Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22297
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dc.contributor.authorRamirez Cabral, Nadiezhda Yakovleva Zitzen
dc.contributor.authorKumar, Laliten
dc.contributor.authorShabani, Farzinen
dc.date.accessioned2018-01-09T15:28:00Z-
dc.date.issued2017-
dc.identifier.citationJournal of Phytopathology, 165(9), p. 563-574en
dc.identifier.issn1439-0434en
dc.identifier.issn0931-1785en
dc.identifier.urihttps://hdl.handle.net/1959.11/22297-
dc.description.abstractCommon rust (Puccinia sorghi) and southern rust (Puccinia polysora) are two of the most important foliar corn diseases worldwide. These fungi have caused severe economic loss to corn yields worldwide. The current and future potential distribution of these diseases was modelled with CLIMEX using the known current geographic locations of the rusts, growth and stress indices. The models were run under the A2 scenario using CSIRO-Mk3.0 and MIROC-H for 2050 and 2100. The current projection shows areas with marginal to optimal suitability in all the continents. The models for future projections display a general reduction in the Southern hemisphere and increase in the Northern hemisphere, especially for the southern rust. The overlay of the General Circulation Models produce an estimation of the common areas under risk for future climate conditions for the simultaneous occurrence for both corn rusts, with a reduction of the medium- and high-risk categories by 2100. This study highlights the possible effects of climate change at a global level for common and southern rust, as well as the risk of occurrence of both diseases in common areas for future climate that could be particularly harmful for crops.en
dc.languageenen
dc.publisherWiley-Blackwell Verlag GmbHen
dc.relation.ispartofJournal of Phytopathologyen
dc.titleGlobal risk levels for corn rusts ('Puccinia sorghi' and 'Puccinia polysora') under climate change projectionsen
dc.typeJournal Articleen
dc.identifier.doi10.1111/jph.12593en
dc.subject.keywordsGeospatial Information Systemsen
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
dc.subject.keywordsEcological Impacts of Climate Changeen
local.contributor.firstnameNadiezhda Yakovleva Zitzen
local.contributor.firstnameLaliten
local.contributor.firstnameFarzinen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.for2008090903 Geospatial Information Systemsen
local.subject.for2008050101 Ecological Impacts of Climate Changeen
local.subject.seo2008960501 Ecosystem Assessment and Management at Regional or Larger Scalesen
local.subject.seo2008960303 Climate Change Modelsen
local.subject.seo2008960305 Ecosystem Adaptation to Climate Changeen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailnramirez@myune.edu.auen
local.profile.emaillkumar@une.edu.auen
local.profile.emailfshaban2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170727-142750en
local.publisher.placeGermanyen
local.format.startpage563en
local.format.endpage574en
local.identifier.scopusid85021241562en
local.peerreviewedYesen
local.identifier.volume165en
local.identifier.issue9en
local.contributor.lastnameRamirez Cabralen
local.contributor.lastnameKumaren
local.contributor.lastnameShabanien
dc.identifier.staffune-id:nramirezen
dc.identifier.staffune-id:lkumaren
dc.identifier.staffune-id:fshaban2en
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22486en
local.identifier.handlehttps://hdl.handle.net/1959.11/22297en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGlobal risk levels for corn rusts ('Puccinia sorghi' and 'Puccinia polysora') under climate change projectionsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorRamirez Cabral, Nadiezhda Yakovleva Zitzen
local.search.authorKumar, Laliten
local.search.authorShabani, Farzinen
local.uneassociationUnknownen
local.identifier.wosid000408837600001en
local.year.published2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/02a069ae-c593-4d61-9bf3-ab69e3d2833aen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.for2020401302 Geospatial information systems and geospatial data modellingen
local.subject.for2020410102 Ecological impacts of climate change and ecological adaptationen
local.subject.seo2020180403 Assessment and management of Antarctic and Southern Ocean ecosystemsen
local.subject.seo2020190501 Climate change modelsen
local.subject.seo2020190102 Ecosystem adaptation to climate changeen
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School of Environmental and Rural Science
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