Improving the Cercospora leaf spot management model for sugar beet in Minnesota and North Dakota

J. Khan, L. E. Del Río, R. Nelson, M. F.R. Khan

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Management of Cercospora leaf spot, caused by Cercospora beticola, is necessary for the economic production of sugar beet (Beta vulgaris). The objectives of this study were to evaluate the impact of two relative humidity thresholds (87 and 90%) on the daily infection values (DIVs) used to determine when fungicide applications were required, to determine whether current Cercospora management recommendations for northern areas of Minnesota and North Dakota could be used by growers in the southern areas of these states, and to compare the utility of calendar-based fungicide applications with the Cercospora management model. Research was con-ducted in Breckenridge, MN and St. Thomas, ND in 2003 and 2004. Fungicide applications significantly (P = 0.05) reduced maximum disease severity (ymax) and area under the disease progress curve (AUDPC) when compared with the nontreated control at both locations during 2003 and 2004. Fungicides applied according to DIVs calculated at RH ≥ 87% or RH > 90% gave similar results. The mandatory second fungicide application 14 days after the first application for southern areas did not significantly decrease disease severity or AUDPC, or improve root yield or recoverable sucrose compared with treatments without the mandatory application. This research illustrates that a DIV calculated at RH ≥ 87% would result in similar timing of fungicide applications compared with DIVs calculated at RH > 90%. The results further show that the recommendation of fungicide applications at initial symptom and subsequent applications based on DIV and disease severity should be used for both northern and southern growers. Finally, this research showed that fungicide applications based on the Cercospora management model provided similar, effective disease control with fewer fungicide applications compared with calendar-based applications.

Original languageEnglish (US)
Pages (from-to)1105-1108
Number of pages4
JournalPlant disease
Volume91
Issue number9
DOIs
StatePublished - Sep 2007
Externally publishedYes

Keywords

  • Data loggers
  • Epidemiology
  • Polycyclic
  • Temperature

Fingerprint

Dive into the research topics of 'Improving the Cercospora leaf spot management model for sugar beet in Minnesota and North Dakota'. Together they form a unique fingerprint.

Cite this