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Full Description
A simple solution to complicated statistical techniques and formulas!
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 shortcut to sorting through piles of literature in search of programs that may have been published in abbreviated forms or never at all.
The Handbook of Formulas and Software for Plant Geneticists and Breeders puts full-fledged program codes of specialized statistical and genetics-related software programs at your fingertips. It shows practicing geneticists, breeders, and students how to use specialized software through practical examples. The book is an excellent research and teaching tool in quantitative genetics and plant breeding, providing definitions of key terms and information on how to obtain desired software and key references. It also includes an extensive listing of programs available for linkage and mapping software that can be accessed through the Internet.
The Handbook of Formulas and Software for Plant Geneticists and Breeders presents, among others, programs related to:
genotype-by-environmental interaction (GEI) and stability analysis
genetic diversity estimation
best linear unbiased predictors (BLUPs)
principal component and additive main effects and multiplicative interaction (AMMI) analyses
quantitative trait loci -by-environment (QTL x E) analysis
GGE biplot analysis
diallel analyses
path analysis
trend analysis
field plot technique
The Handbook of Formulas and Software for Plant Geneticists and Breeders is essential for academics and researchers working in genetics, breeding, and genomics, and as a supplement for coursework in quantitative genetics and plant breeding.
Contents
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 QTL-by-Environment Interaction Effects for Developmental Traits
Chapter 21. Mapping QTL with Epistatic Effects and QTL-by-Environment Interaction Effects
Chapter 22. Gene Segregation and Linkage Analysis
Chapter 23. Mapping Functions
Chapter 24. Bootstrap and Jackknife for Genetic Diversity Parameter Estimates
Chapter 25. Software on Genetic Linkage and Mapping Available Through the Internet
Chapter 26. Gregor
Chapter 27. Analysis for an Experiment Designed As Augmented Lattice Square Design
Chapter 28. Augmented Row-Column Design and Trend Analyses
Chapter 29. PROC GLM and PROC MIXED Codes for Trend Analyses for Row-Column-Designed Experiments
Chapter 30. SAS/GLM and SAS/MIXED for Trend Analyses Using Fourier and Polynomial Regression for Centered and Noncentered Variates
Chapter 31. PROC GLM and PROC MIXED for Trend Analysis of Incomplete Block- and Lattice Rectangle-Designed Experiments
Chapter 32. Partitioning Crop Yield into Genetic Components
Short Note 1. Inbreeding Coefficient in Mass Selection Maize
Short Note 2. Regression of Forage Yield Against a Growth Index As a Tool for Interpretation of Multiple Harvest Data
Short Note 3. Tolerance Index
Short Note 4. Computer Program to Calculate Population Size
Index
Reference Notes Included
