Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/23176
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dc.contributor.authorSantos, João P. V.pt
dc.contributor.authorVicente, Joaquínpt
dc.contributor.authorVillamuelas, Miriampt
dc.contributor.authorAlbanell, Elenapt
dc.contributor.authorSerrano, Emmanuelpt
dc.contributor.authorCarvalho, Joãopt
dc.contributor.authorFonseca, Carlospt
dc.contributor.authorGortázar, Christianpt
dc.contributor.authorLópez-Olvera, Jorge Ramónpt
dc.date.accessioned2018-05-17T10:02:30Z-
dc.date.issued2014-
dc.identifier.issn1470-160Xpt
dc.identifier.urihttp://hdl.handle.net/10773/23176-
dc.description.abstractInterest in measuring faecal glucocorticoid metabolites (FGM) as indicators of physiological homeostasis and performance in wildlife is increasing. However, current reference techniques, specifically enzyme immunoassays (EIAs) and radioimmunoassays (RIAs), are expensive, time-consuming, reagent-based, and the samples are destroyed during their application. Conversely, near infrared reflectance spectroscopy (NIRS) is a rapid, reagent-free and non-destructive technique, which, once calibrated by standard laboratory methods, can be used at a low cost. The objectives of this study were to evaluate the feasibility of using NIRS to predict glucocorticoid metabolite concentrations in red deer (Cervus elaphus) faeces, as well as the effect of lyophilisation and oven drying on FGM quantification. Seventy-eight fresh faecal samples were collected directly from the rectum of hunter-harvested red deer and then divided into two equal portions; one portion of each individual sample was lyophilised and the other portion was oven-dried. After dehydration, all faecal samples were ground and then analysed by RIA (standard laboratory technique) and scanned with an NIR spectrophotometer. Modified partial least squares regression was used to generate NIRS calibration equations for both lyophilised and oven-dried samples and a cross-validation procedure was employed for their optimisation. Near infrared reflectance spectroscopy proved to be a feasible, acceptably accurate and reliable technique for predicting FGM concentrations in red deer faeces subjected either to lyophilisation or to oven drying. Calibration and cross-validation results indicated that predictive equations for lyophilised faeces were slightly more precise and robust than for the oven-dried ones (lyophilised: R2 = 0.90, r2cv = 0.81, RPD = 2.72; oven-dried: R2 = 0.88, r2cv = 0.79, RPD = 2.26; CV: cross-validation, RPD: ratio of performance to deviation). Nevertheless, oven-dried faeces may be used as an alternative to lyophilised ones to quantify FGM levels accurately, provided that an appropriate combination of dehydration time and temperature is used during the desiccation process. High degrees of association and statistically significant positive correlations (p < 0.001) were found between the lyophilised and oven-dried samples regarding their FGM content, both for RIA assays and NIRS analyses. This study provides a new approach for assessing stress levels in free-ranging populations and has practical implications concerning wildlife monitoring as it makes it possible to improve the efficiency and reduce the cost and time constraints of current analytical techniques.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationAGL2010-20730-C02-01pt
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F65880%2F2009/PTpt
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F96637%2F2013/PTpt
dc.rightsrestrictedAccesspor
dc.subjectCervus elaphuspt
dc.subjectFaecal indicatorspt
dc.subjectGlucocorticoid metabolitespt
dc.subjectNIRSpt
dc.subjectStresspt
dc.titleNear infrared reflectance spectroscopy (NIRS) for predicting glucocorticoid metabolites in lyophilised and oven-dried faeces of red deerpt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage522pt
degois.publication.lastPage528pt
degois.publication.titleEcological Indicatorspt
degois.publication.volume45pt
dc.date.embargo10000-01-01-
dc.identifier.doi10.1016/j.ecolind.2014.05.021pt
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