This book deliberates on the concept, strategies, tools, and techniques of allele mining in grain legume crops and its application potential in genome elucidation and improvement, including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and also studies of gene expression and gene prediction. Available gene pools in global germplasm collections specifically consisting of wild allied species and local landraces for almost all major crops have facilitated allele mining. Development of advanced genomic techniques, including PCR-based allele priming and EcoTILLING-based allele mining, is being widely used now for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs, and also with genome plasticity to adapt to climate change scenarios. All these concepts and strategies, along with precise success stories, are presented in the chapters dedicated to the major grain legume crops. 1. The first book on the novel strategy of allele mining in grain legume crops for precise breeding. 2. Presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources. 3. Depicts case studies of PCR-based allele priming and EcoTILLING-based allele mining. 4. Elaborates on gene discovery and gene prediction in major grain legume crops. This book will be useful to students and faculties in various plant science disciplines, including genetics, genomics, molecular breeding, agronomy, and bioinformatics; to scientists in seed industries; and also to policymakers and funding agencies interested in crop improvement.

This book deliberates on the concept, strategies, tools, and techniques of allele mining in cereal crops and its application potential in genome elucidation and improvement, including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and studies of gene expression and gene prediction. Available gene pools in global germplasm collections specifically consisting of wild allied species and local landraces for almost all major crops have facilitated allele mining. Development of advanced genomic techniques including PCR-based allele priming and Eco-TILLING-based allele mining are being widely used now for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs and with genome plasticity to adapt the climate change scenarios. All these concepts and strategies along with precise success stories are presented in the chapters dedicated to the major cereal crops. The first book on the novel strategy of allele mining in cereal crops for precise breeding Presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources Depicts case studies of PCR-based allele priming and Eco-Tilling-based allele mining Elaborates on gene discovery and gene prediction in major cereal crops This book will be useful to the students and faculties in various plant science disciplines including genetics, genomics, molecular breeding, agronomy, and bioinformatics; the scientists in seed industries; and the policymakers and funding agencies interested in crop improvement.

Grain legumes, including common-bean, chickpea, pigeonpea, pea, cowpea, lentil and others, form important constituents of global diets, both vegetarian and non-vegetarian. Despite this significant role, global production has increased only marginally in the past 50 years. The slow production growth, along with a rising human population and improved buying capacity has substantially reduced the per capita availability of food legumes. Changes in environmental climate have also had significant impact on production, creating a need to identify stable donors among genetic resources for environmentally robust genes and designing crops resilient to climate change. Genetic and Genomic Resources of Grain Legume Improvement is the first book to bring together the latest resources in plant genetics and genomics to facilitate the identification of specific germplasm, trait mapping and allele mining to more effectively develop biotic and abiotic-stress-resistant grains. This book will be an invaluable resource for researchers, crop biologists and students working with crop development. Explores origin, distribution and diversity of grain legumes Presents information on germplasm collection, evaluation and maintenance Offers insight into pre-breeding/germplasm enhancement efforts Integrates genomic and genetic resources in crop improvement Internationally contributed work

This book deliberates on the concept, strategies, tools, and techniques of allele mining in oilseed crops and its application potential in genome elucidation and improvement, including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and studies of gene expression and gene prediction. Available gene pools in global germplasm collections, specifically consisting of wild allied species and local landraces for almost all major crops, have facilitated allele mining. The development of advanced genomic techniques, including PCR-based allele priming and Eco-TILLING-based allele mining, is now widely used for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs and with genome plasticity to adapt to climate change scenarios. All these concepts and strategies, along with precise success stories, are presented in the chapters dedicated to the major oilseed crops. 1. This is the first book on the novel strategy of allele mining in oilseed crops for precise breeding. 2. This book presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources. 3. This book depicts case studies of PCR-based allele priming and Eco-TILLING based allele mining. 4. This book elaborates on gene discovery and gene prediction in major oilseed crops. This book will be useful to students and faculties in various plant science disciplines, including genetics, genomics, molecular breeding, agronomy, and bioinformatics; scientists in seed industries; and policymakers and funding agencies interested in crop improvement.

This book deliberates on the concept, strategies, tools, and techniques of allele mining in vegetable crops and its application potential in genome elucidation and improvement including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and studies of gene expression and gene prediction. Available gene pools in global germplasm collections specifically consisting of wild allied species and local landraces for almost all major crops have facilitated allele mining. Development of advanced genomic techniques including PCR-based allele priming and Eco-TILLING based allele mining are being widely used now for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs and with genome plasticity to adapt the climate change scenarios. All these concepts and strategies along with precise success stories are presented in the chapters dedicated to the major vegetable crops. The first book on the novel strategy of allele mining in vegetable crops for precise breeding Presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources Depicts case studies of PCR-based allele priming and Eco-TILLING based allele mining Elaborates on gene discovery and gene prediction in major vegetable crops This book will be useful to the students and faculties in various plant science disciplines including genetics, genomics, molecular breeding, agronomy, and bioinformatics; the scientists in seed industries; and, the policymakers and funding agencies interested in crop improvement.

This book deliberates on the concept, strategies, tools, and techniques of allele mining in fruit crops and its application potential in genome elucidation and improvement including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and also studies of gene expression and gene prediction. Available gene pools in global germplasm collections specifically consisting of wild allied species and local landraces for almost all major crops have facilitated allele mining. Advanced genomic techniques have been developed including PCR-based allele priming and Eco-TILLING-based allele mining that are being widely used now for mining superior alleles. Allele discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching with consumer needs and also with genome plasticity to adapt the climate change scenarios. All these concepts and strategies along with precise success stories are presented over the chapters dedicated to the major fruit crops. The features of this book are as follows: The first book on the novel strategy of allele mining in fruit crops for precise breeding Presents genomic strategies of mining superior alleles underlying agronomic traits from genomic resources Depicts case studies of PCR-based allele priming and Eco-TILLING-based allele mining Elaborates on gene discovery and gene prediction in major fruit crops This book will be useful to students and faculties in various plant science disciplines including genetics, genomics, molecular breeding, agronomy, and bioinformatics; scientists in seed industries; and also policy makers and funding agencies interested in crop improvement.

This book deliberates on the concept, strategies, tools, and techniques of allele mining in oilseed crops and its application potential in genome elucidation and improvement, including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and studies of gene expression and gene prediction. Available gene pools in global germplasm collections, specifically consisting of wild allied species and local landraces for almost all major crops, have facilitated allele mining. The development of advanced genomic techniques, including PCR-based allele priming and Eco-TILLING-based allele mining, is now widely used for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs and with genome plasticity to adapt to climate change scenarios. All these concepts and strategies, along with precise success stories, are presented in the chapters dedicated to the major oilseed crops. 1. This is the first book on the novel strategy of allele mining in oilseed crops for precise breeding. 2. This book presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources. 3. This book depicts case studies of PCR-based allele priming and Eco-TILLING based allele mining. 4. This book elaborates on gene discovery and gene prediction in major oilseed crops. This book will be useful to students and faculties in various plant science disciplines, including genetics, genomics, molecular breeding, agronomy, and bioinformatics; scientists in seed industries; and policymakers and funding agencies interested in crop improvement.