Intro
Preface
Contents
Chapter 1: Soybean: A Key Player for Global Food Security
1.1 Introduction
1.2 Toward Soybean Cultivation: Past and Present Conditions
1.3 Indispensable Importance of Soybean
1.3.1 An Overall Glimpse
1.3.2 Critical See-Through
1.3.2.1 Protein Content
1.3.2.2 Soy Oil
1.3.2.3 Carbohydrates
1.3.2.4 Vitamins and Minerals
1.3.2.5 Fibers
1.3.2.6 Antioxidants
1.3.2.7 Miscellaneous
1.4 Soybean Production: International Scenario
1.5 Issues in Soybean Production
1.6 Soybean: A Strong Candidate for Nutritional Security

1.7 Conclusion
References
Chapter 2: Dissection of Physiological and Biochemical Bases of Drought Tolerance in Soybean (Glycine max) Using Recent Phenomics Approach
2.1 Introduction
2.2 Phenomics Approach for Drought Tolerance in Soybean
2.2.1 Digital Imaging
2.2.2 Visible and Infrared (IR) Imaging
2.2.3 NIR Spectroscopy and Spectral Reflectance
2.2.4 Fluorescence Imaging
2.2.5 Spectroscopy Imaging
2.3 Physiological and Biochemical Bases and Molecular Understanding of Drought Tolerance
2.3.1 Canopy Temperature
2.3.2 Chlorophyll Fluorescence

2.3.3 Root System Architecture (RSA) and Anatomy
2.3.4 Signal Perception and Transduction
2.3.5 Expression of Drought-Specific Proteins
2.3.6 Drought Tolerance in Soybean: Transgenics/CRISPR-Cas9
2.3.7 CRISPR/Cas Genome-Editing System
2.3.8 Genome-Editing Approaches and Drought Tolerance
2.4 Summary and the Way Forward
References
Chapter 3: Soybean Improvement for Waterlogging Tolerance
3.1 Introduction
3.2 Waterlogging Stress and the Tolerance Mechanisms in Soybean
3.3 Phenotyping for Waterlogging Tolerance
3.4 Conventional Breeding Approaches for Improvement

3.5 Molecular Breeding Approaches for Improvement
3.5.1 QTL Mapping for Flooding Tolerance
3.5.2 Genome-Wide Association Mapping for Flooding Tolerance
3.5.3 Transcriptomic Approaches to Develop Waterlogging Tolerance
3.6 Recent Concepts and Strategies Developed
3.7 Conclusions and Future Perspectives
References
Chapter 4: Salinity Tolerance in Soybeans: Physiological, Molecular, and Genetic Perspectives
4.1 Introduction
4.2 Physiological Perspectives
4.3 Molecular Perspectives
4.4 Genetic Perspectives
4.5 Conclusion
References

Chapter 5: Utility of Network Biology Approaches to Understand the Aluminum Stress Responses in Soybean
5.1 Introduction
5.2 Material and Methods
5.2.1 Bootstrap Support Vector Machine-Recursive Feature Elimination Technique (Boot-SVM-RFE)
5.2.2 Gene Co-expression Network Analysis
5.2.3 Statistical Approach for Identification of Hub Genes
5.2.4 Algorithm
5.3 Results
5.3.1 Selection of Informative Genes for Al Stress in Soybean
5.3.2 Functional Analysis of Selected Genes for Al Stress in Soybean
5.3.3 Gene Co-expression Network Analysis for Al Stress in Soybean