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ویرایش: نویسندگان: Manish K. Pandey (editor), Alison Bentley (editor), Haile Desmae (editor), Manish Roorkiwal (editor), Rajeev K. Varshney (editor) سری: ISBN (شابک) : 9819946727, 9789819946723 ناشر: Springer سال نشر: 2024 تعداد صفحات: 276 [272] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 7 Mb
در صورت تبدیل فایل کتاب Frontier Technologies for Crop Improvement (Sustainability Sciences in Asia and Africa) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب فن آوری های مرزی برای بهبود محصول (علوم پایداری در آسیا و آفریقا) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface to the Series Preface Contents Editors and Contributors Chapter 1: Introduction: Frontier Technologies for Crop Improvement 1.1 Introduction 1.2 Linking of Genebank to Breeding and Food Security 1.3 Bioinformatics for Plant Genetics and Breeding Research 1.4 Evolution in the Genotyping Platforms for Plant Breeding 1.5 Rapid Generation Advancement for Accelerated Plant Improvement 1.6 Multi-Omics for Crop Improvement 1.7 Sequence-Based Breeding for Crop Improvement 1.8 Forward Breeding for Efficient Selection 1.9 Genomic Selection in Crop Improvement 1.10 Genetic Engineering: A Powerful Tool for Crop Improvement 1.11 Summary and Outlook References Chapter 2: Linking of Genebank to Breeding and Food Security 2.1 Introduction 2.2 Ex Situ PGR Conservation 2.2.1 Seed Genebank 2.2.2 Field Genebanks and in Vitro Conservation 2.2.3 Cryopreservation 2.2.4 DNA Banking 2.3 Safety Duplication 2.4 Germplasm Exchange 2.5 Discovering Climate-Resilient Germplasm 2.5.1 Germplasm Diversity and Trait-Specific Subsets 2.5.2 Focused Identification of Germplasm Strategy (FIGS) 2.5.3 Molecular Characterization and Trait Discovery 2.5.4 Contribution of Plant Genetic Resources for Global Food Security and Nutrition, and Environmental and Economic Benefits 2.6 Access to Genebank Collection 2.6.1 The International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA) 2.6.2 Article 15 of ITPGRFA 2.7 Summary References Chapter 3: Bioinformatics for Plant Genetics and Breeding Research 3.1 Introduction 3.2 Understanding Genetic Diversity and Trait Mapping 3.3 Identification and Understanding Key Genes Using Multi-Omics Approaches 3.4 Evolution of Sequencing Technologies and Tools 3.5 Approaches for Development of Genome and Pangenome Assemblies 3.6 Bioinformatics Tools Used in K-Mer Analysis 3.7 Artificial Intelligence 3.8 Identification of Superior Haplotype for Crop Improvement 3.9 Genome Editing 3.10 Major Challenges in Bioinformatics 3.11 Future Prospective and Conclusions References Chapter 4: Evolution in the Genotyping Platforms for Plant Breeding 4.1 Introduction 4.2 Genotyping Scenarios in Plant Breeding 4.3 Molecular Markers Systems in Crop Genetics and Breeding 4.4 Application of NGS for Developing Genotyping Platforms 4.4.1 First- and Second-Generation SNP Chips 4.4.2 Sequencing-Based Second Generation of Crop Genotyping Platforms 4.4.3 Flexible Genotyping Systems for Gene Tagging 4.5 Conclusion and Prospects References Chapter 5: Rapid Generation Advancement for Accelerated Plant Improvement 5.1 Introduction 5.2 Shuttle Breeding 5.3 Doubled Haploid 5.4 Speed Breeding 5.5 Implementing Speed Breeding in CGIAR 5.6 MAS and Genomic Selection 5.7 Genome Editing References Chapter 6: Multiomics for Crop Improvement 6.1 Introduction 6.2 High-Throughput Genomic Sequencing, Pangenomics and Epigenomics for Crop Improvement 6.2.1 Pangenomics 6.2.2 Epigenomics 6.3 Transcriptomics: RNAseq to Regulatory Networks for Crop Improvement 6.4 Proteomics: An Integral Part of Functional Omics Approach for Crop Improvement 6.5 Metabolomics: Metabolic Readout of the Functional Gene for Crop Improvement 6.6 Phenomics Facilitates Crop Improvement 6.7 Systems Biology and Bioinformatics Approach for Crop Improvement 6.8 Data Integration 6.9 Systems Modelling 6.10 Conclusion and Future Perspectives References Chapter 7: Sequence-Based Breeding for Plant Improvement 7.1 Introduction 7.2 Sequencing-Based Trait Mapping 7.2.1 Trait Mapping through Pooled Sequencing-Based Approach 7.2.2 Trait Mapping through Sequencing of Complete Populations 7.3 Sequencing-Based Breeding 7.3.1 Selection of Lines through Fixed Arrays 7.3.2 Selection of Lines through Sequencing References Chapter 8: Forward Breeding for Efficient Selection 8.1 Introduction 8.2 Genomic Resources and Forward Breeding in Wheat 8.3 Genomic Resources and Forward Breeding in Potato 8.4 Genomic Resources and Forward Breeding in Groundnut 8.4.1 Genomic Resources in Modern Era 8.4.2 Reference Genomes Assemblies 8.4.3 Whole-Genome Resequencing and Genome-Wide Markers 8.4.4 Gene Expression Atlas 8.4.5 Rapid and Cost-Effective Genotyping Assays 8.4.6 Sequencing-Based Trait Mapping 8.4.7 Genomics-Assisted Breeding to Accelerate Groundnut Breeding 8.5 Genomic Resources and Forward Breeding in Vigna Species 8.5.1 Cowpea 8.5.2 Mung Bean 8.5.3 Black Gram 8.6 Future Prospects References Chapter 9: Genomic Selection in Crop Improvement 9.1 Introduction 9.2 Basics of GS 9.3 Methodology of GS 9.3.1 Designing Training Population (TP) 9.4 Statistical Tools and Models Adopted in GS 9.4.1 Prediction Methods for Additive Genetic Effects 9.4.1.1 GS Based on a Single Trait Linear Regression Model Ridge Regression Best Linear Unbiased Prediction Least Absolute Shrinkage and Selection Operator (LASSO) Bayesian Methods Support Vector Machine (SVM) 9.4.1.2 Multi-Trait-Based GS Multivariate Regression with Covariance Estimation Multivariate Mixed-Model-Based Approach Conditional Gaussian Graphical Models 9.5 Factors Influencing GS Predictions 9.6 Part Strategy of GS 9.6.1 Two-Part Strategy 9.6.2 Multi-Part Strategy 9.7 Advantage of GS over Other Breeding Methods Using MAS 9.8 Limitations of GS 9.9 Speed GS High-Throughput Genotyping 9.10 Conclusion References Chapter 10: Genetic Engineering: A Powerful Tool for Crop Improvement 10.1 Introduction 10.2 Pandemic and GM Crops 10.3 Abiotic Stress and GM Crops 10.4 Biotic Stress and GM Crops 10.4.1 Herbicide Resistance 10.4.2 Insect Resistance 10.4.3 Virus Resistance 10.4.4 Biofortification 10.5 Technologies Exploited for the Development of GM Crops 10.5.1 Agrobacterium and Biolistic Methods 10.5.2 RNA Interference 10.5.3 Genome-Editing Technologies 10.5.3.1 Zinc-Finger Nucleases (ZFNs) 10.5.3.2 Transcriptional Activator-like Effector Nucleases (TALENs) 10.5.3.3 CRISPR/Cas Technology 10.5.3.4 New Tools for Genome Editing 10.6 Commercial GM Crops 10.7 Benefits of GM Crop Cultivation 10.8 Conclusion References URLs