1. AAC Redberry hard red spring wheat
2. Assessment of the G x E x M Interaction Effect on the Soybean LAI-Yield Relationship Using Apsim Model: Implications for High-Throughput Phenotyping
3. Biochar-Swine Manure Impact on Soil Nutrients and Carbon Under Controlled Leaching Experiment Using a Midwestern Mollisols
4. Chapter 1 – Plant breeding: past, present, and future perspectives
5. Chapter 2 – Mode of reproduction in crop plants
6. Chapter 3 – Genetics in relation to plant breeding
7. Chapter 4 – Primer on population and quantitative genetics
8. Chapter 5 – Plant genetic resources
9. Chapter 6 – Wide hybridization
10. Chapter 7 – Haploidy and polyploidy in crop improvement
11. Chapter 8 – Hybridization and selection in self-pollinated crops
12. Chapter 9 – Mass and pure line selection
13. Chapter 10 – Bulk method
14. Chapter 11 – Pedigree method
15. Chapter 12 – Single seed descent method
16. Chapter 13 – Backcross method
17. Chapter 14 – Mutation breeding
18. Chapter 15 – Inbreeding depression and heterosis
19. Chapter 16 – Population improvement
20. Chapter 17 – Recurrent selection in self-pollinated crops
21. Chapter 18 – Synthetic and composite varieties
22. Chapter 19 – Hybrid varieties
23. Chapter 20 – Breeding methods used in asexual crops
24. Chapter 21-Breeding for resistance to abiotic stresses
25. Chapter 22 – Breeding for resistance to biotic stresses
26. Chapter 23 – Intellectual property rights and protection
27. Chapter 24 – Participatory plant breeding
28. Chapter 25 – Breeding of crop ideotypes
29. Chapter 26 – Field plot designs in plant breeding
30. Chapter 27 – Molecular tools in crop improvement and cultivar development
31. Chapter 28 – Phenomics and machine learning in crop improvement
32. Comparative prediction accuracy of hyperspectral bands for different soybean crop variables: From leaf area to seed composition
33. Comparing Biochar-Swine Manure Mixture to Conventional Manure Impact on Soil Nutrient Availability and Plant Uptake—A Greenhouse Study
34. Comparing Early Transcriptomic Responses of 18 Soybean (Glycine max) Genotypes to Iron Stress
35. Conditional mapping identified quantitative trait loci for grain protein concentration expressing independently of grain yield in Canadian durum wheat
36. Crop yield prediction integrating genotype and weather variables using deep learning
37. Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications
38. Exploring the use of 3D point cloud data for improved plant stress rating
39. High-throughput phenotyping in soybean
40. How useful is active learning for image-based plant phenotyping?
41. Intellectual property rights and protection
42. Interaction between Rag genes results in a unique synergistic transcriptional response that enhances soybean resistance to soybean aphids
43. ISU Soybean Breeding Program: An Update
44. Mapping of Ug99 stem rust resistance in Canadian durum wheat
45. Meta-GWAS for quantitative trait loci identification in soybean
46. PATRIOT: A pipeline for tracing identity-by-Descent for chromosome segments to improve genomic prediction in self-pollinating crop species
47. Plant Breeding and Cultivar Development
48. Registration of durum wheat germplasm A0709‐BX05 with resistance to ergot
49. UAS-Based Plant Phenotyping for Research and Breeding Applications
50. Using machine learning to develop a fully automated soybean nodule acquisition pipeline (snap)