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 Title: Marker-Qtl Associations: Comparisons of Genetic Background Effects in Maize Author(s): Kerns, Michael Richard Doctoral Committee Chair(s): Dudley, John W. Department / Program: Agronomy Discipline: Agronomy Degree Granting Institution: University of Illinois at Urbana-Champaign Degree: Ph.D. Genre: Dissertation Subject(s): Biology, Molecular Abstract: The third chapter was a study of the usefulness of several multivariate statistical techniques not commonly used in crop sciences for identification of marker alleles associated in some manner to QTL. Data from the S$\sb {4:6}$ lines per se and crosses to the Stiff Stalk and Lancaster testers were used for three traits. K-Means clustering and biplots, a form of perceptual mapping, were used. K-Means clustering is a useful tool for identifying favorable and unfavorable profiles of alleles across traits. Biplots were difficult to interpret because of the large number of data points. Issue Date: 1998 Type: Text Language: English Description: 84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998. URI: http://hdl.handle.net/2142/87671 Other Identifier(s): (MiAaPQ)AAI9904504 Date Available in IDEALS: 2015-09-28 Date Deposited: 1998
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