Crop Variety Trials

Data Management and Analysis

Inbunden, Engelska, 2014

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Beskrivning

Variety trials are an essential step in crop breeding and production. These trials are a significant investment in time and resources and inform numerous decisions from cultivar development to end-use. Crop Variety Trials: Methods and Analysis is a practical volume that provides valuable theoretical foundations as well as a guide to step-by-step implementation of effective trial methods and analysis in determining the best varieties and cultivars.Crop Variety Trials is divided into two sections. The first section provides the reader with a sound theoretical framework of variety evaluation and trial analysis. Chapters provide insights into the theories of quantitative genetics and principles of analyzing data. The second section of the book gives the reader 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 accurate analysis of data.

Produktinformation

Utgivningsdatum:2014-05-16
Mått:178 x 252 x 23 mm
Vikt:853 g
Format:Inbunden
Språk:Engelska
Antal sidor:360
Förlag:John Wiley and Sons Ltd
ISBN:9781118688649

Utforska kategorier

Agronomi och lantbruk inom Naturvetenskap och teknik

Mer om författaren

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

Recensioner i media

“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.” (Crop Science, 1 November 2014)

Innehållsförteckning

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