Overview

Research data is expensive and precious, yet it is seldom fully utilized due to our ability of comprehension. Graphical display is desirable, if not absolutely necessary, for fully understanding large data sets with complex interconnectedness and interactions. The newly developed GGE biplot methodology is a superior approach to the graphical analysis of research data and may revolutionize the way researchers analyze data. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists introduces the theory of the GGE biplot methodology and describes its applications in visual analysis of multi-environment trial (MET) data and other types of research data. The text includes three parts: I) Genotype by environment interaction and stability analysis, II) GGE biplot and multi-environment trial (MET) data analysis, and III) GGE biplot software and applications in analyzing other types of two-way data. Part I presents a comprehensive but succinct treatment of genotype-by-environment (G x E) interaction in order to provide an overall picture of the entire G x E issue and to show how GGE biplot methodology fits in. Part II describes and demonstrates the numerous utilities of a GGE biplot in visualizing MET data. Part III describes the ""GGE biplot"" software and extends its application to the analysis of genotype by trait data, QTL mapping data, diallel cross data, and host by pathogen data. Altogether, this book demonstrates that the GGE biplot methodology is a superior data-visualization tool and allows the researcher to graphically extract and utilize the information from MET data and other types of two-way data to the fullest extent. GGE Biplot Analysis makes this useful technology accessible on a wider scale to plant and animal breeders, geneticists, agronomists, ecologists, and students in these and other related research areas. The information presented here will greatly enhance researchers' ability to understand their data and will mak

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Reviews

The objective (of this book) is to demonstrate the power of this (biplot) graphical analysis and enable other scientists to effectively use the methodology and software to gain more insight into their own data. I believe that Yan and Kang have achieved this objective and that someone who has not used this ordination approach before could do so with this book as their guide. A major advantage of biplot methodology is that it can be applied to any two-way data with multiple entries and multiple attributes in order to obtain a better understanding of the relationships among entries, relationships among attributes, and the interactions between entries and attributes. Hence the material in this book will be of benefit to any scientists working with such data. I believe no other book covers this methodology and software in equivalent depth and breadth. I have no hesitation in recommending this book to breeders, geneticists, agronomists, ecologists, and to biometricians working with them. The biplot methodology greatly enhances the ability to understand and interpret two-way data and this graphical analysis can be readily implemented with the GGEbiplot software. - K. E. Basford, in Biometrics, Vol 59, 2003

"""The objective (of this book) is to demonstrate the power of this (biplot) graphical analysis and enable other scientists to effectively use the methodology and software to gain more insight into their own data. I believe that Yan and Kang have achieved this objective and that someone who has not used this ordination approach before could do so with this book as their guide. ""A major advantage of biplot methodology is that it can be applied to any two-way data with multiple entries and multiple attributes in order to obtain a better understanding of the relationships among entries, relationships among attributes, and the interactions between entries and attributes. Hence the material in this book will be of benefit to any scientists working with such data. I believe no other book covers this methodology and software in equivalent depth and breadth. ""I have no hesitation in recommending this book to breeders, geneticists, agronomists, ecologists, and to biometricians working with them. The biplot methodology greatly enhances the ability to understand and interpret two-way data and this graphical analysis can be readily implemented with the GGEbiplot software."" - K. E. Basford, in Biometrics, Vol 59, 2003"

Author Information

Yan, Weikai; Kang, Manjit S.

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