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.
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
Manjit S. Kang
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