Genome Wide Association Studies And Genomic Selection For Crop Improvement In The Era Of Big Data
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Genome Wide Association Studies And Genomic Selection For Crop Improvement In The Era Of Big Data
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Author : Nunzio D’Agostino
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-05
Genome Wide Association Studies And Genomic Selection For Crop Improvement In The Era Of Big Data written by Nunzio D’Agostino and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-05 with Science categories.
Genotyping By Sequencing For Crop Improvement
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Author : Humira Sonah
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-29
Genotyping By Sequencing For Crop Improvement written by Humira Sonah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Science categories.
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.
Contemporary Studies In Biological Sciences I
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Author : Semra BENZER
language : en
Publisher: Akademisyen Kitabevi
Release Date : 2023-12-31
Contemporary Studies In Biological Sciences I written by Semra BENZER and has been published by Akademisyen Kitabevi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Nature categories.
Quantitative Genetics Genomics And Plant Breeding 2nd Edition
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Author : Manjit S. Kang
language : en
Publisher: CABI
Release Date : 2020-04-01
Quantitative Genetics Genomics And Plant Breeding 2nd Edition written by Manjit S. Kang and has been published by CABI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Science categories.
This book presents state-of-the-art, authoritative chapters on contemporary issues in the broad areas of quantitative genetics, genomics and plant breeding. Section 1 (Chapters 2 to 12) emphasizes the application of genomics, and genome and epigenome editing techniques, in plant breeding; bioinformatics; quantitative trait loci mapping; and the latest approaches of examining and exploiting genotype-environment interactions. Section 2 (Chapters 13 to 20) represents the intersection of breeding, genetics and genomics. This section describes the use of cutting-edge molecular breeding and quantitative genetics techniques in wheat, rice, maize, root and tuber crops and pearl millet. Overall, the book focuses on using genomic information to help evaluate traits that can combat biotic/abiotic stresses, genome-wide association mapping, high-throughput genotyping/phenotyping, biofortification, use of big data, orphan crops, and gene editing techniques. The examples featured are taken from across crop science research and cover a wide geographical base.
Smart Plant Breeding For Field Crops In Post Genomics Era
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Author : Devender Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-04-28
Smart Plant Breeding For Field Crops In Post Genomics Era written by Devender Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Science categories.
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.
Omics Based Techniques For Global Food Security
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Author : Sajid Fiaz
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-04
Omics Based Techniques For Global Food Security written by Sajid Fiaz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Technology & Engineering categories.
Forward-thinking resource discussing how to integrate OMICs and novel genome editing technologies for sustainable crop production OMICS-based Techniques for Global Food Security provides an in-depth understanding of the mechanisms of OMICs techniques for crop improvement, details how OMICs techniques can contribute to identifying genes and traits with economic benefits, and explains how to develop crop plants with improved yield, quality, and resistance to stresses through genome editing technologies, providing evidence on the developments of climate resilient crops via applications of genome editing techniques throughout. The text covers the application of OMICs in crop plants, the integration of bioinformatics and multi-OMICs for precision breeding, de-novo domestication, CRISPR/Cas system for crop improvement, hybrid seed production, transgene free breeding, regulation for genome edit crops, bioinformatics and genome editing, and other topics related OMICs and genome editing. The text also includes a chapter on the global regulations for genome edited crops, and explains how these regulations influence novel plant breeding techniques in their adopted countries. Written by two highly qualified academics, OMICs-based Techniques for Global Food Security covers sample topics such as: Crops genome sequencing and their application for crop improvement, and functional characterization of cereals genome The role of OMICs based technologies in plant sciences and utilization of different multi-OMICs approaches for crop improvement Genomic database and genetic resource of cereals, speed breeding for rapid crop improvement, and evolution of genome editing technologies CRISPR system discovery, history, and future perspective, and CRISPR/Cas system for biotic and abiotic stress resistance in cereals Providing a collection of recent literature focusing on developments and applications of OMICs based technologies for crop improvement, OMICs-based Techniques for Global Food Security is an important read for plant breeders, molecular biologists, researchers, postdoctoral fellows, and students in disciplines for developing crops with high yield and nutritional potential.
Genomic Selection In Plants
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Author : Ani A. Elias
language : en
Publisher: CRC Press
Release Date : 2022-08-18
Genomic Selection In Plants written by Ani A. Elias and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Science categories.
Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. The potential of this tool has not been realized due to its limited adaptation in various crops. Marker Assisted Selection (MAS) has been the method of choice for plant breeders while using the genomic information in the breeding pipeline. MAS, however, fails to capture vital minor gene effects while focusing only on the major genes, which is not ideal for breeding advancement especially for quantitative traits such as yield. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and their applications is one of the reasons why breeders shy away from this tool. The book is meant for biologists, especially breeders, and provides a comprehensive idea of the statistical methodologies used in GS, guidance on the choice of models, and design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops among oilseeds, vegetables, legumes, tuber crops, and cereals. For ease of implementation of GS, the book also provides hands-on scripts on GS data design and modeling in a popular open-source statistical program. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed.
Accelerating Genetic Gain For Key Traits Using Genome Wide Association Studies And Genomic Selection Promising Breeding Tools For Sustainable Agriculture
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Author : Sundeep Kumar
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-08
Accelerating Genetic Gain For Key Traits Using Genome Wide Association Studies And Genomic Selection Promising Breeding Tools For Sustainable Agriculture written by Sundeep Kumar and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Science categories.
Omics Technologies For Sustainable Agriculture And Global Food Security Vol Ii
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Author : Anirudh Kumar
language : en
Publisher: Springer Nature
Release Date : 2021-08-05
Omics Technologies For Sustainable Agriculture And Global Food Security Vol Ii written by Anirudh Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with Technology & Engineering categories.
This edited book brings out a comprehensive collection of information on the modern omics-based research. The main focus of this book is to educate researchers about utility of omics-based technologies in rapid crop improvement. In last two decades, omics technologies have been utilized significantly in the area of plant sciences and has shown promising results. Omics technology has potential to address the challenge of food security in the near future. The comprehensive use of omics technology occurred in last two decades and helped greatly in the understanding of complex biological problems, improve crop productivity and ensure sustainable use of ecosystem services. This book is of interest to researchers and students of life sciences, biotechnology, plant biotechnology, agriculture, forestry, and environmental sciences. It is also a useful knowledge resource for national and international agricultural scientists.
Genomic Selection Lessons Learned And Perspectives
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Author : Johannes W. R. Martini
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-15
Genomic Selection Lessons Learned And Perspectives written by Johannes W. R. Martini and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Science categories.
Genomic selection (GS) has been the most prominent topic in breeding science in the last two decades. The continued interest is promoted by its huge potential impact on the efficiency of breeding. Predicting a breeding value based on molecular markers and phenotypic values of relatives may be used to manipulate three parameters of the breeder's equation. First, the accuracy of the selection may be improved by predicting the genetic value more reliably when considering the records of relatives and the realized genomic relationship. Secondly, genotyping and predicting may be more cost effective than comprehensive phenotyping. Resources can instead be allocated to increasing population sizes and selection intensity. The third, probably most important factor, is time. As shown in dairy cattle breeding, reducing cycle time by crossing selection candidates earlier may have the strongest impact on selection gain. Many different prediction models have been used, and different ways of using predicted values in a breeding program have been explored. We would like to address the questions: i. How did GS change breeding schemes of different crops in the last 20 years? ii. What was the impact on realized selection gain? iii. What would be the best structure of a crop-specific breeding scheme to exploit the full potential of GS? iv. What is the potential of hybrid prediction, epistasis effect models, deep learning methods and other extensions of the standard prediction of additive effects? v. What are the long-term effects of GS? vi. Can predictive breeding approaches also be used to harness genetic resources from germplasm banks in a more efficient way to adapt current germplasm to new environmental challenges? This Research Topic welcomes submissions of Original Research papers, Opinions, Perspectives, Reviews, and Mini-Reviews related to these themes: 1. Genomic selection: statistical methodology 2. The (optimal) use of GS in breeding schemes 3. Practical experiences with GS (selection gain, long-term effects, negative side effects) 4. Predictive approaches to harness genetic resources Concerning point 1): If an original research paper compares different methods empirically without theoretical considerations on when one or the other method should be better, the methods should be compared with at least five different data sets. The data sets should differ either in crop, genotyping method or its source, for instance from a breeding program or gene bank accessions. Concerning point 2): Manuscripts addressing the use of GS in breeding schemes should illustrate breeding schemes that are run in practice. General ideas about schemes that may be run in the future may be considered as 'Perspective' articles. Conflict of Interest statements: - Topic Editor Valentin Wimmer is affiliated to KWS SAAT SE & Co. KGaA, Germany. - Topic Editor Brian Gardunia is affiliated to Bayer Crop Sciences and has a collaboration with AbacusBio, and is an author on patents with Bayer Crop Sciences. The other Topic Editors did not disclose any conflicts of interest. Image credit: CIMMYT, reproduced under the CC BY-NC-SA 2.0 license