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Diseases of Field Crops: Diagnostics and Management

Editat de Vaibhav Kumar Singh, Jameel Akhtar, Krishna Pratap Singh
en Limba Engleză Hardback – 17 oct 2024
This edited book is a compilation of the chapters on the recent advances made in the field of disease management in various field crops. It covers host resistance, regulatory mechanism as well as non-chemical methods and computer-based applications in disease management. Molecular marker assisted selection, proteomic approaches, CRISPR-Cas mediated technology to improve food quality and minimize negative public health impact associated with crop diseases is also discussed. Plant diseases continue to be major challenge to global crop production, especially field crops, inflicting not only crop yield losses to farmers, but also decline quality as well as nutritional value leading threat to global food security. According to FAO statistics, there is a need of 70% steady increase in agricultural production to fulfil the food requirements of 9.1 billion populations by 2050, and annual global crop losses due to pests and diseases have been estimated to be about 30%. Therefore, the book aims at bringing out a comprehensive information on field crop diseases, plant disease detection and diagnosis, monitoring, forecasting/forewarning, and management. The book is very useful for students, teachers, researchers, planners/administrators, and also the end users at national and international level.
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Specificații

ISBN-13: 9789819761593
ISBN-10: 981976159X
Ilustrații: XXV, 375 p. 35 illus., 15 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Part I   Diagnosis and Detection of Plant Pathogens of Field Crops.- Chapter 1. Diagnostics of Major Fungal Pathogens of Rice.- Chapter 2. Recent Developments in the Detection and Diagnosis of Fungal-Bacterial Plant Pathogens - from Lab Assay to Field Detection.- Chapter 3. Recent Advances in the Detection of Plant Viruses and Viroids in Field Crops.- Chapter 4. Multi Locus Gene Characterization of Phytoplasmas.- Chapter 5. Diagnosis of Plant Parasitic Nematodes.- Chapter 6. Diagnosis and Detection of Seed-Borne Pathogens in Field Crops.- Chapter 7. Application of Machine Learning in Plant Disease Detection and Classification.- Chapter 8. Wheat Disease Identification using Artificial Intelligence.- Part II   Management of Field Crop Pathogens / Diseases.- Chapter 9. Bakanae Disease of Rice: Current Status and Management Strategies.- Chapter 10. CRISPR Technology - Plant Disease Management.- Chapter 11. Diagnosis and Management Strategies for Soybean Diseases.- Chapter 12. Field Pea Diseases and their Management through an Integrated Approach.- Chapter 13. Major Fungal Diseases of Pulse Crops and their Management to Mitigate its Losses.- Chapter 14. Advances in Nematode Diseases Management in the Field Crops.- Chapter 15. Rhizoctonia: An Emerging Threat to Field Crops.- Chapter 16. Tapping into the Chickpea Root Microbiome for Combating Fusarium Wilt Disease.- Chapter 17. Nanoparticles Based Strategies to Enhance Plant Disease Protection Techniques of Field Crops.- Chapter 18. Molecular Marker Based Approaches for Crop Improvement.- Chapter 19. Role of ICT and Artificial Intelligence in Disease Diagnosis, Forecast and Management.- Chapter 20. Role of Plant Quarantine under the WTO-SPS Agreement.

Notă biografică

Dr Vaibhav Kumar SinghSenior Scientist, Division of Plant Pathology, ICAR- Indian Agricultural Research Institute, New Delhi (India), New Delhi 110012 (India)
Dr Jameel Akhtar, Principal Scientist, Division of Plant Quarantine, ICAR- National Bureau of Plant Genetic Resources New Delhi (India), New Delhi 110012 (India)
Dr Krishna Pratap Singh, Professor and Head, Department of Plant Pathology, GB Pant University of Agriculture & Technology, Pantnagar Uttarakhand (India), Pantnagar, US Nagar -263153, Uttarakhand (India)

Caracteristici

Provides the latest evidence-based approach in plant disease diagnosis and management Covers special chapters on CRISPR-Cas mediated technology, and artificial intelligence in plant disease identification Provides easy-to-follow algorithms and key points in each chapter