Literature DB >> 18943975

Forecasting sclerotinia disease on lettuce: toward developing a prediction model for carpogenic germination of sclerotia.

John P Clarkson, Kath Phelps, John M Whipps, Caroline S Young, Julie A Smith, Martyn Watling.   

Abstract

ABSTRACT The feasibility of developing a forecasting system for carpogenic germination of Sclerotinia sclerotiorum sclerotia was investigated in the laboratory by determining key relationships among temperature, soil water potential, and carpogenic germination for sclerotia of two S. sclerotiorum isolates. Germination of multiple burials of sclerotia to produce apothecia also was assessed in the field with concurrent recording of environmental data to examine patterns of germination under different fluctuating conditions. Carpogenic germination of sclerotia occurred between 5 and 25 degrees C but only for soil water potentials of >/=-100 kPa for both S. sclerotiorum isolates. Little or no germination occurred at 26 or 29 degrees C. At optimum temperatures of 15 to 20 degrees C, sclerotia buried in soil and placed in illuminated growth cabinets produced stipes after 20 to 27 days and apothecia after 27 to 34 days. Temperature, therefore, had a significant effect on both the rate of germination of sclerotia and the final number germinated. Rate of germination was correlated positively with temperature and final number of sclerotia germinated was related to temperature according to a probit model. Thermal time analysis of field data with constraints for temperature and water potential showed that the mean degree days to 10% germination of sclerotia in 2000 and 2001 was 285 and 279, respecttively, and generally was a good predictor of the observed appearance of apothecia. Neither thermal time nor relationships established in the laboratory could account for a decline in final percentage of germination for sclerotia buried from mid-May compared with earlier burials. Exposure to high temperatures may explain this effect. This, and other factors, require investigation before relationships derived in the laboratory or thermal time can be incorporated into a forecasting system for carpogenic germination.

Entities:  

Year:  2004        PMID: 18943975     DOI: 10.1094/PHYTO.2004.94.3.268

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  3 in total

Review 1.  Combining Desirable Traits for a Good Biocontrol Strategy against Sclerotinia sclerotiorum.

Authors:  Daphné Albert; Tim Dumonceaux; Odile Carisse; Carole Beaulieu; Martin Filion
Journal:  Microorganisms       Date:  2022-06-09

2.  Immuno-impedimetric Biosensor for Onsite Monitoring of Ascospores and Forecasting of Sclerotinia Stem Rot of Canola.

Authors:  Lian C T Shoute; Afreen Anwar; Scott MacKay; Gaser N Abdelrasoul; Donghai Lin; Zhimin Yan; Anh H Nguyen; Mark T McDermott; Manzoor A Shah; Jian Yang; Jie Chen; Xiujie S Li
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

3.  A model for Sclerotinia sclerotiorum infection and disease development in lettuce, based on the effects of temperature, relative humidity and ascospore density.

Authors:  John P Clarkson; Laura Fawcett; Steven G Anthony; Caroline Young
Journal:  PLoS One       Date:  2014-04-15       Impact factor: 3.240

  3 in total

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