Web of Science: 4 cites, Scopus: 4 cites, Google Scholar: cites,
Predicting herbivore faecal nitrogen using a multispecies near-infrared reflectance spectroscopy calibration
Villamuelas, Miriam (University of Padova. Department of Agronomy. Food, Natural Resources. Animals and Environment)
Serrano, Emmanuel (Universidade de Aveiro. Departamento de Biologia)
Espunyes, Johan (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Fernández, Néstor (Consejo Superior de Investigaciones Científicas. Department of Conservation Biology)
López-Olvera, Jorge Ramón (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Garel, Mathieu (Office National de la Chasse et de la Faune Sauvage. Unité Faune de Montagne)
Santos, João (Sanidad Y Biotecnología. Instituto de Investigación en Recursos)
Parra-Aguado, María Ángeles (Sanidad Y Biotecnología. Instituto de Investigación en Recursos)
Ramanzin, Maurizio (University of Padova. Department of Agronomy. Food, Natural Resources. Animals and Environment)
Fernández-Aguilar, Xavier (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Colom-Cadena, Andreu (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Marco, Ignasi (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Lavín, Santiago (Universitat Autònoma de Barcelona. Servei d'Ecopatologia de Fauna Salvatge)
Bartolomé, Jordi (Universitat Autònoma de Barcelona. Ruminant Research Group)
Albanell, Elena (Universitat Autònoma de Barcelona. Ruminant Research Group. Departament de Ciència Animal I Dels Aliments)

Data: 2017
Resum: Optimal management of free-ranging herbivores requires the accurate assessment of an animal's nutritional status. For this purpose 'near-infrared reflectance spectroscopy' (NIRS) is very useful, especially when nutritional assessment is done through faecal indicators such as faecal nitrogen (FN). In order to perform an NIRS calibration, the default protocol recommends starting by generating an initial equation based on at least 50-75 samples from the given species. Although this protocol optimises prediction accuracy, it limits the use of NIRS with rare or endangered species where sample sizes are often small. To overcome this limitation we tested a single NIRS equation (i. e. , multispecies calibration) to predict FN in herbivores. Firstly, we used five herbivore species with highly contrasting digestive physiologies to build monospecies and multispecies calibrations, namely horse, sheep, Pyrenean chamois, red deer and European rabbit. Secondly, the equation accuracy was evaluated by two procedures using: (1) an external validation with samples from the same species, which were not used in the calibration process; and (2) samples from different ungulate species, specifically Alpine ibex, domestic goat, European mouflon, roe deer and cattle. The multispecies equation was highly accurate in terms of the coefficient of determination for calibration R = 0. 98, standard error of validation SECV = 0. 10, standard error of external validation SEP = 0. 12, ratio of performance to deviation RPD = 5. 3, and range error of prediction RER = 28. 4. The accuracy of the multispecies equation to predict other herbivore species was also satisfactory (R > 0. 86, SEP < 0. 27, RPD > 2. 6, and RER > 8. 1). Lastly, the agreement between multi- and monospecies calibrations was also confirmed by the Bland-Altman method. In conclusion, our single multispecies equation can be used as a reliable, cost-effective, easy and powerful analytical method to assess FN in a wide range of herbivore species.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Animals ; Calibration ; Feces ; Herbivory ; Nitrogen ; Spectroscopy, Near-Infrared
Publicat a: PLoS ONE, Vol. 12 Núm. 4 (april 2017) , p. e0176635, ISSN 1932-6203

DOI: 10.1371/journal.pone.0176635
PMID: 28453544


15 p, 3.2 MB

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