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University of Saskatchewan

FACTORS INFLUENCING A PETAL-BASED FORECASTING SYSTEM FOR SCLEROTINIA STEM ROT OF CANOLA

Abstract

dc:description.abstract

Studies from 1987 to 1990 investigated the influence of the following factors on the relationship between the percentage of canola petals infested with Sclerotinia sclerotiorum and the incidence of sclerotinia stem rot: canopy density; diurnal and other weather­ mediated fluctuations in petal infestation; and long-term changes in infestation during flowering. Disease incidence was significantly related to canopy density,as indicated by percentage light penetration through the canopy, and increased as light penetration decreased. Higher disease incidence in the denser canopies was attributed to more favorable micro environmental conditions. A general pattern of increasing petal infestation from morning to afternoon was observed in 1987 and 1988. Infestation was found to be significantly higher during the afternoon than the morning in 4 of 7 crops. Increases from morning to afternoon ranged from 0.3 to 46%; reductions ranging from 0.5 to 14%were also observed on a few days. The pattern in petal infestation probably resulted from periodicity in ascospore discharge related to several environmental factors. Long-term fluctuations of up to 94% petal infestation were observed during flowering. These changes were mostly increases; however, in 1989, infestation generally decreased during flowering. These changes were related to variation in rainfall which influenced inoculum production. In general,disease incidence was significantly related to petal infestation at flowering stages when the presence of inoculum coincided with favorable host and environmental conditions. Multiple regression analyses with infestation atearly, full and late bloom, light penetration,leaf area index and crop height as independent variables accounted for 55-98% of the variation in disease incidence. For practical on-farm disease forecasting, long-term changes in petal infestation may be more important than diurnal fluctuations for determining disease risk and incidence. However, as a precaution against underestimating infestation, petals should be sampled in the afternoon and not after substantial rain fall or dew. Sampling petals more than once during flowering will be essential to account for long-term variations in infestation. The influences of the host and environment are also important; however, assessing their effect may be difficult, especially for on-farm disease forecasting.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (Ph.D.)
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Biology
Grantor
University of Saskatchewan
Year dc:date.issued
1991

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Turkington, Thomas Kelly
Advisor dc:contributor.advisor
  • Morrall, R.A.A.

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10388/12178
OAI identifier oai:identifier
oai:harvest.usask.ca:10388/12178

Chain of custody

source
Harvested from
University of Saskatchewan
Base URL
harvest.usask.ca/server/oai/request
Last updated
2026-07-24
Source record
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citation

Turkington, Thomas Kelly. FACTORS INFLUENCING A PETAL-BASED FORECASTING SYSTEM FOR SCLEROTINIA STEM ROT OF CANOLA. Doctoral thesis, University of Saskatchewan, 1991. https://hdl.handle.net/10388/12178