2020
DOI: 10.15517/am.v31i1.37062
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Herd management information systems to support cattle population research: the VAMPP® case

Abstract: Introduction. Livestock information systems, besides being indispensable for the daily management of the herd, can serve as a basis for research at the population level. Objective.The objective of the study was to analyze the role of the VAMPP® system as a source of information for cattle population research over 32 years of evolution in Costa Rica. Materials and methods. A statistical analysis of the system database (VAMPP®) covering the period between 1987 and 2018 was carried out. Trends in the disseminatio… Show more

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Cited by 2 publications
(2 citation statements)
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“…The information analysed was obtained from the central database of the Centro Regional de Informática para la Producción Animal Sostenible (CRIPAS) at the Escuela de Medicina Veterinaria, Universidad National, Costa Rica (Romero‐Zúñiga et al, 2019; Sánchez‐Hernández et al, 2020). This database contains information on herds all over the country.…”
Section: Methodsmentioning
confidence: 99%
“…The information analysed was obtained from the central database of the Centro Regional de Informática para la Producción Animal Sostenible (CRIPAS) at the Escuela de Medicina Veterinaria, Universidad National, Costa Rica (Romero‐Zúñiga et al, 2019; Sánchez‐Hernández et al, 2020). This database contains information on herds all over the country.…”
Section: Methodsmentioning
confidence: 99%
“…A population-based, observational, retrospective, and longitudinal study was carried out. The information analyzed was obtained from the database of the Regional Center for Informatics for Sustainable Animal Production (CRIPAS, by Spanish acronym) attached to the School of Veterinary Medicine of the National University of Costa Rica (Sánchez et al, 2020). This database contains health and management information from over 2500 dairy herds distributed in different geographical zones of Costa Rica.…”
Section: Data Sourcementioning
confidence: 99%