Biometrical Methods in Quantitative Genetic Analysis PDF Download

Author: R. K. Singh
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Darbeshwar Roy
Publisher: Alpha Science International, Limited
ISBN: 9781842657102
Category : Science
Languages : en
Pages : 410

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Book Description
BIOMETRICAL GENETICS: Analysis of Quantitative Variation describes the genetic analyses for working out the genetic architecture of quantitative traits. The book provides brief description of both univariate and multivariate statistics. The genetic analyses include study of basic generations and the use of multiple mating designs such as BIPs, NC1, NC2, Diallel, NC3 and TTC. Variation arising due to linkage, epistasis, environment, maternal effect and sex linkage are also described. Models of G x E interaction and competition and biometrical genetics of polyploids and haploid are discussed in detail. Biometrical genetics of heterosis and inbreeding depression and the method for calculation of inbreeding coefficient are given. Methods for estimation of heritability and number of effective factors are completely described. H-W equilibrium and the evolutionary forces are described in detail. Selection theory including path coefficient analysis is fully described. QTL analysis and models for estimating genetic parameters are also fully described. This book also includes a chapter on matrix and biometrical problems which will help in carrying out practical in this course. This book will be helpful to undergraduate and post-graduate students as well as teachers and researchers in the field of quantitative genetics and practical plant breeding.

Author: Jawahar R. Sharma
Publisher: New Age International
ISBN: 9788122408881
Category :
Languages : en
Pages : 462

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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.

Author: Daniel Sorensen
Publisher: Springer Science & Business Media
ISBN: 0387954406
Category : Science
Languages : en
Pages : 745

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Book Description
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.

Author: N. Nadarajan
Publisher:
ISBN: 9788127224547
Category : Plant breeding
Languages : en
Pages : 258

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Author: David J. Balding
Publisher: John Wiley & Sons
ISBN: 1119429250
Category : Science
Languages : en
Pages : 1740

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A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.

Author: Kenneth Mather
Publisher: Springer Science & Business Media
ISBN: 1461333873
Category : Science
Languages : en
Pages : 239

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Book Description
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.

Author: Fikret Isik
Publisher: Springer
ISBN: 3319551779
Category : Science
Languages : en
Pages : 409

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Book Description
This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.

Author: Kenneth Mather
Publisher: Springer
ISBN: 1489934049
Category : Science
Languages : en
Pages : 394

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Book Description
The properties of continuous variation are basic to the theory of evolution and to the practice of plant and animal improvement. Yet the genetical study of continuous variation has lagged far behind that of discontinuous variation. The reason for this situation is basically methodological. Mendel gave us not merely his principles of heredity, but also a method of experiment by which these principles could be tested over a wider range of living species, and extended into the elaborate genetical theory of today. The power of this tool is well attested by the speed with which genetics has grown. In less than fifty years, it has not only developed a theoretical structure which is unique in the biological sciences, but has established a union with nuclear cytology so close that the two have become virtually a single science offering us a new approach to problems so diverse as those of evolution, development, disease, cellular chemistry and human welfare. Much of this progress would have been impossible and all would have been slower without the Mendelian method of recognizing and using unit differences in the genetic materials.

Author: G. S. Chahal
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842650363
Category : Nature
Languages : en
Pages : 628

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Alternate approaches for the exploitation of heterosis and population improvement have been elaborated with the help of schematic diagrams.