Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean

Keyphrases

• Assure 100%
• Breeder 16%
• Breeding Population 50%
• Breeding Strategy 33%
• Chain Rule 16%
• Commercial Plant 16%
• Competing Objectives 100%
• Discipline-based 16%
• Extreme Response 16%
• Fully Connected 16%
• Genetic Diversity 16%
• Genetic Gain 33%
• Genetic Improvement 100%
• Genetic Potential 16%
• Genetic Variance 33%
• Genomic Selection 66%
• Hub Networks 33%
• Improvement Project 16%
• Island Rule 16%
• Limited Resources 16%
• Long-term Benefit 16%
• Mating Design 66%
• Migration Rule 33%
• Multi-objective Optimization Algorithm 16%
• Network Chain 16%
• Parental Contribution 16%
• Phenotypic Selection 50%
• Plant Breeders 33%
• Plant Breeding 16%
• Project Objectives 16%
• Selection Metrics 16%
• Selection Strategy 16%
• Two-line 16%

Agricultural and Biological Sciences

• Decision Making 16%
• Genetic Divergence 50%
• Genetic Improvement 100%
• Genetic Variability 50%
• Genetic Variance 33%
• Marker-Assisted Selection 66%
• Mating Design 66%
• Plant Breeders 33%
• Plant Breeding 16%
• Selection Method 16%

Biochemistry, Genetics and Molecular Biology

• Decision Making 16%
• Genetic Divergence 50%
• Genetic Gain 33%
• Genetic Improvement 100%
• Genetics 16%
• Marker-Assisted Selection 66%