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Statistical And Biometrical Techniques In Plant Breeding By Jawahar R. Sharma.pdf


Statistical And Biometrical Techniques In Plant Breeding By Jawahar R. Sharma.pdf




Plant breeding is the science and art of improving crop plants through the selection and manipulation of their genetic variation. Plant breeders aim to develop new varieties that have desirable traits such as high yield, disease resistance, quality, and adaptation to different environments. To achieve this goal, plant breeders need to understand the nature and extent of genetic variation in their breeding materials, and how to use it effectively in different breeding methods.


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Statistical and biometrical techniques are essential tools for plant breeders to analyse the data generated from various experiments and to draw valid conclusions. Statistical techniques help to summarize, present, and interpret the data, while biometrical techniques help to estimate the genetic parameters and effects of different factors on the traits of interest. Statistical and biometrical techniques also help to design efficient experiments and to optimize the selection procedures.


One of the most comprehensive books on this topic is "Statistical and Biometrical Techniques in Plant Breeding" by Jawahar R. Sharma. This book covers a wide range of statistical and biometrical models and methods that are applicable to plant breeding experiments under different situations. The book is divided into five parts, each focusing on a specific aspect of plant breeding data analysis:



  • Part I: General Statistical/Biometrical Parameters and Field Designs (Chapters 1-4). This part introduces the basic concepts and terms of statistics and biometry, such as mean, variance, covariance, correlation, regression, ANOVA, etc. It also discusses the principles and types of field designs, such as randomized block design, Latin square design, split-plot design, etc.



  • Part II: Multivariate Analysis of Genetic Divergence (Chapters 5-7). This part deals with the methods of measuring and partitioning the genetic diversity among different groups of genotypes, such as principal component analysis, canonical vector analysis, cluster analysis, etc.



  • Part III: Genotype x Environment Interaction and Stability Parameters (Chapters 8-10). This part explains the concept and significance of genotype x environment interaction (GEI), which refers to the differential performance of genotypes across different environments. It also describes various methods of estimating and analysing the stability parameters of genotypes, such as regression analysis, AMMI model, GGE biplot, etc.



  • Part IV: Analysis of Nature of Gene Action and Variance Components (Chapters 11-23). This part covers the most important aspect of plant breeding data analysis, which is the estimation of the genetic effects and variance components of quantitative traits. It covers various models and methods for analysing different types of mating designs, such as line x tester analysis, partial diallel analysis, factorial analysis of generation means, North Carolina designs, Griffing's diallel analysis, Gardner and Eberhart's diallel analysis, etc. It also discusses the detection and estimation of epistasis (non-additive gene interaction) and its implications for plant breeding.



  • Part V: Statistical-Genetical Parameters in Selection and Mutation Experiments (Chapters 24-25). This part deals with the special cases of plant breeding data analysis involving selection and mutation experiments. It explains how to estimate the selection response, selection intensity, selection differential, heritability, genetic advance, etc. It also describes how to analyse the data from mutation experiments using various statistical-genetical parameters.




The book is written in a simple and lucid language that can be easily understood by biologists/geneticists having little or no statistical background. The book provides numerous examples and exercises to illustrate the application of various models and methods in plant breeding data analysis. The book also provides references to relevant literature for further reading.


"Statistical and Biometrical Techniques in Plant Breeding" by Jawahar R. Sharma is a valuable resource for students, researchers, teachers, and practitioners of plant breeding who want to learn and apply the statistical and biometrical techniques in their work. The book is available in PDF format online , as well as in print form from New Age International Publishers.



References



  • Jawahar R. Sharma (2006). Statistical and Biometrical Techniques in Plant Breeding. New Age International Publishers.



  • Google Books. Statistical and Biometrical Techniques in Plant Breeding - Jawahar R. Sharma.



  • Indian Journal of Genetics and Plant Breeding. Statistical and Biometrical Techniques in Plant Breeding - Jawahar R. Sharma.




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