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Quantitative Genetics for Quality Experimentation
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Table of Contents

  • Introduction Basics of Probability Theory
  • Probability
  • Simple and Compound Events
  • Addition and Multiplication Laws
  • Conditional Event and Multiplication Law and Theorem of Probability
  • Multiplication Theorem
  • Partitioning of Sample Space
  • Bayes Theorem
  • Use of Matrix Theory in Solving Problems in the Field of Probability
  • Common Mating Systems Distributions
  • Expectations and Moments of a Variable
  • Discrete and Continuous Distributions
  • Analysis of Variance (ANOVA)
  • Fixed and Random Effects Model: Major Difference
  • t-test and Inferences
  • Duncan’s Multiple Range Test (DMRT)
  • Appendix 3.6 Inference: Essential Basics
  • Important Concepts of Inference
  • Tests of Significance, Confidence Limit and Confidence Interval
  • Likelihood
  • Likelihood Ratio Quantitative Genetics: Genetic Analysis of Phenotypic Variation
  • Basics
  • QT and Genetic Values: Case of a Single Gene
  • Phenotypic and Genetic Variance
  • Alternate Formulation of Additive Genetic Variance and Interpretation of Additive Effect
  • Generation Means and Genetic Effects
  • Additive Genetic Variance and Natural Selection
  • Two Genes
  • QT Values in Two Genes
  • Genetic Effects and Variances
  • Various Types of Gene Interaction Inbreeding and Heterosis: Genotypic Frequencies Under Inbreeding
  • Li’s Formulation of Inbreeding Coefficient
  • Additive Genetic Variance Under Inbreeding
  • Useful Relationships Involving Inbreeding
  • Heterosis
  • Inbreeding Depression
  • Breeding Value Genetic Divergence: Basics of Genetic Divergence
  • Numerical Example
  • Importance of Characters in Genetic Differentiation
  • Genetic Divergence and Heterosis
  • Implications of Genetic DivergenceHeterosis Hypothesis in Plant Breeding
  • Appendix 1: The process of obtaining linear combinations Y using
  • error variance-covariance matrix in Section 7.2 Mating Systems: Diallel Crosses
  • Covariance Between Relatives
  • Half-sibs and Full-sibs
  • Covariance of Half- and Full-sibs in the General Case
  • Diallel Crosses (Griffing’s Approach)
  • Line × Tester Design
  • Partial Diallel Cross
  • Multiple Crosses
  • Diallel Crosses: Some General Observations

About the Author

V. Arunachalam is head of Division of Genetics at Indian Agricultural Research Institute, New Delhi , India. He has been Ex-Distinguished Fellow & Technical Program Leader at M.S. Swaminathan Research Foundation, Chennai, India. He has earned PhD from Cambridge University, England.

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