LEADER 04266nam 22006374a 450 001 9910817398903321 005 20230607214327.0 010 $a1-280-82986-9 010 $a9786610829866 010 $a0-85199-787-2 035 $a(CKB)111087028074710 035 $a(EBL)294763 035 $a(OCoLC)476061337 035 $a(SSID)ssj0000231197 035 $a(PQKBManifestationID)11194875 035 $a(PQKBTitleCode)TC0000231197 035 $a(PQKBWorkID)10206966 035 $a(PQKB)10486183 035 $a(MiAaPQ)EBC294763 035 $a(Au-PeEL)EBL294763 035 $a(CaPaEBR)ebr10060517 035 $a(CaONFJC)MIL82986 035 $a(EXLCZ)99111087028074710 100 $a20011101d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aQuantitative genetics, genomics, and plant breeding$b[electronic resource] /$fedited by Manjit S. Kang 210 $aOxon, UK ;$aNew York $cCABI Pub.$dc2002 215 $a1 online resource (416 p.) 300 $aPapers from the Symposium on Quantitative Genetics and Plant Breeding in the 21st Century, held at Louisiana State University, Mar. 26-28, 2001. 311 $a0-85199-601-9 320 $aIncludes bibliographical references. 327 $aContents; Contributors; Foreword; Preface; 1 Vignettes of the History of Genetics; Section I Genomics, Quantitative Trait Loci and Tissue Culture; 2 Quantitative Genetics, Genomics and the Future of Plant Breeding; 3 Why Quantitative Geneticists should Care about Bioinformatics; 4 QTL Analysis: Problems and (Possible) Solutions; 5 Association Mapping in Plant Populations; 6 Integrating Molecular Techniques into Quantitative Genetics and Plant Breeding; 7 Use of Molecular Markers in Plant Breeding: Drought Tolerance Improvement in Tropical Maize; 8 Explorations with Barley Genome Maps 327 $a9 Global View of QTL: Rice as a Model10 Marker-assisted Back-cross Breeding: a Case-study in Genotype-building Theory; 11 Complexity, Quantitative Traits and Plant Breeding: a Role for Simulation Modelling in the Genetic Improvement of Crops; 12 Linking Biophysical and Genetic Models to Integrate Physiology, Molecular Biology and Plant Breeding; 13 Tissue Culture for Crop Improvement; 14 Transferring Genes from Wild Species into Rice; Section II Genotype-Environment Interaction and Stability Analysis; 15 Genotype-Environment Interaction: Progress and Prospects 327 $a16 Analysing QTL-Environment Interaction by Factorial Regression, with an Application to the CIMMYT Drought and Low-nitrogen Stress Programme in Maize17 Elements of Genotype-Environment Interaction: Genetic Components of the Photoperiod Response in Maize; 18 Mechanisms of Improved Nitrogen-use Efficiency in Cereals; 19 Biplot Analysis of Multi-environment Trial Data; 20 Linear-Bilinear Models for the Analysis of Genotype-Environment Interaction; 21 Exploring Variety-Environment Data Using Random Effects AMMI Models with Adjustments for Spatial Field Trend: Part 1: Theory 327 $a22 Exploring Variety-Environment Data Using Random Effects AMMI Models with Adjustments for Spatial Field Trend: Part 2: Applications23 Applications of Mixed Models in Plant Breeding; 24 Defining Adaptation Strategies and Yield-stability Targets in Breeding Programmes; Index 330 $aThis text provides an overview of the rapidly developing integration and interdependence of quantitative genetics, genomics, and bioinformatics, and their application to plant breeding. Authors include international authorities from around the world. 606 $aCrops$xGenetics$vCongresses 606 $aPlant breeding$vCongresses 606 $aQuantitative genetics$vCongresses 615 0$aCrops$xGenetics 615 0$aPlant breeding 615 0$aQuantitative genetics 676 $a631.5/233 701 $aKang$b Manjit S$0990675 712 12$aSymposium on Quantitative Genetics and Plant Breeding in the 21st Century$f(2001 :$eLouisiana State University) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817398903321 996 $aQuantitative genetics, genomics, and plant breeding$94035757 997 $aUNINA