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Contents: Preface. Section I: (A) Basic Statistics: 1. Frequency distribution. 2. Measures of central tendency. 3. Probability theory and probability distribution. 4. Tests of significance. 5. Correlation. 6. Regression. 7. Design of experiments: basic principles. 8. Design of experiments. Section I: (B) Biometrical and Quantitative Genetics: 9. Quantitative characters and multiple factor inheritance. 10. Genetic advance. 11. Selection: types and response. 12. Hardy-Weinberg law. 13. Polymorphism and linkage disequilibrium. 14. Breeding value. 15. Heritability. 16. Estimates of variance components. 17. Diallel mating design. 18. L x T analysis. 19. North Carolina designs. 20. Stability analysis. 21. Heterosis. 22. Scaling test and components of generation means. 23. Genetic divergence: D2 Statistics, Metroglyph. 24. Multivariate analysis. Section II: Objective Questions: 1. Basic statistics. 2. Biometrical and quantitative genetics-introduction. 3. Quantitative characters, multiple factor inheritance, genetic control of polygenic characters. 4. Genetic variance. 5. Breeding value. 6. Diallel analysis. 7. Line xTester analysis. 8. Generation mean analysis. 9. Stability analysis. 10. Biparental cross analysis. 11. Hardy-Weinberg law. 12. Genetic advance and heritability. 13. Types of selection, response to selection and correlated response. 14. Heterosis. References. 

Biometrics and statistics have become integral to the understanding of genetics and plant breeding experiments. It is important to gain knowledge of these aspects for expertise in practical applications of life sciences and to excel in competitive examinations. This book covers ARS (Agricultural and Research Scientist) and SRF (Senior Research Fellow) syllabus on statistical and biometrical concepts in genetics and plant breeding, prescribed by ICAR. It is written in simple question-answer pattern for easy and quick comprehension of the subject, followed by multiple choice section for self-evaluation.