Allele Mining for Genomic Designing of Fruit Crops
Chittaranjan Kole, Kenta Shirasawa, Anil Kumar Singh, Chittaranjan Kole, Kenta Shirasawa, Anil Kumar Singh
- 350 Seiten
- English
- ePUB (handyfreundlich)
- Über iOS und Android verfügbar
Allele Mining for Genomic Designing of Fruit Crops
Chittaranjan Kole, Kenta Shirasawa, Anil Kumar Singh, Chittaranjan Kole, Kenta Shirasawa, Anil Kumar Singh
Über dieses Buch
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.