Cargando…

A morphometric system to distinguish sheep and goat postcranial bones

Distinguishing between the bones of sheep and goat is a notorious challenge in zooarchaeology. Several methodological contributions have been published at different times and by various people to facilitate this task, largely relying on a macro-morphological approach. This is now routinely adopted b...

Descripción completa

Detalles Bibliográficos
Autores principales: Salvagno, Lenny, Albarella, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464554/
https://www.ncbi.nlm.nih.gov/pubmed/28594831
http://dx.doi.org/10.1371/journal.pone.0178543
_version_ 1783242795307237376
author Salvagno, Lenny
Albarella, Umberto
author_facet Salvagno, Lenny
Albarella, Umberto
author_sort Salvagno, Lenny
collection PubMed
description Distinguishing between the bones of sheep and goat is a notorious challenge in zooarchaeology. Several methodological contributions have been published at different times and by various people to facilitate this task, largely relying on a macro-morphological approach. This is now routinely adopted by zooarchaeologists but, although it certainly has its value, has also been shown to have limitations. Morphological discriminant criteria can vary in different populations and correct identification is highly dependent upon a researcher’s experience, availability of appropriate reference collections, and many other factors that are difficult to quantify. There is therefore a need to establish a more objective system, susceptible to scrutiny. In order to fulfil such a requirement, this paper offers a comprehensive morphometric method for the identification of sheep and goat postcranial bones, using a sample of more than 150 modern skeletons as a basis, and building on previous pioneering work. The proposed method is based on measurements—some newly created, others previously published–and its use is recommended in combination with the more traditional morphological approach. Measurement ratios, used to translate morphological traits into biometrical attributes, are demonstrated to have substantial diagnostic potential, with the vast majority of specimens correctly assigned to species. The efficacy of the new method is also tested with Discriminant Analysis, which provides a successful verification of the biometrical indices, a statistical means to select the most promising measurements, and an additional line of analysis to be used in conjunction with the others.
format Online
Article
Text
id pubmed-5464554
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-54645542017-06-22 A morphometric system to distinguish sheep and goat postcranial bones Salvagno, Lenny Albarella, Umberto PLoS One Research Article Distinguishing between the bones of sheep and goat is a notorious challenge in zooarchaeology. Several methodological contributions have been published at different times and by various people to facilitate this task, largely relying on a macro-morphological approach. This is now routinely adopted by zooarchaeologists but, although it certainly has its value, has also been shown to have limitations. Morphological discriminant criteria can vary in different populations and correct identification is highly dependent upon a researcher’s experience, availability of appropriate reference collections, and many other factors that are difficult to quantify. There is therefore a need to establish a more objective system, susceptible to scrutiny. In order to fulfil such a requirement, this paper offers a comprehensive morphometric method for the identification of sheep and goat postcranial bones, using a sample of more than 150 modern skeletons as a basis, and building on previous pioneering work. The proposed method is based on measurements—some newly created, others previously published–and its use is recommended in combination with the more traditional morphological approach. Measurement ratios, used to translate morphological traits into biometrical attributes, are demonstrated to have substantial diagnostic potential, with the vast majority of specimens correctly assigned to species. The efficacy of the new method is also tested with Discriminant Analysis, which provides a successful verification of the biometrical indices, a statistical means to select the most promising measurements, and an additional line of analysis to be used in conjunction with the others. Public Library of Science 2017-06-08 /pmc/articles/PMC5464554/ /pubmed/28594831 http://dx.doi.org/10.1371/journal.pone.0178543 Text en © 2017 Salvagno, Albarella http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Salvagno, Lenny
Albarella, Umberto
A morphometric system to distinguish sheep and goat postcranial bones
title A morphometric system to distinguish sheep and goat postcranial bones
title_full A morphometric system to distinguish sheep and goat postcranial bones
title_fullStr A morphometric system to distinguish sheep and goat postcranial bones
title_full_unstemmed A morphometric system to distinguish sheep and goat postcranial bones
title_short A morphometric system to distinguish sheep and goat postcranial bones
title_sort morphometric system to distinguish sheep and goat postcranial bones
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464554/
https://www.ncbi.nlm.nih.gov/pubmed/28594831
http://dx.doi.org/10.1371/journal.pone.0178543
work_keys_str_mv AT salvagnolenny amorphometricsystemtodistinguishsheepandgoatpostcranialbones
AT albarellaumberto amorphometricsystemtodistinguishsheepandgoatpostcranialbones
AT salvagnolenny morphometricsystemtodistinguishsheepandgoatpostcranialbones
AT albarellaumberto morphometricsystemtodistinguishsheepandgoatpostcranialbones