Presents a radically alternative approach to analyzing and interpreting plant breeding data.
PART AIntroduction to Part AThe ExampleStyles of AnalysisPART BIntroduction to Part BOverall Behaviour: SPLOMs across Attributes and across EnvironmentsSemigraphical Comparison of Genotypes for ech Attibute-Environment PairProfiles of Individual Genotypes and GroupsSPLOMs for Genotype GroupsRe-Attribution of the Responses on the 43 GenotypesSemigraphical Displays for the Re-Attributed DataRe-EnvionmentingRe-ExpressionPART CIntroduction to Part CGlobal Aspects of the DataData LaundryChoices of ExpressionSeeking Exotic ValuesLocal Analyses and DisplaysCombined AnalysesGrouping and Labelling GenotypesIdolinkage, Nearest and CentroidOther Blended Forms; Xpanded IdiolinkageRobust Forms of IdiolinkageIdiomaxRobust SpheringA Side Issue and More Carful SpheringDetrivialization of One- and Two-Way Tables: An IntroductionLater Attributes and SubtablesSphering the Soybean DataGrouping the Soybean GenotypesOrdering the EnvironmentsOne Approach to PlottingSmoothing Short Sequences (of perhaps 6 to 18 Values)Presentations across AttibutesChoice of Expression: GeneralitiesRemovable Inhomogeneity of VariabilityRemovable Non-AdditivityLinearity of ResponseRelative Importance and CombinationInterpretation and HybridizationAPPENDICESREFERENCES
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