Biplot analysis of multi-environment trial data: Principles and applications

被引:930
作者
Yan, Weikai [1 ]
Tinker, Nicholas A. [1 ]
机构
[1] Agr & Agri Food Canada, Eastern Cereal & Oilseed Res Ctr, Ottawa, ON K1A 0C6, Canada
关键词
biplot analysis; genotype by environment interaction; mega-environment; multi-environment trials;
D O I
10.4141/P05-169
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Biplot analysis has evolved into an important statistical tool in plant breeding and agricultural research. Here we review the basic principles of biplot analysis and recent developments in its application in analyzing multi-environment trail (MET) data, with the aim of providing a working guide for breeders, agronomists, and other agricultural scientists on biplot analysis and interpretation. The review is divided into four sections. The first section is a complete but succinct description of the principles of biplot analysis. The second section is a detailed treatment of biplot analysis of genotype by environment data. It addresses environment and genotype evaluation from all perspectives. The third section deals with biplot analysis of various two-way tables that can be generated from a three-way MET dataset, which is an integral and essential part to a fuller understanding and exploration of MET data. The final section discusses questions that are frequently asked about biplot analysis. Methods described in this review are available in a user-friendly, interactive software package called "GGEbiplot".
引用
收藏
页码:623 / 645
页数:23
相关论文
共 34 条
[1]   BIPLOT AS A DIAGNOSTIC TOOL FOR MODELS OF 2-WAY TABLES [J].
BRADU, D ;
GABRIEL, KR .
TECHNOMETRICS, 1978, 20 (01) :47-68
[2]  
Byth DE., 1981, INTERPRETATION PLANT
[3]   RELATIONSHIPS AMONG ANALYTICAL METHODS USED TO STUDY GENOTYPIC VARIATION AND GENOTYPE-BY-ENVIRONMENT INTERACTION IN PLANT-BREEDING MULTI ENVIRONMENT EXPERIMENTS [J].
COOPER, M ;
DELACY, IH .
THEORETICAL AND APPLIED GENETICS, 1994, 88 (05) :561-572
[4]  
Cooper M., 1996, P193
[5]   Estimation of general linear-bilinear models for two-way tables [J].
Cornelius, PL ;
Seyedsadr, MS .
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 1997, 58 (04) :287-322
[6]  
CROSSA J, 1993, INTERNATIONAL CROP SCIENCE I, P571
[7]  
Dias CTD, 2003, CROP SCI, V43, P865, DOI 10.2135/cropsci2003.0865
[8]   Goodness of fit of biplots and correspondence analysis [J].
Gabriel, KR .
BIOMETRIKA, 2002, 89 (02) :423-436
[9]  
GABRIEL KR, 1971, BIOMETRIKA, V58, P453, DOI 10.2307/2334381
[10]  
Gauch, 1996, GENOTYPE BY ENV INTE