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Bioinformatics for Crop Improvement: From Data Analysis to Practical Applications

Bioinformatics for Crop Improvement: From Data Analysis to Practical Applications

Paperback

Agriculture

PREORDER - Expected ship date August 2, 2027

ISBN10: 0443448418
ISBN13: 9780443448416
Publisher: Academic Press
Published: Aug 2 2027
Pages: 350
Weight: 0.99
Language: English
Bioinformatics for Crop Improvement: From Data Analysis to Practical Applications is an in-depth exploration of how computational tools and multi-omics data analysis are impacting crop development. Covering foundational concepts, advanced techniques, and practical applications, the book examines crop traits, disease resistance, and stress tolerance. It offers a structured exploration of strategies for crop improvement and sustainability and deep dives into bioinformatics for global food security and agricultural resilience. It goes over critical bioinformatics techniques and tools such as genome assembly, functional genomics, structural modeling, and genome editing technologies. Essentially, this book provides cutting-edge bioinformatics approaches in agriculture, emphasizing their crucial role in addressing future food security challenges and promoting sustainable farming practices worldwide. The book is organized into four main sections, each comprising several chapters that systematically build on each other. The first section introduces the fundamentals of bioinformatics in crop science, including data generation, management, and analysis of genomics, transcriptomics, proteomics, and metabolomics. The chapters after that look into key bioinformatics techniques and tools, covering genome assembly, functional genomics. The third section focuses on practical applications, including disease resistance, abiotic stress tolerance, nutritional enhancement, plant-microbiome interactions, and epigenetic regulation. It demonstrates how bioinformatics-driven research is directly contributing to developing resilient, nutritious, and sustainable crop varieties. The final section emphasizes bioinformatics approaches for sustainable agriculture, including genome-wide association studies, precision phenotyping, machine learning, big data integration, and future challenges in the field. Designed for a broad audience, this book is useful for students and researchers in the fields of plant biology, bioinformatics, genomics, and agricultural sciences who are engaged in crop improvement and sustainable agriculture. It also serves as a valuable resource for breeders, biotechnologists, policymakers, and industry stakeholders involved in developing crop varieties. Its comprehensive coverage, case studies, and supplementary materials make it a valuable reference for advancing knowledge and application in crop bioinformatics.

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