The Epidemiology of Plant Diseases (Paperback, 2, 2006)

Contributors. Preface. Part 1: Principles and Methods. 1. Plant disease diagnosis; R.T.V. Fox, H.P. Narra. 1.1 Introduction. 1.2 Choice of diagnostic. 1.3 Diagnosis by conventional techniques. 1.4 Use of immunological reactions. 1.5 Methods based on the nucleic acids of pathogens. 1.6 Future trends in diagnosis. References. 2. Disease assessment and yield loss; B.M. Cooke. 2.1 Introduction. 2.2 Why assess disease and yield loss in plants? 2.3 Methods used in sampling plants for disease. 2.4 Timing and frequency of disease assessment. 2.5 Methods of disease assessment. 2.6 Assessment of yield loss. 2.7 Conclusions and future developments. References. 3. Surveys of variation in virulence and fungicide resistance and their application to disease control; J.K.M. Brown. 3.1 Introduction. 3.2 Characterizing individual pathogens. 3.3 Populations and samples. 3.4 Molecular detection of virulence and fungicide resistance. 3.5 Characterizing pathogen populations. 3.6 Applications of pathogen survey data. 3.7 Dissemination of survey results. 3.8 Pathogen surveys and disease management. Acknowledgement. References. 4. Infection strategies of plant parasitic fungi; C. Struck. 4.1 Introduction. 4.2 The pre-penetration phase. 4.3 Entering the plant tissue. 4.4 Strategies for colonizing the host tissue. 4.5 Concluding remarks. References. 5. Epidemiological consequences of plant disease resistance; M.L. Deadman. 5.1 Introduction. 5.2 Horizontal resistance. 5.3 Vertical resistance. 5.4 Cultivar mixtures. 5.5 Induces resistance. 5.6 Non-host immunity. 5.7 Tolerance. References. 6. Dispersal of foliar plant pathogens: mechanisms, gradients and spatial patterns; H.A. McCartney et al. 6.1 Introduction 6.2 Underlying mechanisms: spore dispersal. 6.3 Spore deposition and disease gradients. 6.4 Disease spread: modeling developments of foci. 6.5 Conclusions. Acknowledgements. References. 7. Pathogen population dynamics; M.W. Shaw. 7.1 Introduction. 7.2 The measurement of populations. 7.3 Time-scales. 7.4 Changes in population. 7.5 Density-dependent and density-independent factors. 7.6 Short-term change in a static host population. 7.7 Affected host tissue and pathogen multiply at comparable rates. 7.8 Changes over time-scales longer than either crop or pathogen. 7.9 Spatial population structure. Appendix 7A. References. 8. Modelling and interpreting disease progress in time; X. Xu. 8.1 Introduction. 8.2 General considerations. 8.3 Analysing individual epidemics. 8.4 Reducing data dimension. 8.5 Comparing epidemics. 8.6 Concluding remarks. References. 9. Disease forecasting; N.V. Hardwick. 9.1 Introduction. 9.2 What is forecasting? 9.3 Polycyclic and monocyclic diseases. 9.4 Equipment. 9.5 Forecasting schemes. 9.6 Potatoes. 9.7 Cereals. 9.8 Oilseed rape. 9.9 Conclusions. References. 10. Diversification strategies; M.R. Finckh, M. Wolfe. 10.1 Introduction. 10.2 Definitions. 10.3 Benefits from spatial diversification: small-scale. 10.4 Benefits of diversification in time (crop rotation). 10.5 Diversity and interactions. 10.6 Responses of pest and pathogen populations to diversification strategies. 10.7 Diversification strategies in practice. 10.8 Conclusions. References. 11. Epidemiology in sustainable systems; R.J. Cook, D.J. Yarham. 11.1 Introduction. 11.2 Inoculum. 11.3 Disease development. 11.4 Control strategies. 11.5 Conclusions. Acknowledgement. References. 12. Information technology in plant disease epidemiology; A. Newton et al. 12.1 Introduction. 12.2 Definition of information technology in plant disease epidemiology. 12.3 The world according to 'Google'. 12.4 Real world data capture.