Speaker: Meiqin Zhang
Department of Experimental Statistics
Title: "VISUAL ANALYSIS FOR CULTIVAR EVALUATION ON SOYBEAN DATA USING GGE
BIPLOT"
Date: Tuesday, Oct. 12, 2004
Time: 3:30-4:30pm
Place: 248 Agricultural Admin. Bldg.
Abstract:
Multi-environment trials (MET) are conducted every year for major
crops in different areas of different countries to evaluate cultivars
and make recommendations. This has been an important issue in plant
breeding and agricultural research. Superior crop cultivars must be
identified through MET. Typically, in multi-environment trials, there
are two types of data, genotype by environment data and genotype by
trait data. GGE biplot software is a powerful and ideal tool to
visually analyze these two types of MET data. The methodology has
numerous merits. It can draw conclusions visually and reveal patterns
more easily and elegantly. In this study, we used GGE biplot software
to analyze a two year and two location soybean data from the
Agricultural Research Station of Virginia State University. The
results have provided insightfully graphic views on yield and multiple
trait performance, as well as the correlations among traits for
soybean maturity groups.
Key words: GGE biplot, Singular value decomposition, Principal
component, Vector, Correlation
Visitors to our seminars are always welcome. Please join us!
Time stamp: Fri Oct 8 17:43:12 UTC 2004