title: A Vegetation Index qualifying pasture edges is related to Ixodes ricinus density and to Babesia divergens seroprevalence in dairy cattle herds.
abstract: Babesia divergens, transmitted by the tick Ixodes ricinus, is the main agent of bovine piroplasmosis in France. This Apicomplexa often is present in asymptomatic carriers; however, clinical cases are rare. While numerous factors are known to influence tick density, no risk factor of contact with B. divergens has been identified for cattle. Our study aimed to explore whether a Vegetation Index could serve as an indirect indicator of within-herd B. divergens seroprevalence. In February 2007, blood samples were taken from all of the cows in 19 dairy cattle herds in Western France and IFAT serology was performed individually to measure B. divergens seroprevalence. The following spring, I. ricinus nymphs were collected by drag sampling along transects on the vegetation of each farm's pasture perimeters. Tick density was related significantly to a Vegetation Index (V.I., ranging from 1 to 5) that took into account the abundance of trees and bushes on the edge of pastures: most ticks (57%) were found in transects with the highest V.I. (covering 15% of the explored surface in the study area). At the farm level, the proportion of transects presenting I. ricinus nymphs was significantly related to B. divergens seroprevalence: the farms with more than 15% of transects with I. ricinus had a significantly higher risk of high seroprevalence. The proportion of pasture perimeters where the V.I.=5 also was significantly related to B. divergens seroprevalence: the farms where more than 20% of transects had a V.I.=5 had a significantly higher risk of high seroprevalence. Given that the Vegetation Index is a steady indicator of the potential I. ricinus density in the biotope, we recommend that the risk of high B. divergens seroprevalence in cows be evaluated using this tool rather than drag samplings.
authors.affiliation: LUNAM Université, Oniris, UMR 1300 Bio-Agression, Epidémiologie et Analyse de Risque, Nantes, F-44307, France. albert.agoulon@oniris-nantes.fr
authors.forename: Albert
authors.initials: A
authors.lastname: Agoulon
authors.forename: Laurence
authors.initials: L
authors.lastname: Malandrin
authors.forename: Florent
authors.initials: F
authors.lastname: Lepigeon
authors.forename: Maxime
authors.initials: M
authors.lastname: Vénisse
authors.forename: Sarah
authors.initials: S
authors.lastname: Bonnet
authors.forename: Claire A M
authors.initials: CA
authors.lastname: Becker
authors.forename: Thierry
authors.initials: T
authors.lastname: Hoch
authors.forename: Suzanne
authors.initials: S
authors.lastname: Bastian
authors.forename: Olivier
authors.initials: O
authors.lastname: Plantard
authors.forename: François
authors.initials: F
authors.lastname: Beaudeau
mesh_terms: D000818:Animals; D001403:Babesia / Q000302:isolation & purification*; D001404:Babesiosis / Q000453:epidemiology*; D002417:Cattle; D002418:Cattle Diseases / Q000453:epidemiology / Q000469:parasitology*; D003612:Dairying; D017753:Ecosystem; D005260:Female; D005602:France / Q000453:epidemiology; D018884:Ixodes / Q000382:microbiology / Q000502:physiology*; D011156:Population Density; D016036:Seroepidemiologic Studies; D013984:Tick Infestations / Q000453:epidemiology / Q000662:veterinary