Structure of Cercospora beticola populations in organic and conventional table beet production in New York and implications for disease management

Vaghefi, N. and Kikkert, J. and Pethybridge, S. (2016) Structure of Cercospora beticola populations in organic and conventional table beet production in New York and implications for disease management. In: 76th Annual Meeting of the Northeastern Division: The American Phytopathological Society, 19-21 Oct 2016, Ithaca, New York, USA.

Abstract

New York is the second largest producer of processing and fresh market table beet in the United States. Cercospora beticola is one of the most damaging pathogens of Beta vulgaris (sugar beet, table beet and swiss chard) worldwide, and a major limiting factor to table beet production in New York. The objective of this study was to understand the genetic diversity and structure of the C.beticola population in local table beet fields representing organic and conventional production, and investigate the presence of sexual reproduction in New York. A de novo genome assembly of C. beticola was constructed and used for identification of microsatellite loci. Eight novel microsatellite markers in addition to four previously published loci were used to genotype more than 360 isolates. The results showed significant structuring of C. beticola population in New York, and differences in the allelic and genotypic composition between production systems. The contribution of the results to better understanding the epidemiology of
Cercospora leaf spot in New York and implications for disease management are discussed.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Speech)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: No Faculty
Date Deposited: 06 Nov 2017 05:12
Last Modified: 07 Mar 2018 03:34
Uncontrolled Keywords: Cercospora beticola; table beet crops; New York
Fields of Research : 06 Biological Sciences > 0607 Plant Biology > 060704 Plant Pathology
06 Biological Sciences > 0604 Genetics > 060411 Population, Ecological and Evolutionary Genetics
Identification Number or DOI: 10.1094/PHYTO-107-2-S2.5
URI: http://eprints.usq.edu.au/id/eprint/33201

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