Biometrical Methods In Quantitative Genetic Analysis Pdf Free Download
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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Author: Daniel Sorensen
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-03-22
This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.
Statistical and Biometrical Techniques in Plant Breeding
The Book Presents A Comprehensive Account Of The Concept And Genesis Of Diverse Biometrical/Statistical Models As Applied To Plant Breeding Experiments Under Different Situations. Generation And Statistical Treatment Of Data; Presentation, Interpretation And Inferences Of Results; Merits, Demerits And Situations Of Applicability Of Models Are All Explicated For Their Adequate And Appropriate Usage In Plant Breeding. The Whole Volume Comprising 25 Chapters Has Been Zipped Into Five Sections Elucidating; General Statistical/Biometrical Parameters And Field Designs (Chapters 1-4), Multivariate Analysis Of Genetic Divergence (Chapters 6-7), Genotype X Environment Interaction And Stability Parameters (Chapters 8-10), Analysis Of Nature Of Gene Action And Variance Components (Chapters 11 -23), And Lastly The Unique Analysis Of Statistical And Genetical Parameters Related To Selection And Mutation Experiments (Chapters 24-25) In Plant Breeding. Simplification Of The Bewildering Complexities Of Biometrical Notations And Procedures In A Language Which Could Easily Be Grasped By Biologists/Geneticists Having Little Or No Statistical Background Is The Hallmark Of The Treatise. Like A Ready-Reckoner, This Work Offers An Efficient Key To Plant Breeding Data-Management For Both Students And Professional Plant Breeders Alike In Pursuit Of Their Research Goals.
Introduction to Biometrical Genetics
Author: Kenneth Mather
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
In the second edition of Biometricai Genetics, which appeared in 1971, we set out to give a general account of the subject as it had developed up to that time. Such an account necessarily had to be comprehensive and reasonably detailed. Although it could be, and indeed has been, used by those who were making an acquaintance with this branch of genetics for the first time, it went beyond their needs. We have been encouraged therefore to write an introduction to the genetical analysis of continuous variation aimed primarily at senior undergraduate and postgraduate students, and concentrating on basic considerations, basic principles and basic techniques. This has meant, of course, omitting all reference to some phenomena of more restricted interest, notably sex-linkage, ma ternal effects, haploidy and polyploidy. It has meant, too, that even with some phenomena which have been included, like interactions, linkage and effective factors, the discussions cannot go into full detail. Anyone who is interested, however, can find further information in Biometricai Genetics, to which detailed references have been given where it ap peared that these would be helpful. The order of presentation has been changed with the aim of making it easier for beginners.