Full TGIF Record # 20408
Item 1 of 1
DOI:10.21273/HORTSCI.25.9.1173e
Web URL(s):https://journals.ashs.org/hortsci/view/journals/hortsci/25/9/article-p1173e.xml?rskey=tsBmst
    Last checked: 11/07/2019
    Requires: PDF Reader
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Fernandez, George C. J.
Author Affiliation:Plant Science Department, University of Nevada, Reno
Title:The biplot display of the tall fescue turf variety trial data
Source:HortScience. Vol. 25, No. 9, September 1990, p. 173.
Publishing Information:St. Joseph, MI: American Society for Horticultural Science
Keywords:TIC Keywords: Breeding; Statistics
Abstract/Contents:"The interpretation of variety trials conducted with many genotypes (G) grown in many environments (E) is usually complicated by the presence of the significant G x E interaction. The common statistical analysis using ANOVA and linear regression techniques are often inadequate to study the complex two-way data structure. The biplot, a mulivariate technique provides, a graphical representation of the interaction, which allows the response of each G in each E to be displayed in a two dimensional plot. It displays not only the configuration of G and E, but it also relates the two. The importance of biplot display is illustrated by using the tall fescue variety trial data on mean quality ratings published by the National Turfgrass Evaluation Program. The biplot displays about 60% of the information in the 24 (G) x 23 (E) data matrix. Environments TX3 and GA1 responded differently from other environments. Based on the biplot display genotypes are grouped and their significance will be discussed."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Fernandez, G. C. J. 1990. The biplot display of the tall fescue turf variety trial data. HortScience. 25(9):p. 173.
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DOI: 10.21273/HORTSCI.25.9.1173e
Web URL(s):
https://journals.ashs.org/hortsci/view/journals/hortsci/25/9/article-p1173e.xml?rskey=tsBmst
    Last checked: 11/07/2019
    Requires: PDF Reader
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