Quantitative genetics, genomics and plant breeding
著者
書誌事項
Quantitative genetics, genomics and plant breeding
CABI Publishing, c2002
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注記
Papers from the Symposium on Quantitative Genetics and Plant Breeding in the 21st Century, held at Louisiana State University, Mar. 26-28, 2001
Includes bibliographical references and index
内容説明・目次
内容説明
This book provides an overview of the rapidly developing integration and interdependence of quantitative genetics, genomics, bioinformatics and their application to plant breeding. Chapters have been developed from a symposium held in Baton Rouge, Louisiana, in March 2001, although additional contributions have also been commissioned especially for this volume. The main topics covered include: quantitative trait loci (QTL) mapping, genomics, bioinformatics and marker-assisted selection; tissue culture and alien introgression for crop improvement; and advances in genotype by environment interaction/stability analysis.
目次
1: Vignettes of the history of genetics Part 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 improvements in tropical maize 8: Explorations with barley genome maps 9: Global view of QTS/QTLS: rice as a model 10: Marker-assisted backcross 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 bio physical 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 15: Genotype environment interaction: progress and prospects 16: Analysing QTL - by environment interaction by factorial regression, with an application to the CIMMYT drought and low-nitrogen stress programme in maize 17: 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 22: Exploring variety - environment data using random effects AMMI models with adjustments for spatial field trend: Part 2: Applications 23: Applications of mixed models in plant breeding 24: Defining adaptation strategies and yield stability targets in breeding programmes
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