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פותח על ידי קלירמאש פתרונות בע"מ -
A generic theoretical model for biological control of foliar plant diseases
Year:
2009
Source of publication :
Journal of Theoretical Biology
Authors :
אלעד, יגאל
;
.
Volume :
256
Co-Authors:
Jeger, M.J., Division of Biology, Imperial College London, Silwood Park Campus, Ascot, SL5 7PY, United Kingdom
Jeffries, P., Department of Biosciences, University of Kent, Canterbury, CT2 7NJ, United Kingdom
Elad, Y., Department of Plant Pathology and Weed Research, The Volcani Centre, Bet-Dagan, 50250, Israel
Xu, X.-M., Plant Pathology, East Malling Research, New Road, East Malling, ME19 6BJ, United Kingdom
Facilitators :
From page:
201
To page:
214
(
Total pages:
14
)
Abstract:
We have developed a generic modelling framework to understand the dynamics of foliar pathogen and biocontrol agent (BCA) populations in order to predict the likelihood of successful biocontrol in relation to the mechanisms involved. The model considers biocontrol systems for foliar pathogens only and, although it is most applicable to fungal BCA systems, does not address a specific biocontrol system. Four biocontrol mechanisms (competition, antibiosis, mycoparasitism and induced resistance) were included within the model rubric. Because of the wide range of mechanisms involved we use Trichoderma/Botrytis as an exemplar system. Qualitative analysis of the model showed that the rates of a BCA colonising diseased and/or healthy plant tissues and the time that the BCA remains active are two of the more important factors in determining the final outcome of a biocontrol system. Further evaluation of the model indicated that the dynamic path to the steady-state population levels also depends critically on other parameters such as the host-pathogen infection rate. In principle, the model can be extended to include other potential mechanisms, including spatio-temporal heterogeneity, fungicide effects, non-fungal BCA and strategies for BCA application, although with a cost in model tractability and ease of interpretation. © 2008 Elsevier Ltd. All rights reserved.
Note:
Related Files :
BioControl
biological control
Botrytis
epidemiology
Plant Diseases
qualitative analysis
Trichoderma
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.jtbi.2008.09.036
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
22893
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:55
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Scientific Publication
A generic theoretical model for biological control of foliar plant diseases
256
Jeger, M.J., Division of Biology, Imperial College London, Silwood Park Campus, Ascot, SL5 7PY, United Kingdom
Jeffries, P., Department of Biosciences, University of Kent, Canterbury, CT2 7NJ, United Kingdom
Elad, Y., Department of Plant Pathology and Weed Research, The Volcani Centre, Bet-Dagan, 50250, Israel
Xu, X.-M., Plant Pathology, East Malling Research, New Road, East Malling, ME19 6BJ, United Kingdom
A generic theoretical model for biological control of foliar plant diseases
We have developed a generic modelling framework to understand the dynamics of foliar pathogen and biocontrol agent (BCA) populations in order to predict the likelihood of successful biocontrol in relation to the mechanisms involved. The model considers biocontrol systems for foliar pathogens only and, although it is most applicable to fungal BCA systems, does not address a specific biocontrol system. Four biocontrol mechanisms (competition, antibiosis, mycoparasitism and induced resistance) were included within the model rubric. Because of the wide range of mechanisms involved we use Trichoderma/Botrytis as an exemplar system. Qualitative analysis of the model showed that the rates of a BCA colonising diseased and/or healthy plant tissues and the time that the BCA remains active are two of the more important factors in determining the final outcome of a biocontrol system. Further evaluation of the model indicated that the dynamic path to the steady-state population levels also depends critically on other parameters such as the host-pathogen infection rate. In principle, the model can be extended to include other potential mechanisms, including spatio-temporal heterogeneity, fungicide effects, non-fungal BCA and strategies for BCA application, although with a cost in model tractability and ease of interpretation. © 2008 Elsevier Ltd. All rights reserved.
Scientific Publication
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