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Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing tree improvement trials. Using examples, it outlines how to: design field, glasshouse and laboratory trials efficiently collect and construct electronic data files pre-process data, screening for data quality and outliers analyse data from single and across-site trials interpret the results from statistical analyses. The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give meaningful results. The techniques provided are applicable to the improvement of not only trees, but to crops in general. This fully revised third edition includes the construction of p-rep and spatial designs using the commercially available software package for design generation (CycDesigN). For analysis of the examples, it provides online Genstat and SAS programs and a link to R programs.
Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing tree improvement trials. Using many fully-worked examples, it outlines how to: design field, glasshouse and laboratory trials; efficiently collect data and construct electronic data files; pre-process data, screening for data quality and outliers; analyse data from single and across-site trials using either GenStat or SAS; and interpret the results from statistical analyses. The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give conclusive results with the minimum expense. The techniques provided are applicable to the improvement of not only trees, but to crops in general. Building on the success of the first edition, this edition includes commercially-available software packages for design generation (CycDesigN) and data pre-processing and automated generation of programs for statistical analysis (DataPlus). For analysis, it provides both GenStat and SAS programs as generated by DataPlus.
Experimental planning and layout; Data collection and pre-processing; Experimental design; Analysis across sites; Variance components and genetics concepts; Incomplete block designs; analysis of gereralized lattice designs.
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experi
Plant Breeding Reviews is an ongoing series presenting state-of-the art review articles on research in plant genetics, especially the breeding of commercially important crops. Articles perform the valuable function of collecting, comparing, and contrasting the primary journal literature in order to form an overview of the topic. This detailed analysis bridges the gap between the specialized researcher and the broader community of plant scientists.
Tree Breeding and lmprovement is gaining significant attention and attraction across the country as a scientific tool to enhance the productivity and wood quality besides facilitating conservation of Forest Genetic Resources. The science of Tree Breeding is comparatively young but extended greater scope in the recent past in operational plantation development programme. The Tree Breeding and lmprovement has been incorporated as a subject in Under Graduate as well as Post graduate degree programme in Forestry offered at various State Agricultural Universities of the country. The existing text books on Tree Breeding are very limited and the practical aspects of tree breeding have not been evidenced in most books. The students and the tree breeding scientists require a comprehensive text book incorporating all theoretical and practical aspects of tree breeding. Accordingly the current book entitled “TREE BREEDING AND IMPROVEMENT - THEORY AND TECHNlQUES” has been designed with 18 chapters. The basic and fundamental aspects of tree breeding have been presented in chapter 1. The chapters 2 and 3 elaborate the Center’s of origin and pollination mechanism of trees. The theoretical and practical aspects of tree breeding methods, hybrid development, genetic tests and their biometric analysis have been presented with suitable field level examples from chapter 4 to 9. Incorporation of Seed orchard, clonal forestry, Exotic Forestry and Forest Biotechnology with -the-state-of-art- recent development will find greater utility by the students and researchers. Above all, the chapters on Varietal Developmental Process, Variety Registration and Organizations involved in tree breeding will have profound utility. ln a holistic perspective, the information furnished in the book will act as a great piece of information to the graduating scholars to understand theoretical and practical aspects of tree breeding towards satisfying their academic needs besides applying them in tree breeding research. For the scientists and teaching faculties, the book will act as a ready reckoner not only for reference but also to apply them in all field level applications.
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.
Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.