Details

<p>Preface vi</p> <p>Chapter 1 Theoretical Framework for Crop Variety Trials 1</p> <p>Chapter 2 An Overview of Variety Trial Data and Analyses 23</p> <p>Chapter 3 Introduction to Biplot Analysis 31</p> <p>Chapter 4 Data Centering for Biplot Analysis 51</p> <p>Chapter 5 Data Scaling and Weighting for GGE Biplot Analysis 75</p> <p>Chapter 6 Frequently Asked Questions About Biplot Analysis 91</p> <p>Chapter 7 Single-Trial Data Analysis 107</p> <p>Chapter 8 Genotype-by-Location Two-Way Data Analysis 133</p> <p>Chapter 9 Genotype-by-Trait Data Analysis and Decision-Making 163</p> <p>Chapter 10 Trait Association-by-Environment Two-Way Table Analysis 187</p> <p>Chapter 11 Location-by-Trait Two-Way Data Analysis 199</p> <p>Chapter 12 Mega-environment Analysis Based on Multiyear Data 207</p> <p>Chapter 13 Test Location Evaluation Based on Multiyear Data 231</p> <p>Chapter 14 Genotype Evaluation Based on Multiyear Data 255</p> <p>Chapter 15 Building and Utilizing a Relational Database for Crop Variety Trial Data 279</p> <p>Chapter 16 Experimental Design for Variety Trials and Breeding Nurseries 295</p> <p>Chapter 17 Modules and Functions in GGEbiplot 315</p> <p>Chapter 18 Conclusions 341</p> <p>References 345</p> <p>Index 349</p>

<p>“Overall, in my opinion, Crop Variety Trials: Data Management and Analysisis a highly useful practical manual of MET data management and data analysis techniques. The use of GGE biplot software developed by the author has been amply demonstrated with examples.”  (<i>Crop Science</i>, 1 November 2014)</p>

<b>Weikai Yan</b> is a Research Scientist and Oat Breeder with Agriculture and Agri-Food Canada.

<p>Variety trials are an essential step in crop breeding programs. These trials are a significant investment in time and resources and inform numerous decisions from cultivar development to end-use. <i>Crop Variety Trials: Data Management and Analysis</i> is a practical volume that provides valuable theoretical foundations as well as a guide to step-by-step implementation of effective trial data management and analysis in determining the best varieties and cultivars for targeted regions.</p> <p><i>Crop Variety Trials: Data Management and Analysis</i> provides a holistic view of crop variety trials. The book opens with chapters that provide a sound theoretical framework of variety evaluation and trial analysis. Subsequent chapters provide insights into the theories of quantitative genetics, principles of data analysis, and tools for managing and analyzing this data. The book then provides readers with a practical step-by-step guide to accurately analyzing crop variety trial data. Combined these sections provide the reader with fuller understanding of the nature of variety trials, their objectives, and user-friendly database and statistical tools that will enable them to produce efficient and accurate analysis of data.</p> <p>Accessibly written for breeders, statisticians, and advanced students, <i>Crop Variety Trials: Data Management and Analysis </i>will be a vital practical reference for anyone working in agricultural sciences.</p> <ul> <li>Provides valuable theoretical framework that underpins crop variety evaluation</li> <li>Practical, step-by-step guide to implementing variety trial data analysis</li> <li>Bridges the gap between crop breeding and statistical analysis</li> <li>A valuable resource on an essential aspect of crop breeding, production, and end-use</li> </ul>

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