DNA of Sustainability : Genomic Insights into Food Security Challenges (Sustainability Sciences in Asia and Africa)

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  • 予約

DNA of Sustainability : Genomic Insights into Food Security Challenges (Sustainability Sciences in Asia and Africa)

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  • 製本 Hardcover:ハードカバー版/ページ数 338 p.
  • 言語 ENG
  • 商品コード 9789819551088

Full Description

This book discusses the critical role of genomics in transforming agriculture. It then extends the discussion to the concept of pan-genomes and super-pangenomes, which represent the expansive genetic diversity within entire species, crucial for uncovering new genes for crop improvement. This book presents a series of innovative case studies that illustrate the significant impact of genomic selection and trait mapping in advancing crop resilience and enhancing productivity. It showcases how next-generation sequencing has revolutionized trait discovery, allowing for the precise identification and utilization of traits that bolster plant productivity. The integration of various omics technologies, including single-cell and spatial transcriptomics, is also explored. The book also examines how big data, machine learning, and artificial intelligence are revolutionizing agriculture, offering new ways to glean predictive insights and refine breeding techniques.

This book serves as an additional reading material for undergraduate and graduate students of agriculture, biotechnology, genomics, genetics and bioinformatics. National and international agricultural scientists and policy makers will also find this to be a useful guide.

Contents

Part I: Foundations of Genomic Resources.- Chapter 1. Telomere-to-Telomere Genomes as a Foundation for Crop Improvement and Food Security.- Chapter 2. Pangenomes, super-pangenomes and beyond.- Chapter 3. Exploring genetic diversity using genomic approaches.- Chapter 4. Challenges and Opportunities for Genomic Data Resources.- Part II: Enabling Technologies and Tools.-  Chapter 5. Development of low-cost genotyping platforms.- Chapter 6. Advances in synthetic genomics (SynGen) for crop improvement and beyond.- Chapter 7. Big Data, Machine Learning, and Artificial Intelligence for Crop Improvement.- Part III: Advanced Applications in Crop Improvement.- Chapter 8. Genomic Selection for Crop Improvement in Post-NGS era.- Chapter 9. Integrated Omics Approaches to Accelerate New Strategies for Crop Improvement.- Chapter 10. Advances and Applications of Single-cell and Spatial Omics for Crop Improvement.- Chapter 11. Trait Discovery in the Post-NGS Era.- Chapter 12. Tailoring Future Crops with Genomics-Informed Gene-Editing.

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