16 Section 11: Computer‐aided applications in plant breeding 30 Bioinformatics, big data analytics, and computer simulations in plant breeding 30.1 What is bioinformatics? 30.2 Subdivisions of bioinformatics 30.3 Workflow for bioinformatics projects 30.4 General goals of bioinformatics 30.5 Data for bioinformatics 30.6 Data sources and how they are utilized in bioinformatics 30.7 Types of bioinformatics databases 30.8 Data management and integration 30.9 Data mining 30.10 Applications of bioinformatics in plant breeding 30.11 What is big data? 30.12 Big data workflow in plant breeding 30.13 Plant breeding applications 30.14 What is a computer simulation or model? 30.15 Applications of computer simulation in plant breeding 30.16 Ideotype breeding 30.17 Simulation models in plant breeding Key references and suggested reading Internet resources Outcomes Assessment
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Section 12: Variety release process in plant breeding
31 Performance evaluation for crop cultivar release
31.1 Purpose of performance trials
31.2 Kinds of field trials
31.3 Designing field trials
31.4 The role of the environment in field trials
31.5 Genotype × environment interaction (GEI)
31.6 Models of G × E interaction
31.7 Measurement of GEI using ANOVA
31.8 Importance and Applications of GEI in Plant Breeding
31.9 Stability analysis models
31.10 Adaptation
31.11 Field plot technique in plant breeding
31.12 Field plot designs
31.13 Materials, equipment, and machinery for field evaluation of genotypes
Key references and suggested reading
Internet
Outcomes assessment
32 Seed certification and commercial seed release
32.1 The role of improved seed in agriculture
32.2 Role of the private sector in the seed industry
32.3 General steps of operation of the seed industry
32.4 The cultivar release process
32.5 Multiplication of pedigree seed
32.6 Concept of seed certification
32.7 The seed certification process
32.8 Seed testing
32.9