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3 produkter
3 produkter
Inbunden, Engelska, 2024
736 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2025
1 917 kr
Skickas inom 5-8 vardagar
This book is the first of the two volumes and it focuses on exploring the meta-omics integrative techniques to enhance crop productivity, resilience and quality. With information on metagenomics, metatranscriptomics, metaproteomics and metabolomics, this volume provides an understanding of soil microbial communities and their interactions with crops. The chapters delve into specific techniques and tools within each meta-omics discipline, offering insights into their roles in crop improvement. From detecting plant pathogens to enhancing traits like stress resistance and nutritional quality, the book addresses modern agricultural challenges. It also tackles issues such as data integration and accessibility, while exploring future directions and real-world case studies that illustrate the impact of meta-omics on agriculture. Particular attention is given to deciphering microbiomes for various applications, with dedicated chapters on the core plant microbiome and tools and techniques of meta-transcriptomic studies. Readers will find details of methodologies that contribute to understanding complex microbial communities and their interaction with crops..This essential resource is designed for researchers, scholars, and practitioners in the fields of agriculture, microbiology, and biotechnology.
Inbunden, Engelska, 2026
1 926 kr
Skickas inom 10-15 vardagar
This second volume on meta-omics technologies brings together the rapidly growing facets of this discipline, focusing on its application in crop improvement. By integrating metagenomics, metatranscriptomics, metaproteomics, and metabolomics, it aims to document progress and the integration of meta-omics technologies in crop research, showcasing case studies and applications while examining wider consequences of implementing meta-omics in agriculture. This book features chapters discussing a range of applications of these methods across diffenet crops, including rice, wheat, legumes, fibre crops, tobacco, soybean, horticultural crops, microalgae and cyanobacteria. A chapter focused on the integration of machine learning in metagenomics highlights the possibilities and obstacle;es in predictive modeling , big data analysis and functional annotation. Collectively, these chapters demonstrate both the scientific diversity of these approaches' applications across various crops and settings, as well as the forward-thinking consequences for enhancing crop developmentResearchers in the field of agricultural science, as well as practitioners interested in sustainable crop production, will find this volume invaluable. It offers a comprehensive understanding of how meta-omics can be harnessed to address pressing agricultural challenges, making it a must-read for anyone committed to advancing global food security and sustainable agriculture.