Canola Digest 2016 Science Issue
Science

Real-time diagnosis in the field

Key Result: Researchers were able to develop and validate nine real-time qPCR assays targeting eight different phytoplasma (aster yellows) species along with P. brassicae (clubroot) and L. maculans (blackleg). This project provides tools for producers and regulators to obtain timely information on plant disease prevalence and spread, which will aid efforts to contain and control...
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Science

Ideal seeding speed depends on drill, conditions

An even seeding depth across all rows will improve canola uniformity and seed survival, but the seeding speed to achieve this consistency will depend on the drill, soil type and field conditions. It helps to run your own tests.

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Science

Bertha armyworm monitoring system still works

Key result: The current system for monitoring potential bertha armyworm outbreaks is based on a pheromone trap network developed in the 1970s (Steck et al. 1979) and improved in the 1980s (Struble et al. 1984). This study tested the efficiency of this system in the context of current canola production and determined the monitoring and...
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Science

Economize on fungicide through rapid detection of sclerotinia

Key Result: Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, is commonly managed by routine application of fungicides, typically without any indication of disease risk. Through this study, a quantitative polymerase chain reaction (qPCR)-based assay was developed to measure S. sclerotiorum DNA in canola petals, enabling rapid and accurate estimates of infestation levels when timely fungicide...
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