This book emphasizes on cutting-edge next-generation smart plant breeding approaches for maximizing the use of genomic resources generated by high-throughput genomics in the post-genomic era. Through this book the readers would learn about the recent development in the genomic approaches such as genotype by sequencing (GBS) for genomic analysis (SNPs, Single Nucleotide Polymorphism), whole-genome re-sequencing (WGRS) and RNAseq for transcriptomic analysis (DEGs, Differentially Expressed Genes). To maximize the genetic gains in the cereal/food crops, the book covers topics on transgenic breeding, genome editing, high-throughput phenotyping, reliable/precision phenotyping and genomic information-based analysis. In the era of climate change and the ever-increasing population, food security and nutritional security are the primary concern of plant breeders, growers, and policymakers to address the UN's sustainable development goals. Chapters of this book cohere around these goals and covers techniques such as (QTL mapping, association studies, candidate gene identification), omics, RNAi [through micro RNA (miRNA), small interfering RNA (siRNA) and artificial micro RNA (amiRNA)]. It also covers other genomic techniques like antisense technology, genome editing (CRISPR/cas9, base editing) and epigenomics that assist the crop improvement programmes to fulfil the UNs sustainable development goals. It explores the influence of rapidly available sequencing data assisting in the next generation breeding programmes. This volume is a productive resource for the students, researchers, scientists, teachers, public and private sector stakeholders involved in the genetic enhancement of cereal crops.
Smart Plant Breeding for Field Crops in Post-genomics Era
RRP:
$466.00
Description
This book emphasizes on cutting-edge next-generation smart plant breeding approaches for maximizing the use of genomic resources generated by high-throughput genomics in the post-genomic era. Through this book the readers would learn about the recent development in the genomic approaches such as genotype by sequencing (GBS) for genomic analysis (SNPs, Single Nucleotide Polymorphism), whole-genome re-sequencing (WGRS) and RNAseq for transcriptomic analysis (DEGs, Differentially Expressed Genes). To maximize the genetic gains in the cereal/food crops, the book covers topics on transgenic breeding, genome editing, high-throughput phenotyping, reliable/precision phenotyping and genomic information-based analysis. In the era of climate change and the ever-increasing population, food security and nutritional security are the primary concern of plant breeders, growers, and policymakers to address the UN's sustainable development goals. Chapters of this book cohere around these goals and covers techniques such as (QTL mapping, association studies, candidate gene identification), omics, RNAi [through micro RNA (miRNA), small interfering RNA (siRNA) and artificial micro RNA (amiRNA)]. It also covers other genomic techniques like antisense technology, genome editing (CRISPR/cas9, base editing) and epigenomics that assist the crop improvement programmes to fulfil the UNs sustainable development goals. It explores the influence of rapidly available sequencing data assisting in the next generation breeding programmes. This volume is a productive resource for the students, researchers, scientists, teachers, public and private sector stakeholders involved in the genetic enhancement of cereal crops.
This book dispenses a comprehensive coverage of up-to-date account of genomics and genome editing enriched smart plant breeding approaches for enhancing genetic gains in vegetable crops in the...
Over the years, the interventions of genomics tools have paved the way for molecular breeding to meet the challenges of food security and climate resilience. Advances in plant molecular breeding...
Plant breeders have used mutagenic agents to create variability for their use in crop improvement. However, application of mutagenic agents has its own drawbacks, such as non-specificity and random...
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