Genome Engineering for Crop Improvement

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.

Genomic Applications for Crop Breeding: Abiotic Stress, Quality and Yield Improvement is the second of two volumes looking at the latest advances in genomic applications to crop breeding. This volume focuses on advances improving crop resistance to abiotic stresses such as extreme heat, drought, flooding as well as advances made in quality and yield improvement. Chapters examine advances in such key crops as rice, maize, and sugarcane, among others. Genomic Applications for Crop Breeding: Abiotic Stress, Quality and Yield Improvement complements the earlier volume on biotic stressors and will be an essential purchase for those interested in crop science and food production.

Praise for the Second Edition «As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available.» —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.

Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods: Separation Stochastic separation Introducing deliberate weaknesses Segmentation Self-reinforcement Inversion Reducing the rate of accumulation of damage Permutation Substitution Limiting the space and time exposure Comparative reliability models The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost. Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.

Bohdan W. Oppenheim has pulled together experience-based insights of experts across industry, government, and academia into a comprehensive sourcebook for lean systems engineering principles and practices. This book can educate those new to lean engineering, as well as provide new insights and enablers that best-in-class organizations will want to adopt. —Dr. Donna H. Rhodes, Principal Research Scientist, SEAri and LAI, Massachusetts Institute of Technology «Lean for Systems Engineering is targeted at the practitioner who is trying to make systems engineering more effective in her or his organization or program, yet its scholarly underpinnings make the text very suitable for teachers. Educators and trainers who wish to weave lean thinking into their systems engineering curriculum will find this an invaluable text.» —Earll M. Murman, Ford Professor of Engineering Emeritus, Massachusetts Institute of Technology "At last, a book that distills years of research and scholarly inquiry into a concise and coherent form for both the student and practitioner. This book will become the favored guide and 'must read' for any engineer and manager trying to establish and maintain lean practices and principles in their systems engineering/product development processes. —J. Robert Wirthlin, PhD, Lt. Col., USAF, Program Director of the Graduate Research and Development Management Program, Air Force Institute of Technology Visiting Faculty, U.S. Air Force Center for Systems Engineering «A vital contribution to linking lean practices to systems engineering. I will definitely use it as a reference for my course and writings on a value approach to product and system development.» —Dr. Stanley I. Weiss, Consulting Professor, Dept. of Aeronautics and Astronautics, Stanford University «Taking the opportunity to develop and refine the Lean Enablers for Systems Engineering provided clear direction for Lean Engineering Accelerated Planning at Rockwell Collins. The Lean Enablers form a solid basis for Lean Product Development. Following this checklist and methodology promotes Lean value and waste elimination—and commonsense best practices.» —Deborah A. Secor, Principal Project Manager and Lean Master, Rockwell Collins «Bo Oppenheim has been at the forefront of lean systems engineering for the better part of the last decade…An ardent advocate of lean systems engineering, the author has offered an honest appraisal of where lean systems engineering stands today. Practitioners interested in lean systems engineering will find the Lean Enablers especially useful.»– Azad M. Madni, PhD, Professor and Director, SAE Program, Viterbi School of Engineering; Professor, Keck School of Medicine, University of Southern California

MATERIALS FOR BIOMEDICAL ENGINEERING A comprehensive yet accessible introductory textbook designed for one-semester courses in biomaterials Biomaterials are used throughout the biomedical industry in a range of applications, from cardiovascular devices and medical and dental implants to regenerative medicine, tissue engineering, drug delivery, and cancer treatment. Materials for Biomedical Engineering: Fundamentals and Applications provides an up-to-date introduction to biomaterials, their interaction with cells and tissues, and their use in both conventional and emerging areas of biomedicine. Requiring no previous background in the subject, this student-friendly textbook covers the basic concepts and principles of materials science, the classes of materials used as biomaterials, the degradation of biomaterials in the biological environment, biocompatibility phenomena, and the major applications of biomaterials in medicine and dentistry. Throughout the text, easy-to-digest chapters address key topics such as the atomic structure, bonding, and properties of biomaterials, natural and synthetic polymers, immune responses to biomaterials, implant-associated infections, biomaterials in hard and soft tissue repair, tissue engineering and drug delivery, and more. Offers accessible chapters with clear explanatory text, tables and figures, and high-quality illustrations Describes how the fundamentals of biomaterials are applied in a variety of biomedical applications Features a thorough overview of the history, properties, and applications of biomaterials Includes numerous homework, review, and examination problems, full references, and further reading suggestions Materials for Biomedical Engineering: Fundamentals and Applications is an excellent textbook for advanced undergraduate and graduate students in biomedical materials science courses, and a valuable resource for medical and dental students as well as students with science and engineering backgrounds with interest in biomaterials.

The budget and financial reporting processes are well known sources of frustration for most CFOs. Seeking a quick fix to the problem, the common solution is to pour more money into new and better software. This leaves the root cause, the inefficient and dysfunctional underlying processes and routines, unaddressed. As this book shows, substantial and sustainable improvements are only achieved through an holistic approach to process improvement, technology, strategy, and people. —Tom Henry Knudsen, Executive Vice President, Telenor Eiendom Fornebu AS, Proven methods for improving efficiency Corporations face a high turnover among financial managers, rapid changes in technology, lack of time and process redesign skills, and ongoing ambiguity about primary objectives behind the budgeting and financial reporting processes. Amid this frenzy, it is the fundamental efficiency of these processes that dramatically impact overall business performance. Process Improvement for Effective Budgeting and Financial Reporting provides financial managers with a compelling blueprint for increasing efficiency and eliminating waste of time and energy. Four operational experts lay out an 80/20 plan-improving 80% of processes in 20% of the time it would take to improve 100%-and explain a Business Process Improvement (BPI) plan that incorporates: The emerging trends affecting financial managers today Step-by-step process implementation Interviews with industry leaders, consultants, and managers who have successfully instituted BPI plans Appraisals of the available software that can help or hinder the process There is no substitute for improved efficiency. CFOs, controllers, budget managers, and financial analysts will significantly benefit from adding this authoritative guide to their professional libraries.

Smart technologies comprise a dynamic new interdisciplinary research field that encompasses a wide spectrum of engineering applications including, but not limited to, intelligent structures and materials, actuators, sensors and structural observability, control systems and software tools for the design of adaptive structures. Smart technologies focus on the issues surrounding the safety and integrity of engineering systems. Smart Technologies for Safety Engineering presents the achievements of ten years of research from the Smart-Tech Centre applied to some of the key issues of safety engineering. Results presented include: Original methods and software tools for modelling, design, simulation and control of adaptive structures and applicability of the adaptive concept to the design of structures for extreme loads; Application of the smart-tech concept to hot research topics and emerging engineering issues including health monitoring of structures and engineering systems, monitoring of loading conditions, automatic structural adaptation to unpredictable, randomly changing dynamic conditions and the optimal design of adaptive structures and engineering systems; Numerically efficient and original software packages that can be used for the design of adaptive, as well as passive (without control devices) structures. The Virtual Distortion Method, which has been developed especially for fast reanalysis of structures and systems and exact sensitivity analysis, allowing for effective modelling, design, health monitoring and control of smart engineering systems. The original research and practical applications in Smart Technologies for Safety Engineering will appeal to a broad spectrum of engineers, researchers, professors and graduate students involved in the research, design and development of widely understood adaptronics and mechatronics, including smart structures and materials, adaptive impact absorption, health and load monitoring, vibration control, vibroacoustics and related issues.