Plant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation.
The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Preface - p. xix 7. Acknowledgments - p. xxi 8. Chapter 1. Plant breeding: past, present, and future perspectives - p. 1 9. Chapter 2. Mode of reproduction in crop plants - p. 25 10. Chapter 3. Genetics in relation to plant breeding - p. 51 11. Chapter 4. Primer on population and quantitative genetics - p. 77 12. Chapter 5. Plant genetic resources - p. 129 13. Chapter 6. Wide hybridization - p. 159 14. Chapter 7. Haploidy and polyploidy in crop improvement - p. 179 15. Chapter 8. Hybridization and selection in self-pollinated crops - p. 193 16. Chapter 9. Mass and pure line selection - p. 211 17. Chapter 10. Bulk method - p. 223 18. Chapter 11. Pedigree method - p. 235 19. Chapter 12. Single seed descent method - p. 255 20. Chapter 13. Backcross method - p. 265 21. Chapter 14. Mutation breeding - p. 279 22. Chapter 15. Inbreeding depression and heterosis - p. 291 23. Chapter 16. Population improvement - p. 305 24. Chapter 17. Recurrent selection in self-pollinated crops - p. 331 25. Chapter 18. Synthetic and composite varieties - p. 345 26. Chapter 19. Hybrid varieties - p. 357 27. Chapter 20. Breeding methods used in asexual crops - p. 379 28. Chapter 21. Breeding for resistance to abiotic stresses - p. 399 29. Chapter 22. Breeding for resistance to biotic stresses - p. 425 30. Chapter 23. Intellectual property rights and protection - p. 465 31. Chapter 24. Participatory plant breeding - p. 483 32. Chapter 25. Breeding of crop ideotypes - p. 497 33. Chapter 26. Field plot designs in plant breeding - p. 517 34. Chapter 27. Molecular tools in crop improvement and cultivar development - p. 535 35. Chapter 28. Phenomics and machine learning in crop improvement - p. 563 36. Bibliography - p. 595 37. References - p. 595 38. Index - p. 615
Plant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation.
The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Preface - p. xix 7. Acknowledgments - p. xxi 8. Chapter 1. Plant breeding: past, present, and future perspectives - p. 1 9. Chapter 2. Mode of reproduction in crop plants - p. 25 10. Chapter 3. Genetics in relation to plant breeding - p. 51 11. Chapter 4. Primer on population and quantitative genetics - p. 77 12. Chapter 5. Plant genetic resources - p. 129 13. Chapter 6. Wide hybridization - p. 159 14. Chapter 7. Haploidy and polyploidy in crop improvement - p. 179 15. Chapter 8. Hybridization and selection in self-pollinated crops - p. 193 16. Chapter 9. Mass and pure line selection - p. 211 17. Chapter 10. Bulk method - p. 223 18. Chapter 11. Pedigree method - p. 235 19. Chapter 12. Single seed descent method - p. 255 20. Chapter 13. Backcross method - p. 265 21. Chapter 14. Mutation breeding - p. 279 22. Chapter 15. Inbreeding depression and heterosis - p. 291 23. Chapter 16. Population improvement - p. 305 24. Chapter 17. Recurrent selection in self-pollinated crops - p. 331 25. Chapter 18. Synthetic and composite varieties - p. 345 26. Chapter 19. Hybrid varieties - p. 357 27. Chapter 20. Breeding methods used in asexual crops - p. 379 28. Chapter 21. Breeding for resistance to abiotic stresses - p. 399 29. Chapter 22. Breeding for resistance to biotic stresses - p. 425 30. Chapter 23. Intellectual property rights and protection - p. 465 31. Chapter 24. Participatory plant breeding - p. 483 32. Chapter 25. Breeding of crop ideotypes - p. 497 33. Chapter 26. Field plot designs in plant breeding - p. 517 34. Chapter 27. Molecular tools in crop improvement and cultivar development - p. 535 35. Chapter 28. Phenomics and machine learning in crop improvement - p. 563 36. Bibliography - p. 595 37. References - p. 595 38. Index - p. 615
