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Informationen zum Autor Manjit S. Kang Klappentext The Handbook of Formulas and Software for Plant Geneticists and Breeders is an up-to-date reference source that eliminates the need for hand calculations of complicated genetic formulas and equations. Contributions from members of the C1 Division of the Crop Science Society of America include computer program codes not found in Statistical Analysis System (SAS) and other commonly available statistical packages. The book provides an invaluable alternative to sorting through piles of literature in search of programs that may have been published in abbreviated forms or never at all. To view an excerpt online! find the book in our QuickSearch catalog at www.HaworthPress.com. Zusammenfassung Features contributions from members of the C1 Division of the Crop Science Society of America that include computer program codes. This book provides an alternative to sorting through piles of literature in search of programs that may have been published in abbreviated forms. Inhaltsverzeichnis About the Editor , Contributors , Preface , Chapter 1. DIALLEL-SAS: A Program for Griffing's Diallel Methods , Chapter 2. Diallel Analysis for a Seed and Endosperm Model with Genotype-by-Environment Interaction Effects , Chapter 3. Diallel Analysis for Additive-Dominance Model with Genotype-by-Environment Interaction Effects , Chapter 4. Diallel Analysis for an Additive-Dominance-Epistasis Model with Genotype-by-Environment Interaction Effects , Chapter 5. Diallel Analysis for an Animal Model with Sex-Linked and Maternal Effects Along with Genotype-by-Environment Interaction Effects , Chapter 6. Generation Means Analysis , Chapter 7. PATHSAS: Path Coefficient Analysis of Quantitative Traits , Chapter 8. Restricted Maximum Likelihood Procedure to Estimate Additive and Dominance Genetic Variance Components , Chapter 9. Calculating Additive Genetic Correlation Using ANOVA and the Sum Method of Estimating Covariance , Chapter 10. Developmental Analysis for Quantitative Traits , Chapter 11. Ecovalence and Stability Variance , Chapter 12. Genotype-by-Environment Interaction Variance , Chapter 13. Code for Simulating Degrees of Freedom for the Items in a Principal Components Analysis of Variance , Chapter 14. Principal Components (PC) and Additive Main Effects and Multiplicative Interaction (AMMI) Trend Analyses for Incomplete Block and Lattice Rectangle-Designed Experiments , Chapter 15. A Method for Classifying Observations Using Categorical and Continuous Variables , Chapter 16. Mixed Linear Model Approaches for Quantitative Genetic Models , Chapter 17. Best Linear Unbiased Prediction (BLUP) for Genotype Performance , Chapter 18. Graphing GE and GGE Biplots , Chapter 19. Analysis for Regional Trials with Unbalanced Data , Chapter 20. Conditional Mapping of QTL with Epistatic Effects and Q...
