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Klappentext Crop improvement will become progressively important over the next few decades as the world's population is expected to top 10 billion people! with more than eight billion in developing countries alone. Genetic and Production Innovations in Field Crop Technology: New Developments in Theory and Practice tackles this enormous challenge by detailing the latest available research and innovations for crop breeders and physiologists for the twenty-first century. Respected multidisciplinary scientists comprehensively discuss cutting-edge advances in field crop technology and genetic production as they keep an eye on the goal of providing nutrition to a hungry world. The text is extensively referenced and includes useful graphs and tables to clearly present data. Zusammenfassung Details the research and innovations for crop breeders and physiologists for the twenty-first century. This book discusses advances in field crop technology and genetic production and considers the goal of providing nutrition to an increasing populace. The text includes illustrative graphs and tables to present data. Inhaltsverzeichnis Preface Is Crop Improvement Still Needed? Crop Breeding in the Twenty-First Century, Scientific Breakthroughs and Plant Breeding, Designing for and Analyzing Results from Field Experiments, Physiological Determinants of Crop Growth and Yield in Maize, Sunflower and Soybean: Their Application to Crop Management, Modeling and Breeding, Genetic Diversity in Crop Improvement: The Soybean Experience ,Advances in Breeding of Seed-Quality Traits in Soybean; At Last, Another Record Corn Crop, Breeding Cassava for Underprivileged: Institutional, Socio-Economic and Biological Factors for Success; Yielding Potential of Rubber (Hevea brasiliensis) in Sub-Optimal Environments Characterization of Environments and Genotypes for Analyzing Genotype X Environment Interaction: Some Recent Advances in Winter Wheat and Prospects for QTL Detection QTL Identification, Mega-Environment Classification, and Strategy Development for Marker-Based Selection; Using Biplots; Scheffe-Calinski and Shukla Models: Their Interpretation and Usefulness in Stability and Adaptation Analyses...
