dc.subject
BODY CONDITION SCORING
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DAIRY HERD
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MONITORING RISK FACTORS
dc.subject.classification
Otras Ciencias Veterinarias
dc.subject.classification
Ciencias Veterinarias
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-01-11T14:33:48Z
dc.journal.volume
13
dc.journal.number
19
dc.journal.pagination
1-11
dc.journal.pais
Suiza
dc.journal.ciudad
Basilea
dc.description.fil
Fil: Rearte, Ramiro. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Teriogenología. Cátedra de Reproducción Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Lorenti, Santiago Nicolas. No especifíca;
dc.description.fil
Fil: Dominguez, German. No especifíca;
dc.description.fil
Fil: de la Sota, Rodolfo Luzbel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Teriogenología. Cátedra de Reproducción Animal; Argentina
dc.description.fil
Fil: Lacau, Isabel María. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
dc.description.fil
Fil: Giuliodori, Mauricio Javier. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Ciencias Básicas. Cátedra de Fisiología; Argentina
dc.journal.title
Animals
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3390/ani13193114
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