Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems

Dossa, Gerbert S. and Sparks, Adam and Vera Cruz, Cassiana and Oliva, Ricardo (2015) Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems. Frontiers in Plant Science, 6 (Article 305). pp. 1-5.

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Abstract

Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice-Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher. Creative Commons Attribution License.
Faculty / Department / School: Current - Institute for Agriculture and the Environment
Date Deposited: 09 Oct 2016 23:04
Last Modified: 04 Jan 2017 03:56
Uncontrolled Keywords: customized deployment, forward breeding, TAL effectors, R-genes, genome editing
Fields of Research : 06 Biological Sciences > 0607 Plant Biology > 060704 Plant Pathology
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070308 Crop and Pasture Protection (Pests, Diseases and Weeds)
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding)
Identification Number or DOI: 10.3389/fpls.2015.00305
URI: http://eprints.usq.edu.au/id/eprint/29827

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