Statistical Methods and Biometrical Techniques in Plant Breeding

by Nimitha, K. & Neethu Francis

ISBN: 9789354613456
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Imprint : Daya Publishing House
Year : 2022
Price : Rs. 6795.00
Biblio : xii+182., tabls ind., 25 cm

Author Profile

K. Nimitha is a Ph.D. Research Scholar (CSIR-UGC JRF) in Bidhan Chandra Krishi Viswavidyalaya, West Bengal. She qualified ICAR NET (Genetics and Plant Breeding) and CSIR NET (Life Sciences). She received her B.Sc. (Hons.) Agriculture from Kerala Agricultural University, Thrissur and M.Sc. (Genetics and Plant Breeding) from Anand Agricultural University, Gujarat. She has published research papers in various national and international journals of repute. She has also worked as Agricultural Extension Officer in Canara Bank. Neethu Francis is a Ph.D. Research Scholar in Tamil Nadu Agricultural University (TNAU), Coimbatore. She has qualified ICAR NET(Genetics and Plant Breeding). She did her Post-Graduation in Genetics and Plant Breeding in TNAU and B.Sc. (Hons.) Agriculture in Kerala Agricultural University, Thrissur. She has several research publications and popular articles to her credit. She has also served as Assistant Manager (Rural Development) in Syndicate Bank.

About The Book

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. This book is envisaged to facilitate preparations for competitive examinations like ICAR NET/ARS, JRF, SRF, CSIR NET/JRF.

Table of Contents

Preface v SECTION 1 – (A) BASIC STATISTICS 1. Frequency Distribution 3 2. Measures of Central Tendency 5 3. Probability Theory and Probability Distribution 7 4. Tests of Significance 10 5. Correlation 14 6. Regression 17 7. Design of Experiments: Basic Principles 19 8. Design of Experiments 22 SECTION 1 – (B) BIOMETRICAL AND QUANTITATIVE GENETICS 9. Quantitative Characters and Multiple Factor Inheritance 33 10. Genetic Advance 38 11. Selection: Types and Response 41 12. Hardy-Weinberg Law 45 13. Polymorphism and Linkage Disequilibrium 49 14. Breeding Value 51 15. Heritability 53 16. Estimates of Variance Components 58 17. Diallel Mating Design 60 18. L x T Analysis 66 19. North Carolina Designs 69 20. Stability Analysis 73 21. Heterosis 78 22. Scaling Test and Components of Generation Means 81 23. Genetic Divergence: D2 Statistics, Metroglyph 87 24. Multivariate Analysis 91 SECTION 2 – OBJECTIVE QUESTIONS 1. Basic Statistics 95 2. Biometrical and Quantitative Genetics – Introduction 104 3. Quantitative Characters, Multiple Factor Inheritance, Genetic Control of Polygenic Characters 109 4. Genetic Variance 114 5. Breeding Value 120 6. Diallel Analysis 123 7. Line x Tester Analysis 132 8. Generation Mean Analysis 136 9. Stability Analysis 145 10. Biparental Cross Analysis 154 11. Hardy-Weinberg Law 159 12. Genetic Advance and Heritability 167 13. Types of Selection, Response to Selection and Correlated Response 174 14. Heterosis 177 References 181