6 edition of Quantitative trait loci found in the catalog.
Includes bibliographical references and index
|Statement||edited by Nicola J. Camp and Angela Cox|
|Series||Methods in molecular biology -- 195, Methods in molecular biology (Clifton, N.J.) -- 195|
|Contributions||Camp, Nicola J, Cox, Angela, 1961-|
|LC Classifications||QH438.4.S73 Q36 2002|
|The Physical Object|
|Pagination||xii, 359 p. :|
|Number of Pages||359|
|LC Control Number||2001039828|
In Quantitative Trait Loci: Methods and Prools, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL).Price: $ Quantitative trait loci affecting economically im-portant traits of livestock are of great interest. Several recent studies reported the location of QTL regions on a variety of pig chromosomes. Andersson et al. () ﬁrst reported a cluster of loci affecting growth and fat-ness on Sus scrofa chromosome (SSC) 4 in wild boar and Large White pigs.
Quantitative trait loci (QTL) mapping is an effective approach for studying genetically complex forms of disease resistance, where effects of specific resistance loci can be determined and interactions between resistance genes, plant development, and the environment can be analyzed. a r e quantitative traits. The genes (or DNA regions that contain the genes) influencing a quantitative trait are called q u a n t i t a t i v e trait loci (QTLs). This a r ticle describes some considerations for the genetic analysis of quantitative traits, the general steps invo l v ed in QT L File Size: KB.
Find out information about quantitative trait locus. The location of a gene that affects a quantitative trait Explanation of quantitative trait locus. Validation of quantitative trait loci for multiple disease resistance in barley using advanced backcross lines developed with a wild barley. The book is divided into four sections: “The Foundations of Quantitative Genetics,” “Quantitative Trait Loci,” “Estimation Procedures,” and “Appendices.” A summary of the information covered in each chapter is presented below; however, for sake of brevity, some topics are by: 8.
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A QTL is a polymorphic locus which contains alleles that differentially affect the expression of a continuously distributed phenotypic trait. Usually, it is a marker described by statistical association to quantitative variation in the particular phenotypic trait that is thought to be controlled by the cumulative action of alleles at multiple loci.
Quantitative trait locus (QTL) analysis is a statistical genetic method to identify genes that affect the outcome of complex traits such as aging and life span (Miles and Wayne, ; Liti and Louis, ). QTL analysis involves breeding strains with different life span phenotypes to.
In Quantitative Trait Loci (QTLs):Methods and Protocols, expert researchers in the field detail methods and techniques that focus on specific components of the entire process of quantitative train loci experiments.
These include methods and techniques for the mapping populations, identifying quantitative trait loci, extending the power of. About this book Introduction In Quantitative Trait Loci: Methods and Protocols, Drs. Nicola Camp and Angela Cox have assembled a highly experienced panel of statistical geneticists who demonstrate in a step-by-step fashion how to use this powerful methodology and associated software for the detection and fine mapping of quantitative trait loci.
In Quantitative Trait Loci: Methods and Protocols, Drs. Nicola Camp and Angela Cox have assembled a highly experienced panel of statistical geneticists who demonstrate in a step-by-step fashion how to use this powerful methodology and associated software for the detection and fine mapping of quantitative trait loci.
Writing for the Format: Hardcover. Some traits (properties or characteristics or phenotype) are determined by multiple genes (loci), each segregating according to Mendels Laws. Moreover, each of these genes may be affected by the environment in varying degrees.
When the segregatin. In Quantitative Trait Loci (QTLs):Methods and Protocols, expert researchers in the field detail methods and techniques that focus on specific components of the entire process of quantitative train loci experiments.
These include methods and techniques for the mapping populations, identifying quantitative trait loci, extending the power of Price: $ Here Y is the value of a trait of interest, is the set of loci that exert an influence on this trait (also known as the polygene) and λ is a locus index ranging over this set.
The contributions from the maternal and the paternal chromosome at locus λ are denoted and, sum (over) of these contributions makes up the additive genetic component to which an environmental. Furthermore, any single gene may influence more than one trait, whether these traits are quantitative or qualitative traits.
Figure The more loci that affect a trait, the larger the number of phenotypic classes that can be expected. For some traits, the number of contributing loci is so large that the phenotypic classes blend together in.
Quantitative trait loci (QTL) are genetic regions that influence phenotypic variation of a complex trait, often through genetic interactions with each other and the environment.
In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci.
Quantitative trait locus explained. A quantitative trait locus (QTL) is a locus (section of DNA) that correlates with variation of a quantitative trait in the phenotype of a population of organisms.
QTLs are mapped by identifying which molecular markers (such as SNPs or AFLPs) correlate with an observed is often an early step in identifying and sequencing the actual genes that cause. Quantitative Trait Loci Our aim is to improve domesticated crop species by identifying useful genetic variation, and adapting this variation using conventional breeding techniques.
The beneficial variation can be derived from 'exotic' allelic variants that are present in the wider species genepool, or, new combinations of beneficial genetic. This Methods in Molecular Biology (TM) volume offers techniques for the entire process of quantitative train loci experiments: the mapping populations, identifying quantitative trait loci, extending Read more.
Previous studies have indicated that the C content is a polygenic trait, and no stable quantitative trait loci (QTL s) except for FAD 2 have been reported.
By performing a GWAS using low erucic acid B. napus accessions genotyped with the Brassica 60K SNP array and constructing a high‐density SNP ‐based genetic map of a DH Cited by: 2. two years to identify quantitative trait loci (QTLs) controlling agronomic traits such as days to heading, spike characters (length, internode length, awn length and triplet number) and culm.
Quantitative trait loci analysis in animals. Description This book describes the theory and practice of methods for quantitative trait loci (QTL) detection and analysis, as well as marker assisted selection, in animal genetics and by: Generally, the more loci that are involved in determining a quantitative trait, the more difficult it is to map and identify all of the causative QTLs.
When more than one QTL affects a particular trait, each might have a different effect size and the effects of individual QTLs will vary from strong to weak. Quantitative Genetics and Genome Analysis at the University of Edinburgh (UK). Genetics for Animal Breeding at the University of New England (Armidale, Australia).
Journals. The Journal of Quantitative Trait Loci (JQTL), an electronic journal sponsored by the Crop Science Society of America. Genome ; Nature Genetics ; Journal of Animal Science. In more recent times, the search for quantitative trait loci has turned to humans.
A number of diseases, cancers for example, are thought to be caused by the additive effects of genes at different loci. Pedigree analysis has provided some insights, but the use of microarrays promises to provide more. ISBN: OCLC Number: Description: xiii, pages: illustrations ; 25 cm: Contents: 1.
Historical overview Principles of parameter estimation Random and fixed effects, the mixed model Experimental designs to detect QTL: generation of linkage disequilibrium QTL parameter estimation for crosses betweenn inbred lines Quantitative Trait Loci (QTL) by Scott A.
Rifkin,available at Book Depository with free delivery : Scott A. Rifkin. The book focuses mainly on the theoretical aspects of QTL analysis and results of simulation studies. There is little discussion of actual results or summaries of conclusions so by: 1.