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dc.contributor.authorVosough Ahmadi B
dc.contributor.authorMoran D
dc.contributor.authorBarnes AP
dc.contributor.authorBaret PV
dc.date.accessioned2015-01-28T16:52:05Z
dc.date.available2015-01-28T16:52:05Z
dc.date.issued2014
dc.identifier.citation6:23en
dc.identifier.urihttp://dx.doi.org/10.3389/fgene.2015.00023
dc.identifier.urihttp://hdl.handle.net/11262/10582
dc.description.abstractSustainable intensification (SI) is a multifaceted concept incorporating the ambition to increase or maintain the current level of agricultural yields while reduce negative ecological and environmental impacts. Decision-support systems (DSS) that use integrated analytical methods are often used to support decision making processes in agriculture. However, DSS often consist of set of values, objectives and assumptions that may be inconsistent or in conflict with merits and objectives of SI. These potential conflicts will have consequences for adoption and up-take of agricultural research, technologies and related policies and regulations such as genetic technology in pursuit of SI. This perspective paper aimed at comparing a number of frequently used socio-economic DSS with respect to their capacity in incorporating various dimensions of SI, and discussing their application to analyzing farm animal genetic resources (FAnGR) policies. The case of FAnGR policies was chosen because of its great potential in delivering merits of SI. It was concluded that flexible DSS, with great integration capacity with various natural and social sciences, are needed to provide guidance on feasibility, practicality and policy implementation for SI.en_US
dc.language.isoenen_US
dc.relation.isformatof13914en_US
dc.relation.ispartofFrontiers in Geneticsen_US
dc.rightsCopyright © 2015 Vosough_ahmadi, Moran, Barnes and Baret. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectDecision-support systems (DSS)en_US
dc.subjectSustainable intensificationen_US
dc.subjectFarm animal genetic resourcesen_US
dc.subjectModelsen_US
dc.subjectSocial scienceen_US
dc.titleComparing decision-support systems in adopting sustainable intensification criteriaen_US
dc.typeArticleen_US
dc.description.versionProvisional PDFen


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