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Full Description
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 development
Researchers 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.
Contents
.- Chapter 1: Meta-Omics insights for Crop Improvement
.- Chapter 2: Meta-omics Synergy: Advancements, opportunities and significance in wheat improvement
.- Chapter 3: Multi-omics and meta-omics approaches for rice improvement
.- Chapter 4: Multi and Meta-omics Approaches to Unlock the Complexity of Functional Traits in Legumes
.- Chapter 5: Omics-based exploration of potential soil microorganisms for sustaining the productivity of soybean: Prospects and Challenges
.- Chapter 6: Integration of omics data and translational genomics for improvement of jute and allied fibre crops towards a sustainable future
.- Chapter 7: Metaomics and its integration with Omics: Prospects in Horticulture industry
.- Chapter 8: Harnessing Meta-omics assisted approaches for abiotic stress tolerance in legumes crops
.- Chapter 9: Metatranscriptomics-Assisted Strategies for Inducing Stress Tolerance and Crop Improvement
.- Chapter 10:Metaomics and multiomics approaches to understand desiccation and high temperature tolerance in desert succulents to identify relevant genes and pathways
.- Chapter 11:Metagenomics of extreme environments for mining relevant genes and alleles for imparting climate resilience in crops
.- Chapter 12:Impact of plant metabolomics in crop improvement
.- Chapter 13:Omics and Metaomics-Based Approaches for Enhancing Agricultural Applications of Microalgae and Cyanobacteria
.- Chapter 14:Machine Learning Integration in Metagenomics: Applications and Challenges.
