Quantitative Genetics Download Ebook PDF Epub Online

Author : Derek A. Roff
Publisher : Springer Science & Business Media
Release : 2012-12-06
Page : 494
Category : Science
ISBN 13 : 1461540801
Description :


The impetus for this book arose out of my previous book, The Evolution of Life Histories (Roff, 1992). In that book I presented a single chapter on quanti tative genetic theory. However, as the book was concerned with the evolution of life histories and traits connected to this, the presence of quantitative genetic variation was an underlying theme throughout. Much of the focus was placed on optimality theory, for it is this approach that has proven to be extremely successful in the analysis of life history variation. But quantitative genetics cannot be ig nored, because there are some questions for which optimality approaches are inappropriate; for example, although optimality modeling can address the ques tion of the maintenance of phenotypic variation, it cannot say anything about genetic variation, on which further evolution clearly depends. The present book is, thus, a natural extension of the first. I have approached the problem not from the point of view of an animal or plant breeder but from that of one interested in understanding the evolution of quantitative traits in wild populations. The subject is large with a considerable body of theory: I generally present the assumptions underlying the analysis and the results, giving the relevant references for those interested in the intervening mathematics. My interest is in what quantitative genetics tells me about evolutionary processes; therefore, I have concentrated on areas of research most relevant to field studies.


Author : Manjit S. Kang
Publisher : CABI
Release : 2020-04-01
Page : 431
Category : Science
ISBN 13 : 1789240212
Description :


This book presents state-of-the-art, authoritative chapters on contemporary issues in the broad areas of quantitative genetics, genomics and plant breeding. Section 1 (Chapters 2 to 12) emphasizes the application of genomics, and genome and epigenome editing techniques, in plant breeding; bioinformatics; quantitative trait loci mapping; and the latest approaches of examining and exploiting genotype-environment interactions. Section 2 (Chapters 13 to 20) represents the intersection of breeding, genetics and genomics. This section describes the use of cutting-edge molecular breeding and quantitative genetics techniques in wheat, rice, maize, root and tuber crops and pearl millet. Overall, the book focuses on using genomic information to help evaluate traits that can combat biotic/abiotic stresses, genome-wide association mapping, high-throughput genotyping/phenotyping, biofortification, use of big data, orphan crops, and gene editing techniques. The examples featured are taken from across crop science research and cover a wide geographical base.


Author : Armando Caballero
Publisher : Cambridge University Press
Release : 2020-04-23
Page : 338
Category : Mathematics
ISBN 13 : 1108481418
Description :


An up-to-date, accessible guide to the main concepts and applications of quantitative genetics.


Author : Anne Charmantier
Dany Garant
Publisher : Oxford University Press
Release : 2014
Page : 280
Category : Science
ISBN 13 : 019967423X
Description :


Across these fields, there is increasing appreciation of the need to quantify the genetic - rather than just the phenotypic - basis and diversity of key traits, the genetic basis of the associations between traits, and the interaction between these genetic effects and the environment. This research activity has been fuelled by methodological advances in both molecular genetics and statistics, as well as by exciting results emerging from laboratory studies of evolutionary quantitative genetics, and the increasing availability of suitable long-term datasets collected in natural populations, especially in animals. Quantitative Genetics in the Wild is the first book to synthesize the current level of knowledge in this exciting and rapidly-expanding area.


Author : D. S. Falconer
Publisher : Pearson Education India
Release : 1996
Page : 464
Category : Genetics
ISBN 13 : 9788131727409
Description :



Author : R. S. Falconer
Douglas Scott Falconer
Publisher : Longman Scientific and Technical
Release : 1989
Page : 438
Category : Quantitative genetics
ISBN 13 :
Description :


This edition has been revised to take account of the fact that quantitative genetics is merging with molecular genetics. Accordingly, a new chapter has been added on quantitative trait loci (QTLs).


Author : Günter Wricke
W. Eberhard Weber
Publisher : Walter de Gruyter
Release : 1986
Page : 406
Category : Science
ISBN 13 : 9783110075618
Description :



Author : Michael Lynch
Bruce Walsh
Publisher : Sinauer Associates Incorporated
Release : 1998-01
Page : 980
Category : Science
ISBN 13 : 9780878934812
Description :


Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.


Author : Arnel R. Hallauer
Marcelo J. Carena
Publisher : Springer Science & Business Media
Release : 2010-09-28
Page : 664
Category : Science
ISBN 13 : 9781441907660
Description :


Maize is used in an endless list of products that are directly or indirectly related to human nutrition and food security. Maize is grown in producer farms, farmers depend on genetically improved cultivars, and maize breeders develop improved maize cultivars for farmers. Nikolai I. Vavilov defined plant breeding as plant evolution directed by man. Among crops, maize is one of the most successful examples for breeder-directed evolution. Maize is a cross-pollinated species with unique and separate male and female organs allowing techniques from both self and cross-pollinated crops to be utilized. As a consequence, a diverse set of breeding methods can be utilized for the development of various maize cultivar types for all economic conditions (e.g., improved populations, inbred lines, and their hybrids for different types of markets). Maize breeding is the science of maize cultivar development. Public investment in maize breeding from 1865 to 1996 was $3 billion (Crosbie et al., 2004) and the return on investment was $260 billion as a consequence of applied maize breeding, even without full understanding of the genetic basis of heterosis. The principles of quantitative genetics have been successfully applied by maize breeders worldwide to adapt and improve germplasm sources of cultivars for very simple traits (e.g. maize flowering) and very complex ones (e.g., grain yield). For instance, genomic efforts have isolated early-maturing genes and QTL for potential MAS but very simple and low cost phenotypic efforts have caused significant and fast genetic progress across genotypes moving elite tropical and late temperate maize northward with minimal investment. Quantitative genetics has allowed the integration of pre-breeding with cultivar development by characterizing populations genetically, adapting them to places never thought of (e.g., tropical to short-seasons), improving them by all sorts of intra- and inter-population recurrent selection methods, extracting lines with more probability of success, and exploiting inbreeding and heterosis. Quantitative genetics in maize breeding has improved the odds of developing outstanding maize cultivars from genetically broad based improved populations such as B73. The inbred-hybrid concept in maize was a public sector invention 100 years ago and it is still considered one of the greatest achievements in plant breeding. Maize hybrids grown by farmers today are still produced following this methodology and there is still no limit to genetic improvement when most genes are targeted in the breeding process. Heterotic effects are unique for each hybrid and exotic genetic materials (e.g., tropical, early maturing) carry useful alleles for complex traits not present in the B73 genome just sequenced while increasing the genetic diversity of U.S. hybrids. Breeding programs based on classical quantitative genetics and selection methods will be the basis for proving theoretical approaches on breeding plans based on molecular markers. Mating designs still offer large sample sizes when compared to QTL approaches and there is still a need to successful integration of these methods. There is a need to increase the genetic diversity of maize hybrids available in the market (e.g., there is a need to increase the number of early maturing testers in the northern U.S.). Public programs can still develop new and genetically diverse products not available in industry. However, public U.S. maize breeding programs have either been discontinued or are eroding because of decreasing state and federal funding toward basic science. Future significant genetic gains in maize are dependent on the incorporation of useful and unique genetic diversity not available in industry (e.g., NDSU EarlyGEM lines). The integration of pre-breeding methods with cultivar development should enhance future breeding efforts to maintain active public breeding programs not only adapting and improving genetically broad-based germplasm but also developing unique products and training the next generation of maize breeders producing research dissertations directly linked to breeding programs. This is especially important in areas where commercial hybrids are not locally bred. More than ever public and private institutions are encouraged to cooperate in order to share breeding rights, research goals, winter nurseries, managed stress environments, and latest technology for the benefit of producing the best possible hybrids for farmers with the least cost. We have the opportunity to link both classical and modern technology for the benefit of breeding in close cooperation with industry without the need for investing in academic labs and time (e.g., industry labs take a week vs months/years in academic labs for the same work). This volume, as part of the Handbook of Plant Breeding series, aims to increase awareness of the relative value and impact of maize breeding for food, feed, and fuel security. Without breeding programs continuously developing improved germplasm, no technology can develop improved cultivars. Quantitative Genetics in Maize Breeding presents principles and data that can be applied to maximize genetic improvement of germplasm and develop superior genotypes in different crops. The topics included should be of interest of graduate students and breeders conducting research not only on breeding and selection methods but also developing pure lines and hybrid cultivars in crop species. This volume is a unique and permanent contribution to breeders, geneticists, students, policy makers, and land-grant institutions still promoting quality research in applied plant breeding as opposed to promoting grant monies and indirect costs at any short-term cost. The book is dedicated to those who envision the development of the next generation of cultivars with less need of water and inputs, with better nutrition; and with higher percentages of exotic germplasm as well as those that pursue independent research goals before searching for funding. Scientists are encouraged to use all possible breeding methodologies available (e.g., transgenics, classical breeding, MAS, and all possible combinations could be used with specific sound long and short-term goals on mind) once germplasm is chosen making wise decisions with proven and scientifically sound technologies for assisting current breeding efforts depending on the particular trait under selection. Arnel R. Hallauer is C. F. Curtiss Distinguished Professor in Agriculture (Emeritus) at Iowa State University (ISU). Dr. Hallauer has led maize-breeding research for mid-season maturity at ISU since 1958. His work has had a worldwide impact on plant-breeding programs, industry, and students and was named a member of the National Academy of Sciences. Hallauer is a native of Kansas, USA. José B. Miranda Filho is full-professor in the Department of Genetics, Escola Superior de Agricultura Luiz de Queiroz - University of São Paulo located at Piracicaba, Brazil. His research interests have emphasized development of quantitative genetic theory and its application to maize breeding. Miranda Filho is native of Pirassununga, São Paulo, Brazil. M.J. Carena is professor of plant sciences at North Dakota State University (NDSU). Dr. Carena has led maize-breeding research for short-season maturity at NDSU since 1999. This program is currently one the of the few public U.S. programs left integrating pre-breeding with cultivar development and training in applied maize breeding. He teaches Quantitative Genetics and Crop Breeding Techniques at NDSU. Carena is a native of Buenos Aires, Argentina. http://www.ag.ndsu.nodak.edu/plantsci/faculty/Carena.htm


Author : Charles J Mode
Publisher : World Scientific Publishing Company
Release : 2016-11-02
Page : 180
Category :
ISBN 13 : 9813140704
Description :


The book gives an overview of developments in Quantitative Genetics and variance component analysis in an era of Big Data and Sequenced Genomes. It provides a detailed description of a direct method of estimation that will be a useful means of extracting information from a large set of data that was inconceivable 10 to 20 years ago. The book is a combination of a history of variance component analysis and a forward looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the sample. Many papers and books on quantitative genetics versions of the general linear model from statistics are useful for analyzing the data, using relatively small sets of data. In this book, new methods of direct estimation are introduced and analyzed that are appropriate for an era of big sets of data and sequences genomes. These direct methods of estimation are based on taking conditional expectations rather the methods of least squares that characterize many applications of the general linear model of statistics. Request Inspection Copy


Author : Shizhong Xu
Publisher : Springer
Release : 2021-10-19
Page : 340
Category : Science
ISBN 13 : 9783030839390
Description :


The intended audience of this textbook are plant and animal breeders, upper-level undergraduate and graduate students in biological and agricultural science majors. Statisticians who are interested in understanding how statistical methods are applied to genetics and agriculture can benefit substantially by reading this book. One characteristic of this textbook is represented by three chapters of technical reviews for Mendelian genetics, population genetics and preliminary statistics, which are prerequisites for studying quantitative genetics. Numerous examples are provided to illustrate different methods of data analysis and estimation of genetic parameters. Along with each example of data analyses is the program code of SAS (statistical analysis system).


Author : B.L. Agrawal
Publisher : New Age International
Release : 2007-01-01
Page : 256
Category : Breeding
ISBN 13 : 8122420397
Description :


About the Book: This book deals with the problems of students, teachers and researchers associated with the subject of genetics, plant and animal breeding. Basic concepts necessary to explain statistical measures and analysis of data are also incorporated. Path analysis, heritability, repeatability, genotypic and phenotypic correlations, analysis of breeding experiments by Hayman's approach and otherwise, combining ability analysis for Griffing's models, line x tester analysis, stability analysis etc., are explicated theoretically and also by demonstrating thoroughly worked examples. This book will also bridge the gap between consulting statisticians and breeders. In a broader sense this book is good for students and researchers in the areas of biology, plant breeding, animal breeding, etc., in multifarious ways. Contents: Basics of Genetics Path Analysis Heritability and Repeatability Breeding and Data Analysis Combining Ability Analysis Stability Analysis.


Author : Bruce S. Weir
Eugene J. Eisen
Publisher : Sinauer Associates, Incorporated
Release : 1988
Page : 724
Category : Science
ISBN 13 :
Description :



Author : Christine Langhoff
Publisher : GRIN Verlag
Release : 2003-06-07
Page : 9
Category : Science
ISBN 13 : 3638195252
Description :


Essay from the year 2002 in the subject Biology - Genetics / Gene Technology, grade: 2.1 (B), Oxford University (New College), 6 entries in the bibliography, language: English, abstract: Ultimately, the goal of genetics is the analysis of the genotype of organisms. But the genotype can be identified – and therefore studied – only through its phenotypic effect. This means that two genotypes are recognised as different from each other because the phenotypes of their carriers are different. A problem can be seen with this approach as the actual variation between organisms is usually quantitative, not qualitative. Many different genotypes may have the same average phenotype. At the same time, because of environmental variation, two individuals of the same genotype may not have the same phenotype. This lack of a one-to-one correspondence between genotype and phenotype obscures underlying Mendelian genetics. I am going to explore the use of various statistical techniques for studying quantitative traits with application to behavioural traits. I am also going to examine whether there are behavioural traits with sufficiently high heritabilities to give hope for gene searches and I am going to discuss the difficulties that confront molecular geneticists regarding psychiatric genetics.


Author : M. G. Bulmer
Michael George Bulmer
Publisher : Oxford University Press, USA
Release : 1985
Page : 254
Category : Genetics
ISBN 13 :
Description :


This book emphasizes discussion of the underlying principles of the theory of quantitative genetics which provides the bridge between the observable statistical properties of a character and the gentic factors, which together with environmental factors, determine the expression of the character. "An essential reference for anyone concerned with quantitative genetics. . . . Provides the only review available of the parts of quantitative genetics relevant to evolutionary theory."--Science


Author : Douglas Scott Falconer
Publisher : Longman Publishing Group
Release : 1983
Page : 104
Category : Population genetics
ISBN 13 :
Description :



Author : Manjit S. Kang
Publisher :
Release : 1994
Page : 157
Category : Genetics
ISBN 13 : 9780964297043
Description :


APPLIED QUANTITATIVE GENETICS resulted from several years of teaching a graduate course on Quantitative Genetics in Plant Improvement. This book fills a critical need in that it presents topics for students from a practical standpoint & makes available some essential computer software. The book should also be useful to teachers & researchers in the areas of quantitative genetics & plant breeding. This publication covers the following topics: 1. Gene Action, genetic variances & effects, & mean; 2. Inbreeding & mating designs; 3. Diallel analyses; 4 . Generation mean analysis; 5. North Carolina designs I, II, III; 6. Path coefficient analysis; 7. Heritability & selection; 8. Heterosis; 9. Genotype-by- environment interaction & stability analyses; & 10. Locating quantitative trait loci. The book places special emphasis on Diallel analyses, Stability analyses, & locating quantitative trait loci; these three important topics either have not been covered at all or have been inadequately covered in currently available texts. The book is available for $28.50 (shipping & handling included) to individuals or libraries. For students or for orders of four or more copies, the cost is $24.50 per book. Payment in full may be sent to Dr. M. S. Kang, 2477 Creekside Dr., Baton Rouge, LA 70810- 6966.


Author : Gene Namkoong
Publisher :
Release : 1979
Page : 342
Category : Agriculture
ISBN 13 :
Description :



Author : Daniel Sorensen
Daniel Gianola
Publisher : Springer Science & Business Media
Release : 2007-03-22
Page : 740
Category : Science
ISBN 13 : 0387954406
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 : André Gallais
Publisher : Editions Quae
Release : 2003
Page : 515
Category : Science
ISBN 13 : 9782738010933
Description :


This book presents basic information about population genetics, quantitative genetics, breeding methods and creation of new varieties taking into account the particular characteristics of autopolyploidy. A number of results are given as a function of ploidy level, the case of diploidy being considered as a specific case. QTL detection and marker assisted selection are also addressed. This book is intended for researchers working on autopolyploid species, as well as for lecturers and students who want to gain better knowledge of these issues by considering the ploidy level. It will also be valuable to breeders wishing to choose methods for breeding and creating the most adapted varieties.