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Quantitative Methods for Plant Breeding
This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.
- Author
- Walter Suza and Kendall Lamkey
- Publisher
- Iowa State University
- Source
- LibreTexts
- License
- CC BY-NC
- Language
- EN
- Category
- Basic Sciences
Contents· 18 sections
- 01: Chapters
- 1.01: Basic Principles
- 1.02: Distributions and Probability
- 1.03: Central Limit Theorem Confidence Intervals and Hypothesis Tests
- 1.04: Categorical Data - Binary
- 1.05: Categorical Data Multivariate
- 1.06: Continuous Data
- 1.07: Linear Correlation Regression and Prediction
- 1.08: The Analysis of Variance (ANOVA)
- 1.09: Two Factor ANOVAs
- 1.10: Mean Comparisons
- 1.11: Randomized Complete Block Design
- 1.12: Data Transformation
- 1.13: Multiple Regression
- 1.14: Nonlinear Regression
- 1.15: Multivariate Analysis
- 1.16: Algebra Review Guide
- 1.17: Applied Learning Activities