Quantitative Genetics Genomics and Plant Breeding Cabi First Edition by M. S. Kang – Ebook PDF Instant Download/Delivery: 0851996019, 978-0851996011
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Product details:
ISBN 10: 0851996019
ISBN 13: 978-0851996011
Author: M. S. Kang
This book provides an overview of the rapidly-developing field of quantitative genetics and genomics, and their application to plant breeding. Chapters have been developed from a symposium held in Baton Rouge, Louisiana, in March 2001. Authors include international authorities from around the world. Contents include quantitative trait loci (QTL) mapping, genomics and marker-assisted selection; tissue culture and alien introgression for crop improvement; and advances in genotype by environment interaction/stability analysis.
Table of contents:
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Vignettes of the History of Genetics
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Quantitative Genetics, Genomics and the Future of Plant Breeding
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Why Quantitative Geneticists Should Care About Bioinformatics
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QTL Analysis: Problems and (Possible) Solutions
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Association Mapping in Plant Populations
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Integrating Molecular Techniques into Quantitative Genetics and Plant Breeding
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Use of Molecular Markers in Plant Breeding: Drought Tolerance Improvement in Tropical Maize
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Explorations with Barley Genome Maps
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Global View of QTL: Rice as a Model
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Marker-Assisted Back-Cross Breeding: A Case-Study in Genotype-Building Theory
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Complexity, Quantitative Traits and Plant Breeding: A Role for Simulation Modelling in the Genetic Improvement of Crops
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Linking Biophysical and Genetic Models to Integrate Physiology, Molecular Biology and Plant Breeding
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Tissue Culture for Crop Improvement
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Transferring Genes from Wild Species into Rice
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Genotype-Environment Interaction: Progress and Prospects
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Analysing QTL-Environment Interaction by Factorial Regression, with an Application to the CIMMYT Drought and Low-Nitrogen Stress Programme in Maize
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Elements of Genotype-Environment Interaction: Genetic Components of the Photoperiod Response in Maize
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Mechanisms of Improved Nitrogen-Use Efficiency in Cereals
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Biplot Analysis of Multi-Environment Trial Data
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Linear-Bilinear Models for the Analysis of Genotype-Environment Interaction
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Exploring Variety-Environment Data Using Random Effects AMMI Models with Adjustments for Spatial Field Trend: Part 1: Theory
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Exploring Variety-Environment Data Using Random Effects AMMI Models with Adjustments for Spatial Field Trend: Part 2: Applications
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Applications of Mixed Models in Plant Breeding
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Defining Adaptation Strategies and Yield-Stability Targets in Breeding Programmes
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Tags: M S Kang, Quantitative, Genetics, Genomics, Plant, Breeding, CABI


