Predicting variability in biological control of a plant—pathogen system using stochastic models

Author:

Gibson G. J.1,Gilligan C. A.2,Kleczkowski A.23

Affiliation:

1. Biomathematics & Statistics Scotland, James Clerk Maxwell Building, The King's Buildings, Mayfald Road, Edinburgh EH9 3JZ, UK

2. Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 SEA, UK

3. King's College, Cambridge CB21ST, UK

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference20 articles.

1. Anderson R. M. & May R. M. 1992 Infectious diseases of humans: dynamics and control. Oxford University Press.

2. Bailey D. J. & Gilligan C. A. 1997 Biological control of pathozone behaviour and disease dynamics of Rhizoctonia solani by Trichoderma viride. New Phytologist 136 359^367.

3. Barndor¡-Nielsen O. E. & Cox D. R. 1994 Inference and asymptotics. ondon: Chapman & Hall.

4. Deacon J. W. 1980 Introduction to modern mycology. In Basic microbiology vol. 7. Oxford UK: Blackwell Science.

5. Edwards A. W. F. 1992 Likelihood. Baltimore MD: The Johns Hopkins University Press.

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