Fecal NIRS: Detection of tick infestations in cattle and horses

Anti-tick treatments are often applied concurrent to routine livestock management practices with little regard to actual infestation levels. Prescription treatments against ticks on grazing cattle would be facilitated by non-invasive detection methods. One such method is fecal near infrared spectros...

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Veröffentlicht in:Veterinary parasitology 2007-03, Vol.144 (1), p.146-152
Hauptverfasser: Tolleson, D.R., Teel, P.D., Stuth, J.W., Strey, O.F., Welsh, T.H., Carstens, G.E.
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container_issue 1
container_start_page 146
container_title Veterinary parasitology
container_volume 144
creator Tolleson, D.R.
Teel, P.D.
Stuth, J.W.
Strey, O.F.
Welsh, T.H.
Carstens, G.E.
description Anti-tick treatments are often applied concurrent to routine livestock management practices with little regard to actual infestation levels. Prescription treatments against ticks on grazing cattle would be facilitated by non-invasive detection methods. One such method is fecal near infrared spectroscopy (NIRS). Four studies utilizing cattle ( Bos spp.) and one with horses ( Equus caballus) fed varying diets and infested with either Amblyomma americanum, A. maculatum, A. cajennense or Dermacentor albipictus were conducted to determine the ability of fecal NIRS to identify samples from animals with (High stress) and without (Low stress) a tick burden. Discriminant analysis of each individual trial resulted in R 2 > 0.80. Similar analyses utilizing all combinations of four studies, predicting group membership in the remaining study, yielded R 2 > 0.80, but correct determinations for Low and High tick stress samples of only 53.4 and 60.1%, respectively. All five trials were combined and a random 10 or 25% of the samples were removed from the calibration. As in the previous calibrations, a high degree of discrimination was achieved ( R 2 > 0.89). The validation samples were correctly identified at 91.7% for Low stress and 96.3% for High stress, respectively. Difficulties in detecting differences in fecal samples due to confounding effects of trial were overcome by combining calibration sets. Overall, differences in fecal NIR spectra apparently due to tick stress were accurately detected across diet, host species, and tick species.
doi_str_mv 10.1016/j.vetpar.2006.09.018
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Prescription treatments against ticks on grazing cattle would be facilitated by non-invasive detection methods. One such method is fecal near infrared spectroscopy (NIRS). Four studies utilizing cattle ( Bos spp.) and one with horses ( Equus caballus) fed varying diets and infested with either Amblyomma americanum, A. maculatum, A. cajennense or Dermacentor albipictus were conducted to determine the ability of fecal NIRS to identify samples from animals with (High stress) and without (Low stress) a tick burden. Discriminant analysis of each individual trial resulted in R 2 &gt; 0.80. Similar analyses utilizing all combinations of four studies, predicting group membership in the remaining study, yielded R 2 &gt; 0.80, but correct determinations for Low and High tick stress samples of only 53.4 and 60.1%, respectively. All five trials were combined and a random 10 or 25% of the samples were removed from the calibration. As in the previous calibrations, a high degree of discrimination was achieved ( R 2 &gt; 0.89). The validation samples were correctly identified at 91.7% for Low stress and 96.3% for High stress, respectively. Difficulties in detecting differences in fecal samples due to confounding effects of trial were overcome by combining calibration sets. Overall, differences in fecal NIR spectra apparently due to tick stress were accurately detected across diet, host species, and tick species.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>17097809</pmid><doi>10.1016/j.vetpar.2006.09.018</doi><tpages>7</tpages></addata></record>
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subjects Amblyomma
Amblyomma americanum
Animals
Bos
Calibration
Cattle
Cattle Diseases - diagnosis
Dermacentor albipictus
detection
Discriminant analyses
Discriminant Analysis
Equus caballus
Fecal NIRS
feces
Feces - chemistry
Female
Horse Diseases - diagnosis
Horses
IPM
Ixodidae
Male
model validation
near-infrared reflectance spectroscopy
prediction
Predictive Value of Tests
Reproducibility of Results
Sensitivity and Specificity
Species Specificity
spectral analysis
Spectroscopy, Near-Infrared - methods
Spectroscopy, Near-Infrared - standards
Spectroscopy, Near-Infrared - veterinary
tick burden
tick infestations
Tick Infestations - diagnosis
Tick Infestations - veterinary
Tick stress
Validation
title Fecal NIRS: Detection of tick infestations in cattle and horses
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