Synopses & Reviews
Plant disease epidemiology is a dynamic science that forms an essential part of the study of plant pathology. This book brings together a team of 35 international experts. Each chapter deals with an essential component of the subject and allows the reader to fully understand how each exerts its influence on the progress of pathogen populations in plant populations over a defined time scale. Since the first edition of the text was published in 1998, many new developments have occurred in the subjects covered, particularly molecular diagnostics, modelling, fungicide resistance and information technology. The second edition of the book is a comprehensive text on all aspects of plant disease epidemiology that should serve as an invaluable reference work for those involved in this fascinating science of crop plants.
Review
From the reviews of the second edition: "This second edition contains updated and new contributed chapters in the same format as the first edition ... . The topics covered understandably have a strong United Kingdom flavour, but several chapters deal with widely applicable principles and are illustrated by examples from several countries. Although plant disease epidemiology relies heavily on quantitative methods, most chapters in this book are written without a strongly mathematical slant, which will make the book attractive to the many students and researchers who are not mathematically inclined." (Rob Beresford, Plant Pathology, 2006)
Synopsis
Plant disease epidemiology is a dynamic science that forms an essential part of the study of plant pathology. This new edition details the considerable progress since the 1998 first edition, particularly molecular diagnostics, modelling, fungicide resistance and information technology. The book will serve as an invaluable reference work for those involved in this vital aspect of crop plant science.
Synopsis
Plant disease epidemiology is a dynamic science that forms an essential part of the study of plant pathology. This book brings together a team of 35 international experts. Each chapter deals with an essential component of the subject and allows the reader to fully understand how each exerts its influence on the progress of pathogen populations in plant populations over a defined time scale. This edition has new, revised and updated chapters.
About the Author
B.M. Cooke is a Professor of Plant Pathology and the Editor-in-Chief of the European Journal of Plant Pathology at the School of Biology and Environmental Science, University College Dublin, Ireland. D. Gareth Jones is an Emeritus Research Professor of the Welsh Institute of Rural Studies, Aberystwyth, Wales, UK. Bernard Kaye is a multi-media consultant in the School of Biology and Environmental Science, University College Dublin, Ireland.
Table of Contents
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. 12.5 Information accumulation or dissemination? 12.6 Bringing together disciplines. 12.7 Models, expert systems and decision support systems. 12.8 Some examples of DSS. 12.9 Disease forecasting and decision making in an information theory framework. 12.10 Where next? 12.11 Conclusions. Acknowledgements. References. Part 2: Case Examples. 13. Seedborne diseases; W.J. Rennie, V. Cockerell. 13.1 Introduction. 13.2 Epidemiology. 13.3 Case stuedies. 13.4 Future developments. References. 14. Diseases caused by soil-borne pathogens; P. Lucas. 14.1 Introduction. 14.2 The soil-borne disease epidemic. 14.3 Modelling soil-borne disease epidemiology. 14.4 Conclusion. References. 15. Wind-dispersed diseases; B. Hau, C. de Vallavieille-Pope. 15.1 Introduction. 15.2 Meteorological and biotic effects on the phases of the asexual life cycle. 15.3 Survival and sexual state. 15.4 Population dynamics. 15.5 Concluding remarks. References. 16. Environmental biophysics applied to the dispersal of fungal spores by rain-splash; L. Huber et al. 16.1 Introduction. 16.2 Removal of fungal spores by splash of single incident drops. 16.3 From a single impacting raindrop to splash droplets. 16.4 Influence of target characteristics on splash parameters. 16.5 Relevant characteristics of rainfall-canopy interactions. 16.6 Characterizing rainfall in relation to splash-dispersed pathogen diseases. 16.7 Concluding remarks. References. 17. Potato late blight; E.S.G. Mizubuti, W.E. Fry. 17.1 Introduction. 17.2 Population biology of P. infestans. 17.3 Pathogen biology. 17.4 Late blight management. 17.5 Concluding remarks. References. 18. Apple scab: role of environment in pathogen and epidemic development; A.L. Jones, G.W. Sundim. 18.1 Introduction. 18.2 Aetiology of apple scab. 18.3 Predicting apple scab risk based on the physical environment. 18.4 Predicting apple scab risk based on primary inoculum levels. 18.5 Summary. Acknowledgement. References. 19. Onion diseases; R.B. Maude. 19.1 Introduction: world onions. 19.2 Onion diseases. 19.3 Case histories: seedborne diseases. 19.4 Case histories: foliar diseases. 19.5 Case histories: soilborne diseases. 19.6 Concluding remarks. Acknowledgements. References. 20. The recent epidemic of cassava mosaic virus disease in Uganda; G.W. Otim-Nape, J.M. Thresh. 20.1 Introduction. 20.2 Cassava and cassava mosaic disease in Africa. 20.3 Cassava and cassava mosaic disease in Uganda. 20.4 The 1990s epidemic in Uganda. 20.5 General epidemiological features of cassava mosaic disease. References. Index.