Forecasting the risk of sclerotinia stem rot in crops

Chemistry: molecular biology and microbiology – Measuring or testing process involving enzymes or... – Involving viable micro-organism

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

435 29, 435 39, 435242, 435254, C12Q 102, C12Q 104, C12N 114

Patent

active

048371467

ABSTRACT:
Sclerotinia stem rot, caused by the fungus Sclerotinia sclerotiorum (L ib.) de Bary, is a major disease of rapeseed (canola) in western Canada and many other parts of the world. Significant yield losses result from severe crop infestatons. A method of stem rot disease forecasting is disclosed. The method is based on the relationship discovered between infestation of top plant parts with spores of the fungus at early bloom and subsequent disease incidence. Also disclosed are media compositions, which facilitate rapid growth of S. sclerotiorum from plant parts under non-sterile conditions and thereby permit detection of the fungus. This forecasting system allows improved disease risk assessement in advance of the need for spraying against sclerotinia stem rot.

REFERENCES:
patent: 2437766 (1948-03-01), Stevenson et al.
patent: 4456684 (1984-06-01), Weller et al.
patent: 4489161 (1984-12-01), Papavizas
patent: 4594323 (1986-06-01), Csonka et al.
patent: 4636386 (1987-01-01), Anderson et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Forecasting the risk of sclerotinia stem rot in crops does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Forecasting the risk of sclerotinia stem rot in crops, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Forecasting the risk of sclerotinia stem rot in crops will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-40248

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.