Description
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.
Chapter
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
9 Global View of QTL: Rice as a Model
10 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
16 Analysing QTL–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