Genomics Data Analysis for Crop Improvement

Genomics Data Analysis for Crop Improvement PDF Author: Priyanka Anjoy
Publisher: Springer
ISBN: 9789819969128
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.

Genomics Data Analysis for Crop Improvement

Genomics Data Analysis for Crop Improvement PDF Author: Priyanka Anjoy
Publisher: Springer
ISBN: 9789819969128
Category : Technology & Engineering
Languages : en
Pages : 0

Get Book

Book Description
This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.

Genotyping by Sequencing for Crop Improvement

Genotyping by Sequencing for Crop Improvement PDF Author: Humira Sonah
Publisher: John Wiley & Sons
ISBN: 1119745675
Category : Science
Languages : en
Pages : 404

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Book Description
OGENOTYPING BY SEQUENCING FOR CROP IMPROVEMENT A thoroughly up-to-date exploration of genotyping-by-sequencing technologies and related methods in plant science In Genotyping by Sequencing for Crop Improvement, a team of distinguished researchers delivers an in-depth and current exploration of the latest advances in genotyping-by-sequencing (GBS) methods, the statistical approaches used to analyze GBS data, and its applications, including quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genomic selection (GS) in crop improvement. This edited volume includes insightful contributions on a variety of relevant topics, like advanced molecular markers, high-throughput genotyping platforms, whole genome resequencing, QTL mapping with advanced mapping populations, analytical pipelines for GBS analysis, and more. The distinguished contributors explore traditional and advanced markers used in plant genotyping in extensive detail, and advanced genotyping platforms that cater to unique research purposes are discussed, as is the whole-genome resequencing (WGR) methodology. The included chapters also examine the applications of these technologies in several different crop categories, including cereals, pulses, oilseeds, and commercial crops. Genotyping by Sequencing for Crop Improvement also offers: A thorough introduction to molecular marker techniques and recent advancements in the technology Comprehensive explorations of the genotyping of seeds while preserving their viability, as well as advances in genomic selection Practical discussions of opportunities and challenges relating to high throughput genotyping in polyploid crops In-depth examinations of recent advances and applications of GBS, GWAS, and GS in cereals, pulses, oilseeds, millets, and commercial crops Perfect for practicing plant scientists with an interest in genotyping-by-sequencing technology, Genotyping by Sequencing for Crop Improvement will also earn a place in the libraries of researchers and students seeking a one-stop reference on the foundational aspects of – and recent advances in – genotyping-by-sequencing, genome-wide association studies, and genomic selection.

Genomics-Assisted Crop Improvement

Genomics-Assisted Crop Improvement PDF Author: R.K. Varshney
Publisher: Springer Science & Business Media
ISBN: 1402062958
Category : Technology & Engineering
Languages : en
Pages : 386

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Book Description
This superb volume provides a critical assessment of genomics tools and approaches for crop breeding. Volume 1 presents the status and availability of genomic resources and platforms, and also devises strategies and approaches for effectively exploiting genomics research. Volume 2 goes into detail on a number of case studies of several important crop and plant species that summarize both the achievements and limitations of genomics research for crop improvement.

Genomics Data Analysis for Crop Improvement

Genomics Data Analysis for Crop Improvement PDF Author: Priyanka Anjoy
Publisher: Springer Nature
ISBN: 9819969131
Category : Technology & Engineering
Languages : en
Pages : 378

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Book Description
This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.

Smart Plant Breeding for Field Crops in Post-genomics Era

Smart Plant Breeding for Field Crops in Post-genomics Era PDF Author: Devender Sharma
Publisher: Springer Nature
ISBN: 981198218X
Category : Science
Languages : en
Pages : 424

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Book 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.

Genomics-Assisted Crop Improvement

Genomics-Assisted Crop Improvement PDF Author: Rajeev K. Varshney
Publisher: Springer Science & Business Media
ISBN: 1402062974
Category : Technology & Engineering
Languages : en
Pages : 509

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Book Description
This superb volume provides a critical assessment of genomics tools and approaches for crop breeding. Volume 1 presents the status and availability of genomic resources and platforms, and also devises strategies and approaches for effectively exploiting genomics research. Volume 2 goes into detail on a number of case studies of several important crop and plant species that summarize both the achievements and limitations of genomics research for crop improvement.

Genomic Selection for Crop Improvement

Genomic Selection for Crop Improvement PDF Author: Rajeev K. Varshney
Publisher: Springer
ISBN: 3319631705
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
Genomic Selection for Crop Improvement serves as handbook for users by providing basic as well as advanced understandings of genomic selection. This useful review explains germplasm use, phenotyping evaluation, marker genotyping methods, and statistical models involved in genomic selection. It also includes examples of ongoing activities of genomic selection for crop improvement and efforts initiated to deploy the genomic selection in some important crops. In order to understand the potential of GS breeding, it is high time to bring complete information in the form of a book that can serve as a ready reference for geneticist and plant breeders.

Genetic Data Analysis for Plant and Animal Breeding

Genetic Data Analysis for Plant and Animal Breeding PDF Author: Fikret Isik
Publisher: Springer
ISBN: 3319551779
Category : Science
Languages : en
Pages : 400

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Book Description
This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.

Molecular Plant Breeding and Genome Editing Tools for Crop Improvement

Molecular Plant Breeding and Genome Editing Tools for Crop Improvement PDF Author: Deka, Pradip Chandra
Publisher: IGI Global
ISBN: 1799843130
Category : Technology & Engineering
Languages : en
Pages : 489

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Book Description
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 nature, simultaneous effect on large numbers of genes, and induction of chromosomal aberrations. To overcome these limitations, several genome editing systems have been developed with the aid of cutting-edge technology rooted in the expertise of several research fields. Molecular Plant Breeding and Genome Editing Tools for Crop Improvement is a pivotal reference source that provides an interdisciplinary approach to crop breeding through genetics. Featuring coverage of a broad range of topics including software, molecular markers, and plant variety identification, this book is ideally designed for agriculturalists, biologists, engineers, advocates, policymakers, researchers, academicians, and students.

The Role of Bioinformatics in Agriculture

The Role of Bioinformatics in Agriculture PDF Author: Santosh Kumar
Publisher: CRC Press
ISBN: 1771880031
Category : Science
Languages : en
Pages : 492

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Book Description
Advances in information technology and next generation sequencing have propelled the use of bioinformatics in agriculture, especially in the area of crop improvement. An extremely large amount of genomics data is available from plants and animals due to tremendous improvements in the field. This book acquaints readers with state-of-the-art sequencing technologies, recent developments in computing algorithms, and certain biological perspectives that influence development of bioinformatics tools by giving specific examples from model plant species. The challenge is now to make sense and use of this wealth of data.