Genetic and Production Innovations in Field Crop Technology
eBook - ePub

Genetic and Production Innovations in Field Crop Technology

New Developments in Theory and Practice

  1. 384 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Genetic and Production Innovations in Field Crop Technology

New Developments in Theory and Practice

About this book

Get cutting-edge information to improve crop breeding and productivity!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 Technolog

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Yes, you can access Genetic and Production Innovations in Field Crop Technology by Manjit S. Kang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Agriculture. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. About the Editor
  7. Preface
  8. Is Crop Improvement Still Needed?
  9. Crop Breeding in the Twenty-First Century
  10. Scientific Breakthroughs and Plant Breeding
  11. Designing for and Analyzing Results from Field Experiments
  12. Physiological Determinants of Crop Growth and Yield in Maize, Sunflower and Soybean: Their Application to Crop Management, Modeling and Breeding
  13. Genetic Diversity in Crop Improvement: The Soybean Experience
  14. Advances in Breeding of Seed-Quality Traits in Soybean
  15. At Last, Another Record Corn Crop
  16. Breeding Cassava for Underprivileged: Institutional, Socio-Economic and Biological Factors for Success
  17. Yielding Potential of Rubber (Hevea brasiliensis) in Sub-Optimal Environments
  18. Characterization of Environments and Genotypes for Analyzing Genotype × Environment Interaction: Some Recent Advances in Winter Wheat and Prospects for QTL Detection
  19. QTL Identification, Mega-Environment Classification, and Strategy Development for Marker-Based Selection Using Biplots
  20. Scheffé-Caliński and Shukla Models: Their Interpretation and Usefulness in Stability and Adaptation Analyses
  21. Index