Author: ER Williams,AC Matheson,CE Harwood
Publisher: CSIRO PUBLISHING
Category: Technology & Engineering
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 new edition has been fully revised and updated to relate to the latest commercially-available software packages for design generation (CycDesigN) and data pre-processing and automated generation of programs for statistical analysis (DataPlus). For analysis, it now provides both GenStat and SAS programs as generated by DataPlus.
Author: Emlyn Rhys Williams,Alastair Colin Matheson
Publisher: CSIRO Publishing
This text for scientists involved in the forestry field and glasshouse trials originated from a series of two week courses given in China on behalf of the Australian Centre for International Agricultural Research. Discusses the preparation, design, analysis and interpretation of forestry trials and introduces relevant statistical methodology and computing techniques, including GENSTAT programs for statistical analysis, ALPHA+ for the design and randomisation of trials, and DATACHAIN for the collection and preprocessing of data. Although aimed primarily at those involved in forest research, the techniques described are applicable to crops in general. Includes references and an index.
Author: Rowland Burdon,William Libby,Alan Brown
Category: Technology & Engineering
In nature, radiata pine is very localised and an obscure tree species despite the romantic character of much of its natural habitat. That obscure status and the lack of any reputation as a virgin timber slowed its due recognition as a commercial crop. Nevertheless, it has become a major plantation forest crop internationally. It has become the pre-eminent commercial forest species in New Zealand, Chile and Australia, with important plantings in some other countries. It consequently features prominently in the international trade in forest products, in addition to its importance in domestic markets of grower countries. Very fast growth, considerable site tolerances, ease of raising in nurseries and transplanting, and ease of processing and using its wood for a range of products and purposes, have made it the utility softwood of choice almost everywhere it can be grown satisfactorily. Abundant genetic variation and its amenability to other management inputs created special opportunities for its domestication. The story of its domestication forms a classic case history in the development of modern commercial forestry, with trailblazing in both genetic improvement and plantation management; this inevitably meant a learning process that provided instructive lessons, especially for tree breeders dealing with some other species. Paradoxically, the plantation monocultures have played and can continue to play an important role in protecting natural forests and other forms of biodiversity. Given the attractions of growing radiata pine, there were inevitably cases of overreach in planting it, with lessons to be learnt. Economic globalisation has meant globalisation of pests and disease organisms, and the scale on which radiata pine is grown has meant is has been the focus of various biotic alarms, none of which have proved catastrophic. Temptations, remain, however, to pay less than due attention to some aspects of risk management. The chapter structure of the book is based on historical periods, beginning long before any important human influences, and ending with a look into what the future might hold for the species and its role in human and ecological sustainability. Almost throughout, there has been complex interplay between the technical aspects, local social and economic factors, various types of institution, the enthusiasm and drive of some very influential individuals, and tides of economic ideology, threads that needed to be woven together to do the story justice.
Author: Timothy L. White,W. T. Adams,David B. Neale
This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.
Publisher: Bib. Orton IICA / CATIE
Author: David Heath
Publisher: CRC Press
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.
Author: Pier Luigi Nimis,Christoph Scheidegger,Patricia Wolseley
Publisher: Springer Science & Business Media
A comprehensive, up-to-date review of lichens as biomonitors of air pollution (bioindication, metal and radionuclide accumulation, biomarkers), and as monitors of environmental change (including global climate change and biodiversity loss) in a wide array of terrestrial habitats. Several methods for using lichens as biomonitors are described in a special section of the book.
Author: Alan G. Clewer,David H. Scarisbrick
Publisher: John Wiley & Sons
Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents: * The reasoning behind each statistical method is explained before giving relevant, practical examples * Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable to undergraduate and postgraduate students studying plant sciences, including plant and crop physiology, biotechnology, plant pathology and agronomy, plus ecology and environmental science students and those wanting a refresher or reference book in statistics.
Author: Steven R. Brown,Lawrence E. Melamed
This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test and completely randomized designs.
Journal Canadien de la Recherche Forestière
Category: Forests and forestry
Author: Shen Liu,James Mcgree,Zongyuan Ge,Yang Xie
Publisher: Academic Press
Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate
Author: Gerry P. Quinn,Michael J. Keough
Publisher: Cambridge University Press
An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
Author: Gary W. Oehlert
Publisher: W. H. Freeman
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.
Author: John Mandel
Publisher: Courier Corporation
First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.
How Next-Generation Phenotyping is Revolutionizing Plant Breeding
Author: Roberto Fritsche-Neto,Aluízio Borém
This book represents a pioneer initiative to describe the new technologies available for next-generation phenotyping and applied to plant breeding. Over the last several years plant breeding has experienced a true revolution. Phenomics, i.e., high-throughput phenotyping using automation, robotics and remote data collection, is changing the way cultivars are developed. Written in an easy to understand style, this book offers an indispensable reference work for all students, instructors and scientists who are interested in the latest innovative technologies applied to plant breeding.
Author: George Acquaah
Publisher: John Wiley & Sons
To respond to the increasing need to feed the world's population as well as an ever greater demand for a balanced and healthy diet there is a continuing need to produce improved new cultivars or varieties of plants, particularly crop plants. The strategies used to produce these are increasingly based on our knowledge of relevant science, particularly genetics, but involves a multidisciplinary understanding that optimizes the approaches taken. Principles of Plant Genetics and Breeding, 2nd Edition introduces both classical and molecular tools for plant breeding. Topics such as biotechnology in plant breeding, intellectual property, risks, emerging concepts (decentralized breeding, organic breeding), and more are addressed in the new, updated edition of this text. Industry highlight boxes are included throughout the text to contextualize the information given through the professional experiences of plant breeders. The final chapters provide a useful reference on breeding the largest and most common crops. Up-to-date edition of this bestselling book incorporating the most recent technologies in the field Combines both theory and practice in modern plant breeding Updated industry highlights help to illustrate the concepts outlined in the text Self assessment questions at the end of each chapter aid student learning Accompanying website with artwork from the book available to instructors
A Manual and Software for Common Statistical Methods for Ecological and Biodiversity Studies
Author: R. Kindt,Richard Coe
Publisher: World Agroforestry Centre
Author: Helmut van Emden
Publisher: John Wiley & Sons
“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the $40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
Author: Kwanchai A. Gomez,Arturo A. Gomez
Publisher: John Wiley & Sons
The Agricultural Field Experiment A Statistical Examination of Theory and Practice S.C. Pearce Here is a comprehensive overview of the statistical knowledge needed to conduct successful field experiments on crops. Blending theory and practice, it covers a wide range of subjects from the fertility of fields and the allocation of resources to the cooperative efforts needed for a successful experiment. 1983 (0 471-10511-2) 335 pp. Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter and J. Stuart Hunter This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. Written for the non-statistician, the book emphasizes the need for the investigator to make his research as effective as possible through the proper choice and conduct of experiments, and the appropriate analysis of data. Included are numerous worked examples, exercises with answers), and end-of-chapter questions and problems. 1978 (0 471-09315-7) 653 pp.