Spatial pattern of Cercospora leaf spot of sugar beet in fields in long- and recently-established areas

Jessica Vereijssen, Johannes H.M. Schneider*, Alfred Stein, Michael J. Jeger

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)
18 Downloads (Pure)

Abstract

Spatial disease pattern of Cercospora beticola was characterised during natural epidemics of Cercospora leaf spot (CLS) in sugar beet. We applied linear regression and geostatistical analyses to characterise CLS spatial patterns in three field trials, in long-established and recently-established CLS-areas, during two consecutive years. Linear regression showed a positive influence of average disease severity of within-row neighbouring plants (0.38 < β̂1 < 0.88). Semi-variograms modelled the spatial dependence of disease severity for two directions per week in both years. Disease severity displayed strong spatial dependence over time. The within-row spatial dependence was the largest, but across-row dependence was irregular and weaker. Both long- and recently established areas showed strong spatial dependence of disease severity within row, decrease in variability between years and within the second trial year and a relation between β̂ 1 and the relative nugget. Observed differences were more field than area specific. These spatial and temporal analyses indicated that disease severities of adjacent plants were dependent; hence, we concluded that C. beticola is dispersed mainly over short distances from plant to plant.

Original languageEnglish
Pages (from-to)187-198
Number of pages12
JournalEuropean Journal of Plant Pathology
Volume116
Issue number3
DOIs
Publication statusPublished - Nov 2006

Keywords

  • Beta vulgaris
  • Semi-variogram analysis
  • ADLIB-ART-2502
  • EOS
  • ITC-ISI-JOURNAL-ARTICLE
  • 2024 OA procedure

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