Bioinformatics for Plant Research and Crop Breeding

• Record Nr.: UNINA9911018962903321
• Autore: Chen Jen-Tsung
• Pubbl/distr/stampa: Newark : , : John Wiley & Sons, Incorporated, , 2024; ©2024
• ISBN: 9781394209965; 1394209967; 9781394209941; 1394209940
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (608 pages)
• Soggetti: Plant breeding; Crop improvement
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 Bioinformatics as a Powerful Tool to Foster Plant Science Research and Crop Breeding Through Its Involvement in a Multidisciplinary Research Activity -- 1.1 Introduction -- 1.2 Bioinformatics as a Powerful Tool for Big Data Analysis in Plant Science -- 1.3 Role of Bioinformatics in Trait Mapping -- 1.4 Bioinformatics in Molecular Biology -- 1.5 Role of Bioinformatics in Genetic Variation -- 1.6 Bioinformatics in Genome-wide Association Studies (GWAS) -- 1.7 Implication of Bioinformatics in “Omics” -- 1.8 Bioinformatics in Computational Biology and Evolutionary Studies -- 1.9 Role of Bioinformatics in Transcriptomics -- 1.10 Implication of Bioinformatics in Next-generation Sequencing (NGS) Analysis -- 1.11 Implication of Bioinformatics in Metabolomics -- 1.12 Bioinformatics and Epigenetics -- 1.13 Involvement of Bioinformatics in Synthetic Biology -- 1.14 How Can Bioinformatics Promote Plant Biotechnology? -- 1.15 Bioinformatics Use in Biotic and Abiotic Stress Management -- 1.16 Bioinformatics for the Investigation of Plant Resistance to Pathogens -- 1.17 Bioinformatics in Crop Breeding ; and Improvement -- 1.18 Bioinformatics Impacts on Plant Science -- 1.19 Application of Bioinformatics in Plant Breeding Programs -- 1.20 Conclusion -- References -- Chapter 2 Bioinformatics for Molecular Breeding and Enhanced Crop Performance: Applications and Perspectives -- 2.1 Introduction
• Sommario/riassunto: This book, edited by Jen-Tsung Chen, explores advanced research methodologies and technologies in plant science and crop breeding. It covers a wide range of topics, including big data analysis, genetic mapping, genome sequencing, and multi-omics approaches. The book aims to enhance understanding of plant genetic processes, molecular biology, and computational biology to improve crop performance and breeding programs. It is intended for researchers, scientists, and professionals in the fields of plant science, agricultural informatics, and crop breeding, providing insights into the application of genomics, proteomics, and metabolomics in crop improvement.