2019
DOI: 10.1016/j.prevetmed.2019.04.003
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Cattle herd typology for epidemiology, surveillance, and animal welfare: Method and applications in France

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Cited by 8 publications
(5 citation statements)
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“…The 544 calves confirmed as BTV‐8 positive belonged to 355 herds. According to the French cattle herd typology (Sala, Vinard, & Perrin, ), the majority of those 355 herds were beef breeder herds (86%, n = 305) whereas 11% ( n = 39) were very small herds, 2% ( n = 7) mixed breeder herds and 1% ( n = 4) dairy breeder herds.…”
Section: Resultsmentioning
confidence: 99%
“…The 544 calves confirmed as BTV‐8 positive belonged to 355 herds. According to the French cattle herd typology (Sala, Vinard, & Perrin, ), the majority of those 355 herds were beef breeder herds (86%, n = 305) whereas 11% ( n = 39) were very small herds, 2% ( n = 7) mixed breeder herds and 1% ( n = 4) dairy breeder herds.…”
Section: Resultsmentioning
confidence: 99%
“…The stratification in risk groups allows to characterize the higher risk of TB occurrence in beef/mixed herds in comparison with dairy herds (Bekara et al, 2014) and to take into account the difference in herd size. The type of production of each herd was determined from a typology based on the mean number and breed of females aged two years or over, the number of births and the presence of a fattening activity (Sala et al, 2019), using data from the French National Cattle Register. A small herd corresponded to a herd with less than ten births per year, a mean number of females aged two years or over under ten and a number of males slaughtered for meat under ten.…”
Section: Programmed Surveillancementioning
confidence: 99%
“…Ten departments expressed interest in participating and met the criteria: Corrèze (number code 19), Côtes-d'Amor (22), Creuse (23), Eure-et-Loire (28), Indre (36), Jura (39), Saone-et-Loire (71), Haute-Savoie (74), Vendée (85), and Yonne (89) (Figure 1). Three of them were involved in the Omar project since its inception (Corrèze, Côtes-d'Amor, and Yonne) (14).These départements represented the various cattle breeding contexts in France: (i) low, intermediate, and high cattle density areas ( Figure 2); (ii) traditional and intensive breeding practices (including mountain pasturing); and (iii) dairy and beef production types (15).…”
Section: Organization Of the 1-year Test Periodmentioning
confidence: 99%
“…Our SyS also uses the National Cattle Register (NCR) database because it contains all the information about the holdings (identification number, location, species kept) and animals (sex, breed, movement). It also provides demographic information (number of holdings, average number of females 2 years and older, number of cattle slaughtered, and births) for each farm and municipality (15). It also serves to cross-check the FSDI database because the two databases are not interconnected, and data such as farm identification numbers are sometimes not updated in the FSDI database.…”
Section: Data Sourcesmentioning
confidence: 99%