Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22297
Title: Global risk levels for corn rusts ('Puccinia sorghi' and 'Puccinia polysora') under climate change projections
Contributor(s): Ramirez Cabral, Nadiezhda Yakovleva Zitz (author); Kumar, Lalit  (author)orcid ; Shabani, Farzin  (author)
Publication Date: 2017
DOI: 10.1111/jph.12593
Handle Link: https://hdl.handle.net/1959.11/22297
Abstract: Common 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.
Publication Type: Journal Article
Source of Publication: Journal of Phytopathology, 165(9), p. 563-574
Publisher: Wiley-Blackwell Verlag GmbH
Place of Publication: Germany
ISSN: 1439-0434
0931-1785
Fields of Research (FoR) 2008: 070104 Agricultural Spatial Analysis and Modelling
090903 Geospatial Information Systems
050101 Ecological Impacts of Climate Change
Fields of Research (FoR) 2020: 300206 Agricultural spatial analysis and modelling
401302 Geospatial information systems and geospatial data modelling
410102 Ecological impacts of climate change and ecological adaptation
Socio-Economic Objective (SEO) 2008: 960501 Ecosystem Assessment and Management at Regional or Larger Scales
960303 Climate Change Models
960305 Ecosystem Adaptation to Climate Change
Socio-Economic Objective (SEO) 2020: 180403 Assessment and management of Antarctic and Southern Ocean ecosystems
190501 Climate change models
190102 Ecosystem adaptation to climate change
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

33
checked on Nov 11, 2023

Page view(s)

1,474
checked on Nov 12, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.