Crop Variety Trials: Data Management and Analysis

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. Crop Variety Trials: Data Management and Analysis 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. Crop Variety Trials: Data Management and Analysis 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. Accessibly written for breeders, statisticians, and advanced students, Crop Variety Trials: Data Management and Analysis will be a vital practical reference for anyone working in agricultural sciences. Provides valuable theoretical framework that underpins crop variety evaluation Practical, step–by–step guide to implementing variety trial data analysis Bridges the gap between crop breeding and statistical analysis A valuable resource on an essential aspect of crop breeding, production, and end–use

Preface Chapter 1 Theoretical Framework for Crop Variety Trials Chapter 2 An Overview of Variety Trial Data and Analyses Chapter 3 Introduction to Biplot Analysis Chapter 4 Data Centering for Biplot Analysis Chapter 5 Data Scaling and Weighting for GGE Biplot Analysis Chapter 6 Frequently Asked Questions About Biplot Analysis Chapter 7 Single–Trial Data Analysis Chapter 8 Genotype–by–Location Two–Way Data Analysis Chapter 9 Genotype–by–Trait Data Analysis and Decision–Making Chapter 10 Trait Association–by–Environment Two–Way Table Analysis Chapter 11 Location–by–Trait Two–Way Data Analysis Chapter 12 Mega–environment Analysis Based on Multiyear Data Chapter 13 Test Location Evaluation Based on Multiyear Data Chapter 14 Genotype Evaluation Based on Multiyear Data Chapter 15 Building and Utilizing a Relational Database for Crop Variety Trial Data Chapter 16 Experimental Design for Variety Trials and Breeding Nurseries Chapter 17 Modules and Functions in GGEbiplot Chapter 18 Conclusions References Index