Foreword |
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xi | |
Preface |
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xiii | |
Acknowledgments |
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xv | |
Contributors |
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xvii | |
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Chapter 1 The Use of Omics Databases for Plants |
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2 | (1) |
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1.2 Information on Web Resources for Databases and Experimental Materials |
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3 | (3) |
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1.3 Genome Projects and Databases |
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6 | (1) |
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1.4 Gene Expression and Coexpressed Gene Databases |
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7 | (1) |
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1.5 Gene Ontology Databases |
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8 | (1) |
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1.6 Eukaryotic Orthologous Group Database |
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8 | (1) |
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1.7 Expressed Sequence Tags, UniGene Sequences and Full-Length cDNAs |
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8 | (1) |
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9 | (1) |
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9 | (1) |
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10 | (1) |
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1.8.3 Other Pathway Databases |
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10 | (1) |
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1.9 Advanced Technology and Methods for Large-Scale Analyses |
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10 | (1) |
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1.9.1 High-Throughput Sequencing |
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10 | (1) |
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1.9.2 Tiling Array in Arabidopsis |
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11 | (1) |
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1.9.3 Large-Scale Expression Analysis |
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11 | (1) |
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1.10 Genome Annotations and Comparative Genomics for Model Plants |
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11 | (8) |
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11 | (1) |
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1.10.1.1 The 1001 Genomes Project |
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11 | (1) |
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12 | (1) |
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1.10.1.3 Full-Length cDNA Databases |
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12 | (1) |
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12 | (1) |
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13 | (1) |
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13 | (1) |
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1.10.2.2 The MSU Rice Genome Annotation Project |
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13 | (1) |
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13 | (1) |
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13 | (1) |
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14 | (1) |
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14 | (1) |
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14 | (1) |
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15 | (1) |
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15 | (1) |
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15 | (1) |
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15 | (1) |
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16 | (1) |
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16 | (1) |
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16 | (1) |
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17 | (1) |
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17 | (1) |
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1.10.6.1 The Cucumber Genome Initiative |
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17 | (1) |
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1.10.6.2 CuGenDB and Polish Consortium of Cucumber Genome Sequencing |
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17 | (1) |
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17 | (2) |
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1.11 Goal to Global Understanding of Biological Events |
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19 | (4) |
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19 | (4) |
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Chapter 2 High-Throughput Approaches for Characterization and Efficient Use of Plant Genetic Resources |
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23 | (1) |
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2.2 Genomic Approaches to Measuring Genetic Diversity |
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24 | (1) |
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25 | (3) |
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28 | (2) |
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30 | (2) |
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32 | (10) |
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32 | (1) |
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32 | (10) |
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Chapter 3 Breeding for Sustainability Utilizing High-Throughput Genomics to Design Plants for a New Green Revolution |
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42 | (1) |
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3.2 Practicing Sustainable Agriculture |
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42 | (3) |
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3.2.1 The Concept of Sustainable Agriculture |
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42 | (1) |
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3.2.2 Issues and Potential Solutions |
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43 | (2) |
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45 | (2) |
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3.3.1 What We Have Learned |
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45 | (1) |
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46 | (1) |
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3.4 Domestication and the Future of Selection |
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47 | (4) |
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47 | (1) |
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3.4.2 Trade-Offs and Limitations |
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48 | (3) |
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51 | (2) |
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51 | (1) |
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3.5.2 Photosynthetic Rate/Capacity |
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51 | (1) |
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52 | (1) |
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53 | (1) |
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54 | (5) |
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3.7.1 Intermediate Wheatgrass |
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54 | (2) |
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56 | (1) |
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3.7.3 Sunflowers (Compositae) |
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57 | (1) |
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58 | (1) |
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59 | (1) |
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59 | (1) |
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3.8.2 Implications for Policy |
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59 | (1) |
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60 | (6) |
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61 | (5) |
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Chapter 4 Transcription Factors, Gene Regulatory Networks, and Agronomic Traits |
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66 | (6) |
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66 | (1) |
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4.1.2 TFs and the Domestication of Crops |
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67 | (1) |
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4.1.2.1 Domestication of Maize |
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68 | (1) |
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4.1.2.2 Domestication of Rice |
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68 | (1) |
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4.1.3 Examples of TFs Linked to Other Agronomic Traits |
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69 | (1) |
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69 | (1) |
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70 | (1) |
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4.1.3.3 Plant Architecture |
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70 | (1) |
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4.1.3.4 Metabolite Production |
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71 | (1) |
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4.2 From Genome Sequences to TF Collections |
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72 | (6) |
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4.2.1 General Characteristics |
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72 | (1) |
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4.2.2 Major TF Families in Grasses |
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73 | (1) |
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73 | (1) |
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74 | (1) |
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4.2.2.3 Homeodomain (HB) Family |
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74 | (1) |
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74 | (1) |
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74 | (1) |
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4.2.3 TF Databases: Monocot and Dicot |
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75 | (1) |
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75 | (1) |
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75 | (1) |
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75 | (1) |
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76 | (1) |
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76 | (1) |
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76 | (1) |
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76 | (1) |
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4.2.3.8 TRANSFAC® 7.0 Public 2005 |
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76 | (1) |
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77 | (1) |
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4.2.5 Synthetic TFs Zinc Fingers for Gene Regulation |
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77 | (1) |
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4.2.6 Use of TFs in Transgenic Crops: Potential versus Practice |
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78 | (1) |
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4.3 Promoters: Indispensable but Elusive |
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78 | (3) |
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78 | (1) |
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4.3.2 Many Promoters but Few Used |
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79 | (1) |
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4.3.2.1 Promoter Collections |
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80 | (1) |
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4.3.2.2 Tools and Databases for Promoter Analysis |
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80 | (1) |
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4.3.3 Synthetic Promoters |
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81 | (1) |
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4.4 Establishing Gene Regulatory Networks |
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81 | (2) |
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4.4.1 Tools for Establishing Gene Regulatory Networks |
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81 | (1) |
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4.4.1.1 Chromatin Immunoprecipitation (ChIP)-Based Techniques |
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82 | (1) |
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4.4.1.2 Using Fusions of TFs with the Glucocorticoid Receptor |
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82 | (1) |
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4.4.1.3 Yeast One-Hybrid Experiments |
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82 | (1) |
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4.4.1.4 Coexpression Analyses |
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83 | (1) |
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4.4.2 Gene Regulatory Networks |
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83 | (1) |
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4.5 The Complicating Issues of Heterosis and Epigenetics |
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83 | (1) |
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84 | (11) |
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85 | (10) |
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Chapter 5 Contribution of `Omics' Approaches to Sustainable Herbivore Production |
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95 | (1) |
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5.2 Principles of `Omics' Approaches |
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96 | (2) |
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5.2.1 Study of Animal Transcripts |
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97 | (1) |
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5.2.2 Study of Animal Proteins |
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97 | (1) |
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5.2.3 Study of Animal Metabolites |
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98 | (1) |
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5.3 Physiological Performance and Metabolic Efficiency |
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98 | (4) |
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98 | (1) |
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5.3.2 Regulation of Gene Expression by Nutrients |
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99 | (3) |
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5.3.3 Interactions between Tissues and Organs |
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102 | (1) |
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5.4 Limitation of Nitrogen Waste Discharge into the Environment |
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102 | (1) |
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5.5 Metabolomics to Help Mycotoxicosis Diagnosis |
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103 | (1) |
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5.6 Strategies for Improvement of the Quality of Dairy and Meat Products |
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104 | (5) |
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5.6.1 Mechanisms of Bioconversion and Stability of Long-Chain FAs |
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104 | (3) |
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5.6.2 Characterising the Qualities of Animal Products through Micronutrient Analysis |
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107 | (1) |
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5.6.3 Meat Tenderness Predictors |
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107 | (2) |
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109 | (2) |
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111 | (7) |
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111 | (7) |
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Chapter 6 Mining Omic Technologies and Their Application to Sustainable Agriculture and Food Production Systems |
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118 | (1) |
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6.2 Sustainable Agriculture |
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119 | (1) |
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6.3 Food Production in Sustainable Agricultural System |
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119 | (2) |
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119 | (1) |
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6.3.2 Cropland and Yield Losses |
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120 | (1) |
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6.3.3 Water Pollution and Overpumping |
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121 | (1) |
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121 | (1) |
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6.4 Organic Food Production and Agricultural Biotechnology |
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121 | (1) |
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6.5 Route of Omic Technologies to Global and Agricultural Sustainability |
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122 | (1) |
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122 | (3) |
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6.6.1 Metabolomics for Biotic and Abiotic Stresses Assessment |
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122 | (2) |
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6.6.2 Metabolomics for Food Quality Attributes, Microbiology and Nutrition |
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124 | (1) |
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6.6.3 Metabolomics and Environmental Concerns |
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124 | (1) |
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125 | (2) |
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6.7.1 What Is the Concept of `Ionomics'? |
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125 | (1) |
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125 | (1) |
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6.7.3 Heavy Metals and Ionomics Approaches in Phytoremediation |
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126 | (1) |
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127 | (3) |
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6.8.1 What Is Metagenomics? |
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127 | (1) |
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6.8.2 Metagenomics and Soil Science |
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128 | (1) |
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6.8.3 Shift from Metagenomics to Industry |
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129 | (1) |
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6.9 Omics and Soil Science |
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130 | (7) |
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6.9.1 Omics-Pipe from Soil Fertility to Agricultural Sustainability |
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130 | (1) |
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131 | (1) |
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131 | (1) |
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131 | (1) |
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132 | (1) |
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132 | (1) |
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133 | (1) |
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133 | (1) |
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134 | (1) |
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134 | (1) |
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134 | (1) |
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135 | (1) |
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135 | (1) |
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136 | (1) |
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136 | (1) |
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137 | (1) |
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6.10 Omics and Rhizosphere Sustainability: The Microworld in the Macroworld |
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137 | (1) |
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138 | (11) |
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139 | (10) |
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Chapter 7 Identification of Molecular Processes Underlying Abiotic Stress Plants Adaptation Using `Omics' Technologies |
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149 | (2) |
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7.1.1 Genotype/Environment Interaction |
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150 | (1) |
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7.1.2 Model Systems and High-Throughput Technologies |
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150 | (1) |
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7.2 Functional Genomics to Understand the Gene Regulatory Networks Involved in Abiotic Stress-Tolerance Mechanisms |
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151 | (5) |
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7.2.1 Plant Engineering for Analysis of the Stress-Tolerance Mechanism |
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152 | (2) |
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7.2.2 Comparative Transcriptome Profiling: From EST Libraries and Microarrays to Next-Generation Sequencing |
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154 | (1) |
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155 | (1) |
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7.3 Reverse Genetics Strategies for the Identification of Abiotic Stress-Resistance Genes |
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156 | (2) |
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7.3.1 Targeted Induced Local Lesions in Genomes (TILLING), T-DNA Insertion Mutants and RNAi |
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156 | (2) |
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7.4 ROS Gene Network and Abiotic Stresses |
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158 | (4) |
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7.4.1 Role of TFs in Oxidative Stress and Abiotic Stress |
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159 | (1) |
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7.4.2 Aluminium Resistance/Tolerance and Its Relation to ROS |
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160 | (2) |
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7.5 Plant MicroRNA and Abiotic Stresses |
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162 | (2) |
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7.6 Conclusions and Future Directions |
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164 | (9) |
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165 | (8) |
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Chapter 8 Rhizosphere Metabolomics A Study of Biochemical Processes |
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Kalyan Chakravarthy Mynampati |
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173 | (1) |
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174 | (2) |
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8.2.1 Composition and Biochemistry of the Rhizosphere |
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174 | (1) |
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174 | (1) |
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175 | (1) |
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175 | (1) |
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175 | (1) |
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8.2.2 Aquatic versus Soil Rhizosphere |
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175 | (1) |
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8.3 Rhizosphere Metabolomics |
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176 | (7) |
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8.3.1 Analytical Techniques for Rhizosphere Metabolomics |
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176 | (1) |
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8.3.1.1 Chromatography Techniques |
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176 | (1) |
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177 | (2) |
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8.3.1.3 Spectroscopy Techniques |
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179 | (1) |
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8.3.2 Metabolomics Data Handling and Analysis |
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180 | (3) |
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8.4 Applications of Rhizosphere Metabolomics |
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183 | (1) |
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183 | (1) |
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8.4.2 Sustainable Agriculture |
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183 | (1) |
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184 | (3) |
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184 | (1) |
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184 | (3) |
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Chapter 9 Microbial Functionality and Diversity in Agroecosystems A Soil Quality Perspective |
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187 | (1) |
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9.2 Starting Point: Agriculture and Soil Sustainability |
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188 | (1) |
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9.3 Soil Quality, Microbial Activity and the New Field of Proteomics |
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189 | (2) |
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9.4 Applications of Organic Amendments in Semiarid Soils and Carbon Sequestration in Soil-Plant Systems |
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191 | (6) |
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9.4.1 Carbon Sequestration in Soil-Plant Systems |
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192 | (5) |
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9.5 Do Agricultural Practices Affect Soil Microbial Diversity and Activity? |
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197 | (5) |
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9.6 Indexes of Soil Quality in Agroecosystems |
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202 | (5) |
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9.7 Perspectives and Conclusions |
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207 | (9) |
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208 | (8) |
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Chapter 10 Survey in Plant Root Proteomics To Know the Unknown |
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216 | (1) |
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10.2 Protein Survey of Specific Root Structures |
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217 | (6) |
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217 | (2) |
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219 | (1) |
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10.2.3 Lateral Root Initiation |
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220 | (1) |
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10.2.4 Plasma Membrane Root Proteins |
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220 | (1) |
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10.2.5 Cell Wall-Associated Root Proteins |
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221 | (1) |
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10.2.6 Secondary Structures and Root-to-Shoot Communication |
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222 | (1) |
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10.3 Protein Network Rearrangement during Symbiotic Associations |
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223 | (6) |
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10.3.1 Legume-Rhizobia Interactions |
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223 | (1) |
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10.3.1.1 Root-Rhizobial Recognition |
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223 | (1) |
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223 | (3) |
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10.3.1.3 Protein Metabolism in Root Nodules |
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226 | (1) |
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10.3.1.4 Symbiosome Biogenesis |
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227 | (1) |
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227 | (1) |
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10.3.2.1 Appresoria Formation and Signal Transduction |
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227 | (1) |
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10.3.2.2 Nutrient Exchange in Periarbuscular Space |
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228 | (1) |
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10.3.3 Common Symbiotic Protein Induction |
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229 | (1) |
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10.4 Proteins Involved in Physiological Alterations under Unfavorable Conditions |
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229 | (13) |
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10.4.1 Pathogen-Root Interactions |
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229 | (2) |
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10.4.1.1 Fungi-Root Interactions |
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231 | (1) |
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10.4.1.2 Bacteria-Root Interactions |
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232 | (1) |
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10.4.1.3 Nematode-Root Interactions |
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233 | (1) |
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10.4.2 Water Stress and Temperature Changes |
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233 | (1) |
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10.4.2.1 Drought Tolerance of Roots |
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233 | (2) |
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10.4.2.2 Flooding Stress on Roots |
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235 | (1) |
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10.4.2.3 Low-Temperature Effects on Root Function |
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236 | (1) |
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10.4.2.4 Thermotolerance of Roots |
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236 | (1) |
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10.4.3 Soil Composition Changes |
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237 | (1) |
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237 | (1) |
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10.4.3.2 Nitrogen, Potassium, and Phosphorus Deprivation |
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238 | (1) |
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10.4.3.3 Glycine as a Nitrogen Supply |
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239 | (1) |
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10.4.4 Metal Contamination-Responsive Proteins |
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240 | (1) |
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240 | (1) |
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241 | (1) |
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242 | (1) |
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242 | (1) |
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10.5 Challenges and Prospects in Root Proteomics |
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242 | (16) |
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245 | (13) |
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Chapter 11 Applications of Agricultural and Medicinal Biotechnology in Functional Foods |
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258 | (1) |
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11.2 Applications of Biotechnology to Food/Feed Crop Improvement |
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259 | (2) |
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259 | (1) |
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259 | (1) |
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260 | (1) |
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260 | (1) |
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260 | (1) |
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11.3 Functional Foods for Application to Human Health Care and/or Disease Prevention |
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261 | (4) |
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261 | (1) |
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11.3.1.1 Vitamin A and Other Carotenoids |
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262 | (1) |
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263 | (1) |
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263 | (1) |
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263 | (1) |
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263 | (1) |
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264 | (1) |
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264 | (1) |
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11.4 Other Functional Food Products |
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265 | (1) |
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265 | (1) |
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265 | (1) |
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11.4.3 Essential Fatty Acids |
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265 | (1) |
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266 | (1) |
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11.5 Omics Approaches for Functional Foods |
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266 | (3) |
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11.5.1 Genomics and Functional Food |
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267 | (1) |
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11.5.2 Proteomics and Functional Food |
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268 | (1) |
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11.5.3 Metabolomics and Functional Food |
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268 | (1) |
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11.6 Biotechnology against Food Allergies |
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269 | (1) |
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270 | (5) |
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270 | (5) |
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Chapter 12 Nutritional Genomics and Sustainable Agriculture |
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275 | (1) |
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12.2 Nutritional Genomics and Crops |
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276 | (6) |
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12.2.1 General Considerations and Concerns |
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277 | (1) |
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12.2.2 Increased Production of Macronutrients |
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277 | (2) |
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12.2.3 Increasing Production of Vitamins |
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279 | (1) |
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12.2.4 Increase Nutraceutical Compounds |
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280 | (1) |
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12.2.5 Reduction of Anti-Nutrients or Allergens |
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281 | (1) |
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12.2.6 Concluding Comments and Future Directions |
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281 | (1) |
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12.3 Nutritional Genomics and Animal Production |
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282 | (4) |
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12.3.1 Improving the Nutritive Value of Animal-Derived Foods |
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282 | (3) |
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12.3.2 Animal Models in Nutrigenomics |
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285 | (1) |
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12.4 Nutritional Genomics and Food Processing |
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286 | (7) |
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12.4.1 Genetic Process Markers |
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287 | (2) |
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12.4.2 Genomics and Food Safety |
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289 | (1) |
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12.4.2.1 Genomics and Toxicological Evaluation |
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289 | (1) |
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12.4.2.2 Genomics and Microbiological Evaluation |
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290 | (2) |
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12.4.3 Genomics and Quality Assurance |
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292 | (1) |
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12.5 Nutritional Genomics and Human Health |
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293 | (10) |
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12.5.1 Gene-Diet Interactions |
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294 | (2) |
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12.5.2 Nutrigenomics and Food Intolerance |
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296 | (1) |
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12.5.3 Nutrigenomics and Food Preferences |
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297 | (1) |
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297 | (6) |
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Chapter 13 Metabolomics Current View on Fruit Quality in Relation to Human Health |
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303 | (1) |
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13.2 Metabolite Profiling |
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304 | (2) |
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13.3 Fruit Quality Relation with Human Health |
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306 | (4) |
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13.4 Fruit Phenolics and Human Health |
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310 | (11) |
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312 | (9) |
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Chapter 14 New Farm Management Strategy to Enhance Sustainable Rice Production in Japan and Indonesia |
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321 | (1) |
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14.2 Rice Production and Their Sustainability in Japan |
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322 | (6) |
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14.2.1 Country Facts and Agricultural Practices at a Glance |
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322 | (1) |
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14.2.2 Rice Production and Sustainable Farming System Using Cover Crops |
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323 | (1) |
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14.2.2.1 Soil Residual N Scavenging |
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323 | (1) |
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14.2.2.2 Reducing or Eliminating Fertilizer Use |
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324 | (2) |
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14.2.2.3 Landscape Management |
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326 | (1) |
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14.2.3 Sustainable Rice Production Practices in Japan |
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326 | (2) |
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14.3 Rice Productions and Their Sustainability in Indonesia |
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328 | (8) |
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14.3.1 Country Facts and Agricultural Practices at a Glance |
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328 | (3) |
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14.3.2 Rice Production and Farming System in Indonesia |
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331 | (1) |
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14.3.3 Organic Rice Production and Sustainable Agriculture |
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332 | (2) |
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14.3.4 Organic Rice Production Practice in West Java, Indonesia |
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334 | (2) |
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336 | (5) |
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338 | (3) |
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Chapter 15 Advances in Genetics and Genomics for Sustainable Peanut Production |
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341 | (1) |
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15.2 Germplasm Collection and Utilization |
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342 | (2) |
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15.3 Genetic Breeding and Cultivar Development |
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344 | (5) |
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15.3.1 Resistance to Root-Knot Nematodes |
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345 | (1) |
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15.3.2 Resistance to Soil-Borne Fungal Diseases |
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345 | (1) |
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15.3.3 Resistance to Foliar Diseases |
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346 | (1) |
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15.3.4 Resistance to TSWV |
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347 | (1) |
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15.3.5 Resistance to Aflatoxin Contamination and Drought Tolerance |
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347 | (2) |
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15.3.6 Improvement of Oil Quality |
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349 | (1) |
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15.4 Cytogenetics and Genome Composition |
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349 | (2) |
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15.5 Molecular Genetics and Biotechnology |
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351 | (5) |
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351 | (2) |
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353 | (1) |
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15.5.3 Genetic Linkage Map |
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353 | (1) |
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15.5.4 MAS for Nematode-Resistant Peanuts |
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354 | (1) |
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15.5.5 MAS for High-Oleic Oil Peanuts |
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355 | (1) |
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15.6 TILLING and Transformation |
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356 | (1) |
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15.7 Peanut Expressed Sequence Tags (ESTs) and Transcriptome Analysis |
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357 | (1) |
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358 | (11) |
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359 | (10) |
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Chapter 16 The Relevance of Compositional and Metabolite Variability in Safety Assessments of Novel Crops |
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Angela Hendrickson Culler |
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369 | (1) |
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16.2 Philosophy of Compositional Analyses in Comparative Safety Assessments of New Crops |
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370 | (3) |
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16.3 Overview of Compositional Assessments of Equivalence and Natural Variability |
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373 | (4) |
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16.4 Metabolomics and Metabolite Variation in Crops |
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377 | (1) |
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16.5 Implications of Variation for Regulatory Assessments for Nutritionally Enhanced Crops |
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378 | (1) |
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379 | (4) |
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380 | (3) |
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Chapter 17 Gene-Expression Analysis of Cell-Cycle Regulation Genes in Virus-Infected Rice Leaves |
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383 | (1) |
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17.2 Current Biology of the Eight Rice Viruses Used in This Study |
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384 | (10) |
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17.2.1 Rice Black-Streaked Dwarf Virus |
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384 | (3) |
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387 | (1) |
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17.2.3 Rice Grassy Stunt Virus |
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388 | (1) |
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17.2.4 Rice Ragged Stunt Virus |
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389 | (1) |
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390 | (1) |
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17.2.6 Rice Transitory Yellowing Virus |
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391 | (1) |
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17.2.7 Rice Tungro Disease |
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391 | (1) |
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17.2.7.1 Rice Tungro Bacilliform Virus |
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391 | (1) |
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17.2.7.2 Rice Tungro Spherical Virus |
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392 | (1) |
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17.2.7.3 Interaction of RTBV and RTSV |
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392 | (2) |
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17.3 Host-Virus Interactions |
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394 | (1) |
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17.4 Transcriptome Analysis of Virus-Infected Host Plants |
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395 | (2) |
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17.5 Expression Profiles of Cell-Cycle-Related Genes in Rice Leaves Following Virus Infection or Drought Stress |
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397 | (17) |
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397 | (9) |
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17.5.2 Cyclin-Dependent Kinases |
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406 | (1) |
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407 | (3) |
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17.5.4 E2F/DP Transcription Factor and Rb Homologs |
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410 | (4) |
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17.5.5 Cell Division Cycle Kinase Subunit 1 and Wee |
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414 | (1) |
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414 | (12) |
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414 | (12) |
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Chapter 18 Transcriptomics, Proteomics and Metabolomics Integration of Latest Technologies for Improving Future Wheat Productivity |
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426 | (1) |
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427 | (6) |
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18.2.1 Transcriptomics in Wheat Development |
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428 | (1) |
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18.2.1.1 Transcriptomics in Transition Phase from Vegetative to Reproductive Growth |
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428 | (1) |
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18.2.1.2 Transcriptomics in Developing Grain |
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429 | (1) |
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18.2.2 Transcriptomics of Wheat under Biotic Stress |
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430 | (1) |
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18.2.3 Transcriptomics of Wheat under Abiotic Stress |
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431 | (1) |
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18.2.3.1 Transcriptomics for Drought Stress Responses |
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432 | (1) |
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18.2.3.2 Transcriptomics for Stress Responses to Aluminium and Salt |
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432 | (1) |
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18.2.4 Future Directions in Wheat Transcriptomics |
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433 | (1) |
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433 | (7) |
|
18.3.1 Proteomics for Wheat Grain Quality |
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434 | (1) |
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18.3.1.1 Proteome of the Developing Wheat Grain |
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434 | (1) |
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18.3.1.2 Proteomics for End-Products |
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435 | (1) |
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18.3.1.3 Protein Analysis of Grain under Abiotic Stress |
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436 | (1) |
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18.3.1.4 Proteomics of Grain for Health Benefits |
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437 | (1) |
|
18.3.2 Proteomics for Agronomic Performance |
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438 | (1) |
|
18.3.2.1 Developmental Leaf Proteome |
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438 | (1) |
|
18.3.2.2 Proteomic Analysis under Abiotic Stress |
|
|
438 | (1) |
|
18.3.2.3 Proteomics Analysis under Biotic Stress |
|
|
439 | (1) |
|
18.3.3 Future Directions in Wheat Proteomics |
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|
440 | (1) |
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440 | (5) |
|
18.4.1 Metabolomics for Wheat Grain Quality |
|
|
441 | (1) |
|
18.4.1.1 Genotypic and Environmental Factors |
|
|
442 | (1) |
|
18.4.1.2 End-Product Assessment and Human Health |
|
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442 | (1) |
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443 | (1) |
|
18.4.2.1 Abiotic Interactions |
|
|
444 | (1) |
|
18.4.2.2 Biotic Interactions |
|
|
444 | (1) |
|
18.4.3 Future Directions in Wheat Metabolomics |
|
|
445 | (1) |
|
18.5 Towards Building Systems Biology Networks in Wheat |
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445 | (9) |
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|
446 | (8) |
|
Chapter 19 Impact of Climatic Changes on Crop Agriculture OMICS for Sustainability and Next-Generation Crops |
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454 | (1) |
|
19.2 Sustainable Agriculture |
|
|
455 | (2) |
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|
457 | (1) |
|
19.3.1 Where We Were: A Brief History of the Green Revolution |
|
|
457 | (1) |
|
19.3.2 Where We Are Today: The `Second' Green Revolution |
|
|
457 | (1) |
|
19.4 Climate Change and Its Impact on Crops |
|
|
458 | (2) |
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|
458 | (1) |
|
19.4.2 Impact of Climate Change |
|
|
458 | (2) |
|
19.5 Crop Improvement: An Urgent Need |
|
|
460 | (5) |
|
19.5.1 Journey from Classical Breeding to Molecular Breeding |
|
|
460 | (2) |
|
19.5.2 Genome Revolution and OMICS |
|
|
462 | (3) |
|
19.6 Development of Molecular- and Biomarkers in Crops against Major Components of Global Climate Change |
|
|
465 | (6) |
|
19.6.1 Study of Ozone Effect |
|
|
465 | (1) |
|
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466 | (1) |
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466 | (1) |
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467 | (1) |
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|
467 | (1) |
|
19.6.2 Study of Carbon Dioxide Effect |
|
|
467 | (1) |
|
|
467 | (1) |
|
|
468 | (1) |
|
19.6.3 Study of UV-B Effect |
|
|
468 | (1) |
|
|
468 | (1) |
|
|
468 | (1) |
|
19.6.4 Rice Blast and Host Interactions Using Genomics and Metabolomics Profiling |
|
|
469 | (2) |
|
19.7 Exploitation of Natural Genetic Resources Using Established Molecular- and Biomarkers |
|
|
471 | (1) |
|
19.8 Next-Generation Crops |
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|
471 | (2) |
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473 | (6) |
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|
473 | (6) |
|
Chapter 20 Designing Oilseeds for Biomaterial Production |
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|
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|
479 | (1) |
|
20.2 Fatty Acids Present in Seed Oils |
|
|
480 | (1) |
|
20.3 Altering Fatty Acid Composition of an Oil |
|
|
481 | (1) |
|
20.4 Fatty Acid and Oil Biosynthesis |
|
|
481 | (1) |
|
|
482 | (1) |
|
20.6 Biomaterials Derived from Commodity Seed Oils |
|
|
483 | (1) |
|
20.7 Other Fatty Acids Used for Producing Biomaterials |
|
|
484 | (1) |
|
20.8 Seed Oils as Sources for Producing Biomaterials |
|
|
484 | (5) |
|
20.8.1 Monounsaturated Fatty Acid Biosynthesis |
|
|
484 | (1) |
|
|
485 | (1) |
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|
485 | (2) |
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|
487 | (1) |
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|
488 | (1) |
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|
488 | (1) |
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|
489 | (1) |
|
20.9 Technical and Social Issues of Genetic Engineering |
|
|
489 | (2) |
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491 | (4) |
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|
491 | (4) |
|
Chapter 21 Bioenergy from Agricultural Biowaste Key Technologies and Concepts |
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|
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495 | (1) |
|
21.2 Rationale of Converting Biomass into Bioenergy (Bioethanol) |
|
|
496 | (1) |
|
21.3 Sources of Biomass/Biowaste |
|
|
496 | (1) |
|
21.3.1 Crop Residue and Farm Wastes |
|
|
496 | (1) |
|
21.3.2 Agricultural Industrial Wastes |
|
|
497 | (1) |
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|
497 | (1) |
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|
497 | (1) |
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|
497 | (1) |
|
21.4 Management of Biomass/Biowaste |
|
|
497 | (1) |
|
21.5 Composition of Biomass |
|
|
498 | (1) |
|
21.6 Biomass to Bioethanol: Ethanol Production Technologies |
|
|
499 | (5) |
|
21.6.1 Pretreatment of Lignocellulosic Materials |
|
|
499 | (1) |
|
21.6.1.1 Physical Pretreatment |
|
|
499 | (1) |
|
21.6.1.2 Chemical Pretreatments |
|
|
499 | (2) |
|
21.6.1.3 Physico-Chemical Pretreatment |
|
|
501 | (1) |
|
21.6.1.4 Biological Pretreatment |
|
|
502 | (1) |
|
21.6.2 Hydrolysis of Cellulose and Hemicellulose into Monomeric Fermentable Sugar |
|
|
502 | (1) |
|
21.6.2.1 Methods of Enzymes Production |
|
|
502 | (1) |
|
21.6.2.2 Enzyme Cocktails for Saccharification |
|
|
503 | (1) |
|
21.6.2.3 Different Hydrolysis Configurations and Fermentation for Ethanol Production |
|
|
504 | (1) |
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|
504 | (5) |
|
|
505 | (4) |
Index |
|
509 | |