Control of phoma stem canker in oil rapeseed crops typically depends on cultivars resistant to L. Maculans, the virus that causes it. Recently, virus populations have overcome resistance, causing serious canker outbreaks in Australia and Europe. There is an urgent need to find sources of resistance to L. maculans. This book synthesizes studies in management of resistance genes control L. maculans, and will stimulate further research on this important model system.
This is the first volume to be published under a new series agreement for Recent Advances in Phytochemistry, co-published with the Phytochemical Society of North America.
This book deals with the various aspects viz., the disease, geographical distribution, symptoms on different hosts, host range, yield losses, and disease assessment method, while detailed description on pathogen include taxonomic position, phylogeny, variability, sporulation, perpetuation, and spore germination, host-parasite interactions in the form of seed infection, disease cycle, process of infection, and pathogenesis, epidemiology, forecasting, fine structures, biochemical changes, and phytotoxins, host defence mechanism, techniques to study host-parasite relationships, and management practices including cultural, chemical, biological control practices, and deployment of host resistance. The last section deals with gaps in our understanding, and knowledge about management of these diseases, techniques for the diagnosis of disease and offer suggestions for future research priorities. Each aspect has been vividly illustrated with photographs, histograms, figures, tables, electron micrographs for stimulating, effective and easy reading and understanding. We are sure that this comprehensive encyclopaedic treatise on "Alternaria diseases of crucifers” will be of immense use to the researchers, teachers, students and all others who are interested in the diagnosis and management of Alternaria diseases of crucifers world over. Four species of Alternaria are wide spread and most devastating on cruciferous oil yielding crops, vegetables, forage crops, ornamental plants, and numerous weeds all over the world. The damage to the plants is in the form of infections on seed in the soil during sowing, on seedlings during emergence and growth, on stem, leaves, inflorescence, pods and finally to the seed causing yield losses in seed quantity and quality.
Molecular mycology has been playing a pivotal role in 21st century. It is emerging with full impact. It is multi-disciplinary and includes molecular markers, recombinant DNA techniques, cloning, phylogeny and bioinformatics. Varying in application of concepts, practice, scale, style and substance, molecular mycology is amongst the latest globalising frontiers of the corporate world. This branch is being regarded as a core subject in many colleges and universities. In the book, various topics on molecular mycology are uniquely combined to provide a complete overview of the subject. The book addresses the role of molecular and bioinformatics tools in solving the problems of identification of fungi and discusses current trends in Molecular Mycology.
Vegetable Diseases focuses primarily on diseases that are caused by pathogens. Chapters dealing with the general principles of the causes, diagnosis and control of vegetable crop diseases are followed by crop-based chapters. Each disease entry includes a brief introduction to the disease, detailed description of disease symptoms, information on the pathogen and disease development, and suggestions on how to manage the problem. Top quality color photos illustrate the book throughout. This book will be useful to a range of professionals including research and extension plant pathologists; diagnosticians and plant lab personnel; teachers of agriculture and related subjects; university students in agriculture and related fields; commercial farmers, vegetable producers, and farm managers; agriculturalists in the fields of seed production, vegetable breeding, agrichemicals, pest control, marketing, and other subjects; government and regulatory persons dealing with agriculture; serious gardeners and hobbyists. Crop based organisation for easy diagnosis High quality color photos 444 color illustrations, 5 tables
Soilborne microbial plant pathogens including oomycetes, fungi, bacteria and viruses cause several economically important destructive diseases and the symptoms of infection can be recognized only after the pathogen has invaded many tissues primarily vascular tissues of susceptible plants. This condition places formidable challenges in investigating different aspects of host-microbial pathogen interactions. Early detection of infection and precise identification, differentiation, and quantification of the microbial plant pathogens in plants, soil and water sources are essential requirements for development of effective tactics to reduce the incidence and spread of the diseases caused by them. As the microbial plant pathogens differ in their virulence and sensitivity to the environment and chemicals applied, it is imperative to assess the extent of variability in the concerned pathogens. This first volume of a two-volume set introduces disease-causing microorganisms including oomycetes, fungi, bacteria, and viruses found in soils. It focuses on the biology, detection, and identification of soilborne bacterial, fungal, and viral plant pathogens. This volume discusses various techniques based on biological, immunological and genetic properties of the pathogens indicating their advantages and limitations for selecting the appropriate technique to fulfill the requirements. Features: Presents techniques useful for detection, identification, quantification of microbial plant pathogens in plants, soil, and irrigation water from waterbodies. Highlights subversive activities of viruses, resulting in the breakdown of host defense systems. Discusses RNA silencing in infected plants by viruses and posttranscriptional gene silencing (PTGS) functioning as an endogenous mechanism in plants against virus infection. Presents information on methods of assessment of genetic variability and sensitivity of microbial plant pathogens to chemicals and adverse environmental conditions.
Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.
