Handbook of Formulas and Software for Plant Geneticists and Breeders
eBook - ePub

Handbook of Formulas and Software for Plant Geneticists and Breeders

  1. 347 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Formulas and Software for Plant Geneticists and Breeders

About this book

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.

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Yes, you can access Handbook of Formulas and Software for Plant Geneticists and Breeders by Manjit S. Kang in PDF and/or ePUB format, as well as other popular books in Mathematics & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
eBook ISBN
9781040288610
Edition
0

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. About the Editor
  7. Contributors
  8. Preface
  9. Chapter 1. DIALLEL-SAS: A Program for Griffing's Diallel Methods
  10. Chapter 2. Diallel Analysis for a Seed and Endosperm Model with Genotype-by-Environment Interaction Effects
  11. Chapter 3. Diallel Analysis for an Additive-Dominance Model with Genotype-by-Environment Interaction Effects
  12. Chapter 4. Diallel Analysis for an Additive-Dominance-Epistasis Model with Genotype-by-Environment Interaction Effects
  13. Chapter 5. Diallel Analysis for an Animal Model with Sex-Linked and Maternal Effects Along with Genotype-by-Environment Interaction Effects
  14. Chapter 6. Generation Means Analysis
  15. Chapter 7. PATHS AS: Path Coefficient Analysis of Quantitative Traits
  16. Chapter 8. Restricted Maximum Likelihood Procedure to Estimate Additive and Dominance Genetic Variance Components
  17. Chapter 9. Calculating Additive Genetic Correlation Using ANOVA and the Sum Method of Estimating Covariance
  18. Chapter 10. Developmental Analysis for Quantitative Traits
  19. Chapter 11. Ecovalence and Stability Variance
  20. Chapter 12. Genotype-by-Environment Interaction Variance
  21. Chapter 13. Code for Simulating Degrees of Freedom for the Items in a Principal Components Analysis of Variance
  22. Chapter 14. Principal Components (PC) and Additive Main Effects and Multiplicative Interaction (AMMI) Trend Analyses for Incomplete Block and Lattice Rectangle-Designed Experiments
  23. Chapter 15. A Method for Classifying Observations Using Categorical and Continuous Variables
  24. Chapter 16. Mixed Linear Model Approaches for Quantitative Genetic Models
  25. Chapter 17. Best Linear Unbiased Prediction (BLUP) for Genotype Performance
  26. Chapter 18. Graphing GE and GGE Biplots
  27. Chapter 19. Analysis for Regional Trials with Unbalanced Data
  28. Chapter 20. Conditional Mapping of QTL with Epistatic Effects and QTL-by-Environment Interaction Effects for Developmental Traits
  29. Chapter 21. Mapping QTL with Epistatic Effects and QTL-by-Environment Interaction Effects
  30. Chapter 22. Gene Segregation and Linkage Analysis
  31. Chapter 23. Mapping Functions
  32. Chapter 24. Bootstrap and Jackknife for Genetic Diversity Parameter Estimates
  33. Chapter 25. Software on Genetic Linkage and Mapping Available Through the Internet
  34. Chapter 26. Gregor
  35. Chapter 27. Analysis for an Experiment Designed As Augmented Lattice Square Design
  36. Chapter 28. Augmented Row-Column Design and Trend Analyses
  37. Chapter 29. PROC GLM and PROC MIXED Codes for Trend Analyses for Row-Column-Designed Experiments
  38. Chapter 30. SAS/GLM and SAS/MIXED for Trend Analyses Using Fourier and Polynomial Regression for Centered and Noncentered Variates
  39. Chapter 31. PROC GLM and PROC MIXED for Trend Analysis of Incomplete Block- and Lattice Rectangle-Designed Experiments
  40. Chapter 32. Partitioning Crop Yield into Genetic Components
  41. Short Note 1. Inbreeding Coefficient in Mass Selection in Maize
  42. Short Note 2. Regression of Forage Yield Against a Growth Index As a Tool for Interpretation of Multiple Harvest Data
  43. Short Note 3. Tolerance Index
  44. Short Note 4. Computer Program to Calculate Population Size
  45. Index