1. Influence of environmental factors on the detection of blood in sheep faeces using visible–near-infrared spectroscopy as a measure of Haemonchus contortus infection
- Author
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Anne Beasley, Peter J. James, Glen P. Fox, Stephen S. Moore, Maggy T. Sikulu-Lord, Jill N. Fernandes, Andrew C. Kotze, and Elise A. Kho
- Subjects
Veterinary medicine ,Mycology & Parasitology ,Visible–near infrared spectroscopy ,01 natural sciences ,Faecal analysis ,Feces ,Hemoglobins ,Haemonchus contortus ,Partial least squares regression ,Near-Infrared ,Anthelmintic ,Spectroscopy ,screening and diagnosis ,Principal Component Analysis ,Spectroscopy, Near-Infrared ,biology ,Visible near infrared ,Age Factors ,04 agricultural and veterinary sciences ,Detection ,Visible-near infrared spectroscopy ,Infectious Diseases ,Blood ,Hematocrit ,Medical Microbiology ,Occult Blood ,Principal component analysis ,Public Health and Health Services ,Female ,Queensland ,Haemoglobin ,New South Wales ,medicine.drug ,Gastrointestinal nematodes ,Sheep Diseases ,Environment ,010309 optics ,Tropical Medicine ,0103 physical sciences ,medicine ,Animals ,Sheep ,Research ,0402 animal and dairy science ,biology.organism_classification ,040201 dairy & animal science ,4.1 Discovery and preclinical testing of markers and technologies ,Blood chemistry ,Parasitology ,Flock ,Haemonchiasis - Abstract
BackgroundExisting diagnostic methods for the parasitic gastrointestinal nematode,Haemonchus contortus, are time consuming and require specialised expertise, limiting their utility in the field. A practical, on-farm diagnostic tool could facilitate timely treatment decisions, thereby preventing losses in production and flock welfare. We previously demonstrated the ability of visible–near-infrared (Vis–NIR) spectroscopy to detect and quantify blood in sheep faeces with high accuracy. Here we report our investigation of whether variation in sheep type and environment affect the prediction accuracy of Vis–NIR spectroscopy in quantifying blood in faeces.MethodsVisible–NIR spectra were obtained from worm-free sheep faeces collected from different environments and sheep types in South Australia (SA) and New South Wales, Australia and spiked with various sheep blood concentrations. Spectra were analysed using principal component analysis (PCA), and calibration models were built around the haemoglobin (Hb) wavelength region (387–609 nm) using partial least squares regression. Models were used to predict Hb concentrations in spiked faeces from SA and naturally infected sheep faeces from Queensland (QLD). Samples from QLD were quantified using Hemastix® test strip and FAMACHA© diagnostic test scores.ResultsPrincipal component analysis showed that location, class of sheep and pooled versus individual samples were factors affecting the Hb predictions. The models successfully differentiated ‘healthy’ SA samples from those requiring anthelmintic treatment with moderate to good prediction accuracy (sensitivity 57–94%, specificity 44–79%). The models were not predictive for blood in the naturally infected QLD samples, which may be due in part to variability of faecal background and blood chemistry between samples, or the difference in validation methods used for blood quantification. PCA of the QLD samples, however, identified a difference between samples containing high and low quantities of blood.ConclusionThis study demonstrates the potential of Vis–NIR spectroscopy for estimating blood concentration in faeces from various types of sheep and environmental backgrounds. However, the calibration models developed here did not capture sufficient environmental variation to accurately predict Hb in faeces collected from environments different to those used in the calibration model. Consequently, it will be necessary to establish models that incorporate samples that are more representative of areas whereH. contortusis endemic.Graphical Abstract
- Published
- 2020