Crop Variety Trials: Data Management and Analysis - Hardcover

Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

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

Aus dem Klappentext

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