Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources

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dc.contributor.authorJoost, S.
dc.contributor.authorColli, L.
dc.contributor.authorBaret, P. V.
dc.contributor.authorGarcia, José Fernando [UNESP]
dc.contributor.authorBoettcher, P. J.
dc.contributor.authorTixier-Boichard, M.
dc.contributor.authorAjmone-Marsan, P.
dc.contributor.institutionEcole Polytech Fed Lausanne
dc.contributor.institutionUniv Cattolica S Cuore di Piacenza
dc.contributor.institutionCatholic Univ Louvain
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFood & Agr Org United Nations
dc.contributor.institutionINRA
dc.contributor.institutionAgroParisTech
dc.date.accessioned2013-09-30T18:25:04Z
dc.date.accessioned2014-05-20T13:42:33Z
dc.date.available2013-09-30T18:25:04Z
dc.date.available2014-05-20T13:42:33Z
dc.date.issued2010-05-01
dc.description.abstractP>In livestock genetic resource conservation, decision making about conservation priorities is based on the simultaneous analysis of several different criteria that may contribute to long-term sustainable breeding conditions, such as genetic and demographic characteristics, environmental conditions, and role of the breed in the local or regional economy. Here we address methods to integrate different data sets and highlight problems related to interdisciplinary comparisons. Data integration is based on the use of geographic coordinates and Geographic Information Systems (GIS). In addition to technical problems related to projection systems, GIS have to face the challenging issue of the non homogeneous scale of their data sets. We give examples of the successful use of GIS for data integration and examine the risk of obtaining biased results when integrating datasets that have been captured at different scales.en
dc.description.affiliationEcole Polytech Fed Lausanne, Lab Geog Informat Syst, Sch Architecture Civil & Environm Engn ENAC, CH-1015 Lausanne, Switzerland
dc.description.affiliationUniv Cattolica S Cuore di Piacenza, Fac Agr, Ist Zootecn, I-29122 Piacenza, Italy
dc.description.affiliationCatholic Univ Louvain, GENA POPS, ELI, B-1348 Louvain, Belgium
dc.description.affiliationUniv Estadual Paulista, Dept Apoio Prod & Saúde Anim, BR-16050680 Aracatuba, SP, Brazil
dc.description.affiliationFood & Agr Org United Nations, Anim Prod & Hlth Div, I-00153 Rome, Italy
dc.description.affiliationINRA, F-78350 Jouy En Josas, France
dc.description.affiliationAgroParisTech, UMR1313, GABI, F-78350 Jouy En Josas, France
dc.description.affiliationUnespUniv Estadual Paulista, Dept Apoio Prod & Saúde Anim, BR-16050680 Aracatuba, SP, Brazil
dc.format.extent47-63
dc.identifierhttp://dx.doi.org/10.1111/j.1365-2052.2010.02037.x
dc.identifier.citationAnimal Genetics. Malden: Wiley-blackwell, v. 41, p. 47-63, 2010.
dc.identifier.doi10.1111/j.1365-2052.2010.02037.x
dc.identifier.issn0268-9146
dc.identifier.lattes9991374083045897
dc.identifier.urihttp://hdl.handle.net/11449/14795
dc.identifier.wosWOS:000276775100004
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofAnimal Genetics
dc.relation.ispartofjcr1.841
dc.relation.ispartofsjr0,830
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectconservationen
dc.subjectdata integrationen
dc.subjectgenetic resourcesen
dc.subjectgeodataen
dc.subjectGeographic Information Systemsen
dc.subjectlivestocken
dc.subjectstatisticsen
dc.titleIntegrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resourcesen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-blackwell
unesp.author.lattes9991374083045897
unesp.author.orcid0000-0002-1184-7501[1]
unesp.author.orcid0000-0002-6189-666X[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária, Araçatubapt

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