04372nam a22005655i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001500181100002700196245014900223264004600372300003400418336002600452337002600478338003900504347002400543490005000567505055700617520182101174650001902995650001603014650002003030650002003050650002103070650002703091650001603118650001903134650003403153650003103187650004203218650006103260650003803321650001603359700003003375700002903405710003403434773002003468776003603488830005003524856010303574942001203677999001703689952010003706978-0-387-68154-2DE-He21320260521091926.0cr nn 008mamaa100301s2007 xxu| s |||| 0|eng d a9780387681542 a997803876815427 a10.1007/978-0-387-68154-22doi cCICY04a591.352231 aWu, Rongling.eauthor.10aStatistical Genetics of Quantitative Traitsh[recurso electrónico] :bLinkage, Maps, and QTL /cby Rongling Wu, George Casella, Chang-Xing Ma. 1aNew York, NY :bSpringer New York,c2007. aXVI, 365 p.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia arecurso en líneabcr2rdacarrier atext filebPDF2rda1 aStatistics for Biology and Health,x1431-87760 aBasic Genetics -- Basic Statistics -- Linkage Analysis and Map Construction -- A General Model for Linkage Analysis in Controlled Crosses -- Linkage Analysis with Recombinant Inbred Lines -- Linkage Analysis for Distorted and Misclassified Markers -- Special Considerations in Linkage Analysis -- Marker Analysis of Phenotypes -- The Structure of QTL Mapping -- Interval Mapping with Regression Analysis -- Interval Mapping by Maximum Likelihood Approach -- Threshold and Precision Analysis -- Composite QTL Mapping -- QTL Mapping in Outbred Pedigrees. aThe book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercise sets and computer codes for all the analyses used. This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture. Rongling Wu is Associate Professor of Statistics at the University of Florida, Gainesville. He currently serves as Associate Editor for six genetics and bioinformatics journals. Chang-Xing Ma is Assistant Professor of Biostatistics at the State University of New York at Buffalo. George Casella is Distinguished Professor of Statistics and Distinguished Member of the Genetics Institute at the Univesity of Florida, Gainesville. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences, and the author of four other statistics books. 0aLIFE SCIENCES. 0aBIOMETRICS. 0aBIOINFORMATICS. 0aPLANT BREEDING. 0aANIMAL GENETICS. 0aGENETICSxMATHEMATICS. 0aSTATISTICS.14aLIFE SCIENCES.24aANIMAL GENETICS AND GENOMICS.24aPLANT GENETICS & GENOMICS.24aCOMPUTATIONAL BIOLOGY/BIOINFORMATICS.24aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.24aGENETICS AND POPULATION DYNAMICS.24aBIOMETRICS.1 aCasella, George.eauthor.1 aMa, Chang-Xing.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387203348 0aStatistics for Biology and Health,x1431-877640uhttp://dx.doi.org/10.1007/978-0-387-68154-2zVer el texto completo en las instalaciones del CICY 2ddccER c33865d33865 00102ddc40708LEaCICYbCICYcELd2025-07-10l0o591.35r2025-07-10 08:40:05w2025-07-10yER