Detection and description of spatial patterns of bacterial brown spot of snap beans using cyclic samples

B. D. Hudelson, M. K. Clayton, K. P. Smith, C. D. Upper

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Snap bean plants within seven-row segments that ranged from 65 to 147 m were sampled, using a cyclic sampling plan. In the cyclic sampling plan, only 6 of every 31 plants were sampled, but sampled plants were spaced such that pairs of plants that were 1, 2, 3, 4,..., 1,525 plants apart could be identified within each sample. Every leaflet on every sampled plant was assessed for bacterial brown spot, and the proportion of disease leaflets per plant was determined. Arcsine square-root-transformed disease incidence values were analyzed for spatial patterns autocorrelation and spectral analyses. Disease patterns were detected t several different scales within a single snap bean row, at distances that ranged from ~20 to ~100 m. Approximately 23 to 53% of the disease variability in the samples could be described by sine and cosine curves, indicating a substantial component of regularity in the disease patterns. Possible origins for these regular patterns, including cultural practices and seed infestation, are discussed.

Original languageEnglish (US)
Pages (from-to)33-41
Number of pages9
JournalPhytopathology
Volume87
Issue number1
DOIs
StatePublished - Jan 1997

Keywords

  • Pseudomonas syringae
  • adaptive sampling

Fingerprint

Dive into the research topics of 'Detection and description of spatial patterns of bacterial brown spot of snap beans using cyclic samples'. Together they form a unique fingerprint.

Cite this