http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
This book provides a fresh, updated perspective of the current status and perspectives in genetic improvement of a diverse array of tropical crops. The first part covers aspects which are relevant across crops, namely how to maximize the use of genetic information through modern bioinformatic approaches and how to use statistics as a tool to sustain increased genetic gains and breeding efficiency. The second part of the book provides an updated view of some seed-propagated crops, such as rice, maize and oil palm, as well as crops propagated through vegetative means such as sweet potato, cassava, banana and sugarcane. Each chapter addresses the main breeding objectives, markets served, current breeding approaches, biotechnology, genetic progress observed, and in addition a glimpse into the future for each of these selected and important tropical crops.
Foreword; Preface; Acknowledgments; Contents; Contributors; Part I: Enabling Technologies; Chapter 1: Statistical Approaches in Plant Breeding: Maximising the Use of the Genetic Information; 1.1 Introduction; 1.2 Accounting for Interplot Competition; 1.3 Incorporating Spatial Variation; 1.4 Modelling Competition and Spatial Variation; 1.4.1 Base Model: RCB Without Modelling Spatial Variation; 1.4.2 Spatial Model: RCB Plus Modelling Spatial Variation; 1.5 Further Approaches That Incorporate Genotype-by- Environment Interactions.
1.6 Final Remarks; References; Chapter 2: Genomic Selection: State of the Art; 2.1 Introduction; 2.2 Practical and Theoretical Requirements for Genomic Selection Implementation; 2.2.1 Practical Implementation; 2.2.2 Theoretical Aspects Related to Predictive Capacity; 2.3 Statistical Methods Applied to Genomic Predictions; 2.3.1 Linear Models and a Gentle Introduction to Statistical Learning; 2.3.2 Modeling Philosophy: Frequentist Ã#x97; Bayesian Approach; 2.3.2.1 Frequentist Approaches; 2.3.2.2 Bayesian Approach.
2.3.2.3 Practical Lessons About Statistical Methods Used for Genomic Selection; 2.4 Genomic Selection and Plant Breeding; 2.4.1 Expected Genetic Gain: The Breeder's Equation; 2.4.2 Genomic Selection and Plant Breeding Schemes; 2.5 Challenges, Perspectives, and Trends; 2.5.1 A Multidisciplinary Solution to the Challenge of Big Data; 2.5.2 Genotype-by-Environment (GxE) Interaction; 2.5.3 GS in the Presence of Population Structure; 2.5.4 Epistasis and Dominance; 2.5.5 Polyploid Species; 2.5.6 Genomic Selection 2.0: The Future Is Coming.
2.6 Conclusions; References; Part II: Crops; Chapter 3: Tropical Maize (Zea mays L.); 3.1 Introduction; 3.1.1 History and Origin; 3.1.2 Importance of Maize in the Tropics; 3.1.3 Broad Patterns of Adaptation: Megaenvironments; 3.2 Tropical Maize Germplasm: Races, Landraces, and Germplasm Exchanges; 3.2.1 Races of Maize: Packaging Diversity by Adaptation and Grain Type; 3.2.2 The Search for Superior Alleles and Their Concentration: The Mexican Experience; 3.2.3 Global Movements of Germplasm: Developing Other Sources.
3.3 Biology: Do Tropical and Temperate Maize Germplasm Groups Differ?; 3.3.1 Source/Sink Ratios, Ear Growth, and Yield Components; 3.3.2 Photoperiod Response; 3.3.3 Genetics; 3.4 Heterosis; 3.4.1 Heterotic Patterns; 3.5 Breeding; 3.5.1 The Genetic Gain Equation; 3.5.2 Development of Useful Genetic Sources; 3.5.3 Population Improvement Methods; 3.5.4 Pedigree Breeding; 3.5.5 Doubled Haploids; 3.5.6 Secondary Traits and Their Use in Selection; 3.5.7 Participatory Plant Breeding; 3.6 Traits; 3.6.1 Determinants of Yield.
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Includes bibliographical references and index.