1 Introduction and Definitions. - 1. 1. Introduction and Objectives. - 1. 2. Statistical Design. - 1. 3. Types of Treatment. - 1. 4. Treatment Designs in Category 4 for Intercropping Experiments. - 1. 5. Some Statistical Problems Associated with Response Model Equations Statistical Analyses and Inferences. - 1. 6. Some Concepts and Definitions. - 1. 7. Literature Cited. - 2 One Main Crop Grown with a Supplementary Crop. - 2. 1. Objectives and Introduction. - 2. 2. Some Examples of Main Crops Grown with a Supplemental Crop. - 2. 3. Statistical Designs and Univariate Analyses of Main Crop Yields for Experiments on Main and Supplemental Crops. - 2. 4. Some Additional Statistical Analyses for Yields of Main Crop Intercropped with a Supplemental Crop. - 2. 5. Multivariate Analyses for a Main Crop Grown with Supplemental Crops and Grown as a Sole Crop. - 2. 6. Summary and Discussion. - 2. 7. Problems. - 2. 8. Literature Cited. - 3 Both Crops Main CropsDensity ConstantAnalyses for Each Crop Separately. - 3. 1. Objectives and Introduction. - 3. 2. Treatment and Experiment Designs. - 3. 3. Univariate Analyses on Observed Variables for Each of the Two Main Crops. - 3. 4. Multivariate Analyses on a Vector of Observed Variables of One Crop. - 3. 5. Summary and Discussion. - 3. 6. Problems. - 3. 7. Literature Cited. - 4 Both Crops Main CropsDensity ConstantCombined Crop Responses. - 4. 1. Objectives and Introduction. - 4. 2. Univariate Analyses on Functions of Combined Variables of Both Crops. - 4. 3. Land Equivalent Ratio or Relative Yield Total. - 4. 4. Multivariate Analysis on an Observation Vector of the Intercropping Systems. - 4. 5. Effect of Varying Proportions on Created Functions. - 4. 6. Summary and Discussion. - 4. 7. Problems. - 4. 8. Literature Cited. - Appendix 4. 1. - 5 Both Crops of Major Interest with VaryingDensities. - 5. 1. Objectives and Introduction. - 5. 2. Treatment Design and Statistical Analysis for Comparisons Among Density Combinations for Individual Crop Responses. - 5. 3. Statistical Analyses for Responses from Both Crops for a Single Pair of Crops at Varying Densities. - 5. 4. Models and Analyses for Monocultures and Mixtures of Two Crops over a Range of Densities. - 5. 5. Analyses for c1 Lines of Crop 1 and c2 Lines of Crop 2. - 5. 6. Summary and Discussion. - 5. 7. Problems. - 5. 8. Literature Cited. - Appendix 5. 1. Derivation of Parameter Estimates and Their Variances Using a Generalized Least Squares Method for the Linear Model of Section 5. 4 (Prepared by Anila Wijesinha). - Appendix 5. 2. Distribution of Estimators and Hypothesis Tests (Prepared by Anila Wijesinha). - 6 Monocultures and Their Pairwise Combinations when Responses Are Available for Each Member of the Combination. - 6. 1. Introduction. - 6. 2. Treatment Design. - 6. 3. A Response Model and Some Statistical Analyses. - 6. 4. Summary and Discussion. - 6. 5. Problems. - 6. 6. Literature Cited. - Appendix 6. 1. - Appendix 6. 2. - 7 Monocultures and Their Pairwise Combinations when Separate Crop Responses Are Not Available. - 7. 1. Introduction. - 7. 2. Treatment Designs. - 7. 3. Response Model Equations and Some Statistical Analyses. - 7. 4. Response Models for a Crop Competition Experiment. - 7. 5. Summary and Discussion. - 7. 6. Problems. - 7. 7. Literature Cited. - Appendix 7. 1. Derivation of Solutions for Response Model for Design 3. - Appendix 7. 2. Derivation of Solutions and Variances for Model 4 Example 7. 5. - 8 Spatial and Density Arrangements. - 8. 1. Introduction. - 8. 2. Spatial ArrangementsDensity Constant. - 8. 3. Spatial ArrangementsDensity Variable. - 8. 4. Statistical Analyses for the Arrangements in Section 8. 3. - 8. 5. Summary andDiscussion. - 8. 6. Problems. - 8. 7. Literature Cited. - 9 Some Analytical Variations for Intercropping Studies. - 9. 1. Introduction. - 9. 2. Replacement Series. - 9. 3. Other Indices. - 9. 4. Linear Programming. - 9. 5. Summary and Discussion. - 9. 6. Problems. - 9. 7. Literature Cited. - 10 Experiment Designs for Intercropping Experiments. - 10. 1. Introduction. - 10. 2. Principles of Design of Experiments. - 10. 3. Zero-Way Elimination of Heterogeneity. - 10. 4. One-Way Elimination of Heterogeneity. - 10. 5. Two-Way Elimination of Heterogeneity. - 10. 6. Split Plot and Split Block Designs. - 10. 7. More Complex Experiment Designs. - 10. 8. Plot Technique. - 10. 9. Stability Concepts and Parsimonious Experiment Design. - 10. 10. Problems. - 10. 11. Literature Cited. Language: English