GGE Biplot Analysis
A Graphical Tool for Breeders, Geneticists, and Agronomists
Published on 28. August 2002
288 pages
978-1-4200-4037-1 (ISBN)
Description
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 analys
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Crop scientists/plant scientists (breeders and geneticists) in academia, private industry and government; agricultural experimental statisticians; plant pathologists; ecologists: animal scientists
Illustrations
168 s/w Abbildungen, 36 s/w Tabellen
168 b/w images and 36 tables
File size
9,54 MB
ISBN-13
978-1-4200-4037-1 (9781420040371)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Weikai Yan | Manjit S. Kang
GGE Biplot Analysis
A Graphical Tool for Breeders, Geneticists, and Agronomists
Book
12/2019
1st Edition
CRC Press
€91.90
Shipment within 15-20 days
Weikai Yan | Manjit S. Kang
GGE Biplot Analysis
A Graphical Tool for Breeders, Geneticists, and Agronomists
Book
08/2002
1st Edition
CRC Press
€235.44
Shipment within 15-20 days
Persons
Weikai Yan is a Research Scientist and Oat Breeder with Agriculture and Agri-Food Canada. Manjit S. Kang (Punjab Agricultral University, Ludhiana, India).
Content
Genotype-by-Environment Interaction. Stability Analyses in Plant Breeding and Performance Trials. Theory of Biplot. Introduction to GGE Biplot. Biplot Analysis of Multi-environment Trial Data. GGE Biplot Software-The Solution for GGE Biplot Analyses. Cultivar Evaluation Based on Multiple Traits. QTL Identification Using Biplots. Biplot Analysis of Diallel Data. Biplot Analysis of Host Genotype-by-Pathogen Strain Interactions. Biplot Analysis to Detect Synergism Between Genotypes of Different Species.
